The impact of single nucleotide polymorphisms on patterns of non-contact musculoskeletal soft tissue injuries in a football player population according to ethnicity

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In recent decades, studies have begun to focus on the importance of the genetic component in the pathogenesis of non-contact musculoskeletal soft tissue injuries (NCMSTIs).<a class="elsevierStyleCrossRefs" href="#bib0025">5–7</a> There is great interindividual variation in degree of injury, response to treatment and recovery time to a specific kind of injury.<a class="elsevierStyleCrossRef" href="#bib0040">8</a> Several studies have demonstrated that the presence of certain single nucleotide polymorphisms (SNPs) in genes involved in tissue repair of muscles,<a class="elsevierStyleCrossRef" href="#bib0045">9</a> tendons<a class="elsevierStyleCrossRefs" href="#bib0050">10,11</a> and ligaments<a class="elsevierStyleCrossRef" href="#bib0060">12</a> can enhance recovery after injury.<a class="elsevierStyleCrossRefs" href="#bib0065">13,14</a>Recent studies have shown that some diseases follow different courses in different ethnic groups.<a class="elsevierStyleCrossRefs" href="#bib0075">15,16</a> For example, in a study examining differences in response to EPO therapy according to hemoglobin levels in patients with kidney disease and anemic complications, significant differences were observed in hemoglobin levels between the African Caribbean and the White populations. The authors concluded that these differences could affect treatment efficacy.<a class="elsevierStyleCrossRef" href="#bib0075">15</a> In addition, the frequency of certain SNPs varies among different ethnic groups.<a class="elsevierStyleCrossRefs" href="#bib0085">17–19</a> In the world of professional sports, and especially in professional football, the constant search for the best players for each playing position has led to teams being made up of players from different countries and different ethnic groups.In our previous study on the relation between SNPs and NCMSTIs in professional European football players,<a class="elsevierStyleCrossRef" href="#bib0100">20</a> we had recorded a total of 242 injuries (203 muscle, 24 ligament, and 15 tendon injuries) and found a statistically significant association between degree of injury and the IGF2 genotype (p=0.032). In addition, there was evidence of a statistically significant association between degree of muscle injury and CCL2 (p=0.013). Finally, we also found a significant relationship between ELN and recovery time (p=0.027).Based on these earlier results and given the importance of ethnicity in determining the frequency of certain SNPs, we chose to extend our previous work by examining the relationship between ethnicity, SNPs and NCMSTIs. We have examined eight SNPs in genes related to soft tissue repair and regeneration in blood drawn from the players and correlated our findings with type and severity of injuries in each ethnic group.Materials and methodsEthics statementThe study was approved by the Ethics Committee of the Hospital Clinic, Barcelona (registry no. 2012/7117).Subjects and epidemiological data on injuriesThe study comprised a total of 73 players of White, Black-African and Hispanic origin from Futbol Club Barcelona (Barcelona, Catalonia, Spain). Data were collected on NCMSTIs suffered by these football players over the course of three consecutive seasons (2009–2012) in accordance with the Union of European Football Association (UEFA) protocols.<a class="elsevierStyleCrossRef" href="#bib0105">21</a> Imaging techniques, such as ultrasounds and nuclear magnetic resonance (NMR), were used to morphologically classify the injuries by anatomic region. In addition, injuries were classified as mild, moderate or severe<a class="elsevierStyleCrossRef" href="#bib0110">22</a> according to their severity and the number of days that a player needed to be absent from training and/or competition.<a class="elsevierStyleCrossRefs" href="#bib0115">23,24</a>DNA extractionApproximately 4ml of whole blood was collected from each subject into EDTA vacutainer tubes and stored at 4° until total DNA extraction. Genomic DNA from whole blood was isolated using QIAmp DNA Blood Minikit (Qiagen, Valencia, CA) following the manufacturer's instructions. To measure DNA quantity a NanoDrop ND-1000 Spectrophotometer (Thermo Fisher Scientific Inc., Waltham, MA) was used. DNA was stored at −20° until utilization.Allelic discrimination analysisWe genotyped eight genes related to tissue repair (elastin [ELN]),<a class="elsevierStyleCrossRef" href="#bib0125">25</a> muscle assembly and force transmission (titin [TTN]),<a class="elsevierStyleCrossRef" href="#bib0130">26</a> skeletal muscle regeneration (SRY-related HMG-box [SOX15]),<a class="elsevierStyleCrossRef" href="#bib0135">27</a> muscle damage (insulin-like growth factor 2 [IGF2]),<a class="elsevierStyleCrossRef" href="#bib0140">28</a> response to muscle damage (chemokine, CC motif, ligand 2 [CCL2]),<a class="elsevierStyleCrossRef" href="#bib0145">29</a> ligament ruptures ([COL1A1] and collagen type 5 alpha 1 [COL5A1]).<a class="elsevierStyleCrossRef" href="#bib0150">30</a> and tendinopathy (COL5A1 and tenascin [TNC]).<a class="elsevierStyleCrossRefs" href="#bib0035">7,31</a><a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> shows the position of each SNP in its gene.<elsevierMultimedia ident="tbl0005"></elsevierMultimedia>Primers and probes were designed for the region of DNA according to the supplier's instructions and were obtained from Applied Biosystems (Applied Biosystems, Assays-on-Demand SNP genotyping product, Foster City, CA, USA).SNP analysis was performed using a real-time polymerase chain reaction (PCR) (Allelic Discrimination TaqMan Assay) with minor modifications, as previously described.<a class="elsevierStyleCrossRef" href="#bib0160">32</a>Statistical analysesThe genotypic polymorphisms – SNPs – evaluated and the corresponding distribution among ethnic patterns were shown, for descriptive purposes, following the cross tabulation table technique. Polymorphism frequencies of each gene for each ethnic group were presented as percentage. Statistical differences among groups were determined by the Chi-square test and the Fisher's exact test when necessary.The association between type and degree of injury and the SNPs for each ethnic group was investigated by using the Chi-square test. Fisher's exact test was used when SNPs with values≤5 were found. All statistical analyses were performed using the computer statistical package SPSS, version 15.0 for Windows (SPSS Inc., Chicago, IL, USA). Significance was set at p≤0.05.ResultsInterethnic variability in injury patternsThe present study consists of a sub-analysis of the 73 soccer players included in our previous study<a class="elsevierStyleCrossRef" href="#bib0100">20</a>; 43 players (58.9%) were Whites, 11 (15.1%) were Black Africans, and 19 (26%) were Hispanics. No differences in characteristics were observed among the three populations.A total of 242 injuries (203 muscle, 24 ligament, and 15 tendon injuries) were recorded. The 43 Whites suffered a total of 124 injuries, the 11 Black Africans 41 injuries, and the 19 Hispanics 77 injuries. <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows the distribution of each type of injury in each of the three ethnic groups. Interestingly, the Black Africans suffered no ligament injuries.<elsevierMultimedia ident="tbl0010"></elsevierMultimedia>Interethnic variability in genotypes and allelic frequencies<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the allelic frequencies of the eight genes. The allelic distribution is similar to those observed in NCBI dbSNP for European (HapMap CEU), Black African (HapMap YRI) and Hispanic (HISP1) populations. The frequency of the SNPs varied among the three ethnic groups (p<0.0001). The minor genotype of the ELN gene was AA for Whites (14%) but GG for both Black Africans (18.1%) and Hispanics (5.3%). The minor genotype of the TTN gene was GG in both Whites (4.7%) and Hispanics (10.5%) but AA in Black Africans (27.3%). The minor genotype of the CCL2 gene was CC in both Whites (11.6%) and Hispanics (10.5%), while among Black Africans, the GG and CC genotypes had a similar frequency (54.5% and 45.5%, respectively. The minor genotype of the COL1A1 gene was AA for Whites (4.7%), while this genotype was not observed among the Black Africans or the Hispanics. Finally, the TT genotype of the COL5A1 gene was not detected in any of the subjects.<elsevierMultimedia ident="tbl0015"></elsevierMultimedia>Interethnic variability in the relation between SNPs and injury patternsAmong the Whites, a near-significant association was observed between the pattern of muscle injuries and the IGF2 genotype (p=0.059) (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>A). The injuries distribution pattern for the seven individuals with the CC genotype shows a different trend as compared with the observed one from individuals with GC/GG genotype.<elsevierMultimedia ident="tbl0020"></elsevierMultimedia>Moreover, a statistically significant association between ELN and the ligament injury pattern was observed in the fifteen cases recorded (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>A). There are different injury patterns, among the nine individuals with GG genotype and the complementary thirty-four with AG/AA genotype (p=0.001).Additionally, a statistically significant association was observed between ELN (p=0.05) and IGF2 (p=0.05) and the pattern of the six tendinous injuries recorded (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>A). The injury pattern for the nine individuals with ELN GG genotype was different compared with the observed in the thirty-four individuals with AG/AA ELN genotype; as similarly occurs for the thirteen individuals with IGF2 GG genotype compared with the thirty individuals with IGF2 GC/CC genotype.Interestingly, no relation between SNPs and injury patterns was observed among Black Africans. Nevertheless, this fact could be explained by the limited number of individuals followed up and the injuries recorded.Among Hispanics, there was an association between the pattern of muscle injuries and the ELN (p=0.032) and IGF2 (p=0.016) genotypes (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>B). Nine individuals having ELN AA genotype showed a different pattern of injuries than the ten individuals with the corresponding AG or GG genotypes; and ten individuals with the IGF2 GG genotype showed a different injury pattern from the nine individuals with the GC or CC genotypes. Finally, a non-significant trend toward a different pattern of ligament injuries according to IGF2 genotype was observed (p=0.12).DiscussionNCMSTIs occur as a consequence of a combination of both extrinsic and intrinsic factors. The main extrinsic factors that may predispose football players to injury are the playing field,<a class="elsevierStyleCrossRef" href="#bib0165">33</a> the characteristics of the ball,<a class="elsevierStyleCrossRef" href="#bib0165">33</a> the climate,<a class="elsevierStyleCrossRef" href="#bib0165">33</a> the altitude,<a class="elsevierStyleCrossRefs" href="#bib0165">33,34</a> and the time when the match is played,<a class="elsevierStyleCrossRef" href="#bib0165">33</a> while the intrinsic variables include age,<a class="elsevierStyleCrossRef" href="#bib0165">33</a> sex<a class="elsevierStyleCrossRef" href="#bib0165">33</a> and previous injuries.<a class="elsevierStyleCrossRef" href="#bib0165">33</a> We have assessed SNPs in eight genes related to tissue repair and regeneration in three different ethnic groups. Our findings indicate that there is a significant interethnic variability in allele frequencies that should be taken into account when studying the etiology of NCMSTIs.In this preliminary study, all the players were subject to similar extrinsic factors. They live near the training field and were thus subjected to the same environmental conditions. Injury prevention protocols and the treatment protocol for each type of injury, including medication and physical therapy, were the same for all the players, and the same medical team supervised all treatment. All the players followed the same diet and used the same ergogenic aids. The amount of work was also similar for all players. Despite a strict control of these extrinsic factors, the players suffered different types and degrees of NCMSTIs, suggesting that other variables, including genetic variations<a class="elsevierStyleCrossRef" href="#bib0175">35</a> could be important causal factors in these injuries.A recent study comparing allele frequencies in genes related to drug metabolism in White, Japanese and Chilean populations concluded that ethnic variability must be taken into account when assessing polymorphisms in order to personalize cancer therapy.<a class="elsevierStyleCrossRef" href="#bib0180">36</a> Another study<a class="elsevierStyleCrossRef" href="#bib0185">37</a> found that the different frequencies of CYP1A1 alleles depend on ethnicity and that the association of certain CYP1A1 alleles with different types of cancer also depends on the racial origin.We have extended this work on interethnic genotypic variability related to the pathogenesis and treatment of several diseases by examining the potential differential effect of SNPs on patterns of NCMSTIs in three ethnic groups. SNPs in ELN and IGF2 were related to injuribility both in Whites and Hispanics. ELN is a self-assembling extracellular matrix protein that is the major source of tissue elasticity.<a class="elsevierStyleCrossRef" href="#bib0190">38</a> Our previous study<a class="elsevierStyleCrossRef" href="#bib0100">20</a> demonstrated that carriers of G allele had shorter recovery time and, perhaps, this characteristic is related to a more efficient elastin function because elastogenesis appears as a normal process as it is also the function of elastic fibers.<a class="elsevierStyleCrossRef" href="#bib0195">39</a> Another study demonstrated that patients with A allele had decreased arterial compliance compared to those with G variant.<a class="elsevierStyleCrossRef" href="#bib0200">40</a>IGF2, located in 11p15 and comprising 9 exons, plays a role in growth. Immunohistochemical analysis of muscle sections indicated that IGF2 expression increased in response to degeneration and regeneration in the days following an injury, influencing satellite cell activation.<a class="elsevierStyleCrossRef" href="#bib0205">41</a> In the present study, IGF2 was related to both muscle and tendon injuries among Whites. However, muscle injuries were related to the presence or absence of the G allele, while tendon injuries were related to the presence or absence of the C allele. Since muscle and tendon are different in composition and behavior<a class="elsevierStyleCrossRef" href="#bib0210">42</a> this is not strange.CCL2 is a chemokine produced by satellite cells and macrophages and plays key roles in inflammation and immunoregulation. It is well-known that CCL2 expression increases following muscle damage and plays roles in muscle repair and adaptation.<a class="elsevierStyleCrossRef" href="#bib0145">29</a> Moreover, SNPs in CCL2 gene are related to markers of muscle injury.<a class="elsevierStyleCrossRef" href="#bib0145">29</a>Here we have presented our preliminary and essentially descriptive results showing that individuals from different ethnic groups have different genotypes and injury patterns. Further studies are required to correlate these genetic differences with type and degree of injury and to determine which allele might confer greater protection against serious injury in members of each ethnic group. Our results can pave the way for the identification of a genetic profile based on SNPs that could determine the risk of injuribility for each individual, leading to an improved selection process and individualized treatment and preventive care options.<elsevierMultimedia ident="tb0005"></elsevierMultimedia>Conflict of interestThe authors declare no conflict of interest." "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres568371" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Subjects and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec585726" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres568372" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Fundamento y objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Sujetos y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec585725" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Materials and methods" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Ethics statement" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Subjects and epidemiological data on injuries" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "DNA extraction" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Allelic discrimination analysis" ] 4 => array:2 [ "identificador" => "sec0035" "titulo" => "Statistical analyses" ] ] ] 6 => array:3 [ "identificador" => "sec0040" "titulo" => "Results" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0045" "titulo" => "Interethnic variability in injury patterns" ] 1 => array:2 [ "identificador" => "sec0050" "titulo" => "Interethnic variability in genotypes and allelic frequencies" ] 2 => array:2 [ "identificador" => "sec0055" "titulo" => "Interethnic variability in the relation between SNPs and injury patterns" ] ] ] 7 => array:2 [ "identificador" => "sec0060" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0075" "titulo" => "Conflict of interest" ] 9 => array:2 [ "identificador" => "xack191806" "titulo" => "Acknowledgements" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2013-06-03" "fechaAceptado" => "2013-09-18" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec585726" "palabras" => array:3 [ 0 => "Single nucleotide polymorphisms (SNPs)" 1 => "Ethnicity" 2 => "Non-contact musculoskeletal soft tissue injuries" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec585725" "palabras" => array:3 [ 0 => "Polimorfismos genéticos de un solo nucleótico" 1 => "Raza" 2 => "Lesiones musculoesqueléticas producidas por el mecanismo de no contacto" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "Background and objectiveThe prevention, diagnosis, and management of non-contact musculoskeletal soft tissue injuries (NCMSTIs) related to participation in sports are key components of sport and exercise medicine. Epidemiological data have demonstrated the existence of interindividual differences in the severity of NCMSTIs, indicating that these injuries occur as a consequence of both extrinsic and intrinsic factors, including genetic variations. Subjects and methodsWe have collected data on NCMSTIs suffered by 73 elite players of White, black African and Hispanic ethnicity of European football over the course of three consecutive seasons. We have also examined eight single nucleotide polymorphisms (SNPs) in genes related to tissue recovery and tissue repair in blood drawn from the players and correlated our findings with type and severity of injuries in each ethnic group. ResultsThe frequency of the SNPs varied among the three ethnic sub-groups (p<0.0001). Among Whites, a significant relationship was observed between ligament injuries and ELN (p=0.001) and between tendinous injuries and ELN (p=0.05) and IGF2 (p=0.05). Among Hispanics, there was a significant relation between muscle injuries and ELN (p=0.032) and IGF2 (p=0.016). ConclusionsInterracial genotypic differences may be important in the study of NCMSTIs. A genetic profile based on SNPs may be useful tool to describe each individual's injuribility risk and provide specific treatment and preventive care for football players." "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Subjects and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "Fundamento y objetivoLa prevención, el diagnóstico y el tratamiento de las non-contact musculoskeletal soft tissue injuries (NCMSTI, «lesiones musculoesqueléticas producidas por el mecanismo de no contacto») son factores clave en el deporte y en la medicina deportiva. La interacción entre factores extrínsecos e intrínsecos, incluyendo en estos últimos los factores genéticos, es determinante en la causalidad de las NCMSTI. Sujetos y métodosSe han recogido las lesiones sufridas por 73 jugadores de fútbol profesional de diferentes razas (caucásicos, africanos subsaharianos e hispánicos), ocurridas durante 3 temporadas consecutivas. Se analizó la presencia de single nucleotide polymorphisms (SNP, «polimorfismos genéticos de un solo nucleótido») en un conjunto de genes relacionados con la reparación y la regeneración del tejido a partir de sangre obtenida de los jugadores, y se correlacionó con el tipo y grado de lesión en cada grupo racial. ResultadosLa frecuencia de aparición de los SNP varía en las 3 poblaciones estudiadas (p<0,0001). En cuanto a la población caucásica, se observa una relación estadísticamente significativa entre lesiones ligamentosas y ELN (p=0,001) y entre lesión tendinosa y ELN (p=0,05) e IGF2 (p=0,05). En cuanto a la población hispánica, existe una relación estadísticamente significativa entre la lesión muscular y ELN (p=0,032) e IGF2 (p=0,016). ConclusionesLas diferencias genotípicas interraciales pueden ser importantes en el estudio de las NCMSTI. Un perfil genético basado en los SNP podría ser una herramienta útil para describir el riesgo individual de un individuo a lesionarse y poder aplicar de esta manera los tratamientos preventivos adecuados." "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Fundamento y objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Sujetos y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:3 [ "etiqueta" => "1" "nota" => "These two authors contributed equally to the study." "identificador" => "fn0005" ] ] "apendice" => array:1 [ 0 => array:1 [ "seccion" => array:1 [ 0 => array:4 [ "apendice" => "The following are the supplementary data to this article:" "etiqueta" => "Appendix A" "titulo" => "Supplementary data" "identificador" => "sec0085" ] ] ] ] "multimedia" => array:5 [ 0 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Gene \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">SNP position \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">ELN \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6124052T>C \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">TTN \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">89464A>G \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">SOX15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">392C>T \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">IGF2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13790C>G \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">CCL2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">G7319001G>C \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">TNC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">46973317T>A \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">COL1A1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6252G>T \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">COL5A1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">643223C>T \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab924971.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Genes examined with the position of each SNP." ] ] 1 => array:7 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col">Ethnic group \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Site of injury</th><th class="td" title="table-head " align="left" valign="top" scope="col">Total \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Muscle \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Ligament \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Tendon \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Whites (n=43) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">103 (83.06%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 (12.09%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (4.85) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">124 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Black Africans (n=11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36 (87.80%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (12.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">41 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Hispanics (n=19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">64 (83.11%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 (11.68%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (5.21%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">77 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab924973.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Number and site of injuries in the three ethnic groups studied." ] ] 2 => array:7 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col">Gene \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">Genotype \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Population</th><th class="td" title="table-head " align="left" valign="top" scope="col">p-Value \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Whites (n=43) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Black Africans (n=11) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Hispanics (n=19) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">ELN \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">AA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (14%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (45.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 (47.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GG \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 (21%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (18.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (5.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">AG \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">28 (65.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (36.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 (47.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">TTN \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">AA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25 (58.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (27.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 (47.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GG \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (4.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (27.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (10.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">AG \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16 (37.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (45.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 (42.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">SOX15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">TT \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">27 (62.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (36.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 (63.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GG \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (4.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (27.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (10.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">TG \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14(32.6)% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (36.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (26.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">IGF2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GG \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 (30.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (45.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 (52.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">CC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (16.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (27.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (15.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">23 (53.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (27.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (31.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">CCL2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GG \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17 (39.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (54.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 (47.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">CC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (11.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (45.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (10.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21 (48.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 (42.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">TNC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">AA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 (30.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (45.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 (42.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">TT \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 (18.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (18.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (26.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">AT \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22 (51.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (36.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (31.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">COL1A1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GG \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">31 (72.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 (81.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12(63.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">AA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (4.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 (23.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (18.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 (36.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">COL5A1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">CC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 (23.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 (81.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6 (31.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.0001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">TC \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32 (76.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (18.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 (68.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">TT \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab924974.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Genotypic frequencies observed in the present study. Data were similar to those observed in NCBI dbSNP for European (HapMap CEU), Black African (HapMap YRI) and Hispanic (HISP1) populations." ] ] 3 => array:7 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "Italics: p-value indicates that that the injury pattern differs according the genotype." "tablatextoimagen" => array:4 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " colspan="7" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">(A)</th></tr><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col">Gene \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">Genotype \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Muscle injuries</th><th class="td" title="table-head " align="left" valign="top" scope="col">p-Value \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Mild \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Moderate \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Severe \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Total \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">IGF2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">CC (n=7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">10 (58.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">5 (29.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2 (11.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">17 (16.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.059 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GC/GG (n=36) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">56 (65.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">29 (33.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1 (1.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">86 (83.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab924970.png" ] ] 1 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col">Gene \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">Genotype \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Ligament injuries</th><th class="td" title="table-head " align="left" valign="top" scope="col">p-Value \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">Mild \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">Moderate \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">Severe \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">Total \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col"> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">ELN \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GG (n=9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2 (100%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2 (13.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">AG/AA (n=34) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">10 (76.9%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3 (23.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">13 (86.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab924972.png" ] ] 2 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col">Gene \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">Genotype \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Tendon injuries</th><th class="td" title="table-head " align="left" valign="top" scope="col">p-Value \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Mild \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Moderate \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Severe \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Total \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">ELN \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GG (n=9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (100%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (16.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.05 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">AG/AA (n=34) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (80%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (20%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (83.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">IGF2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GG (n=13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (100%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (16.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.05 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GC/CC (n=30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (20%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (80%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (83.3%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab924976.png" ] ] 3 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " colspan="7" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">(B)</th></tr><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col">Gene \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">Genotype \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="4" align="center" valign="top" scope="col">Muscle injuries</th><th class="td" title="table-head " align="left" valign="top" scope="col">p-Value \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Mild \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Moderate \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Severe \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Total \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">ELN \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">AA (n=9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 (48.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13(48.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1(3.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">27 (42.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.032 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">AG/GG (n=10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">29 (78.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 (21.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 (0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37 (57.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">IGF2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GG (n=10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">31 (77.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 (20%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (2.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">40 (62.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.016 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">GC/CC (n=9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 (45.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 (54.2%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">24 (37.5%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab924975.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Injury pattern among Whites (A) and Hispanics (B) according to genotype. No differences according to genotype were observed among the Black African population (see supplementary files)." ] ] 4 => array:5 [ "identificador" => "tb0005" "tipo" => "MULTIMEDIATEXTO" "mostrarFloat" => false "mostrarDisplay" => true "texto" => array:1 [ "textoCompleto" => "New findingsSNPs study constitutes a new field of investigation in Sports Medicine which will help us to identify individuals with shorter recovery and those with greater risk of injury. Individuals from different ethnic groups have different genotypes and injury patterns but further studies are required to correlate these genetic differences with type and degree of injury and to determine which allele might confer greater protection against serious injury in members of each ethnic group.Future impactThe genetic profile based on the SNPs can be used to describe, as objectively as possible, each individual's injuribility risk. Our results can pave the way for the identification of a genetic profile based on SNPs that could determine the risk of injuribility for each individual, leading to an improved selection process and individualized treatment and preventive care options." ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:42 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Epidemiology of muscle injuries in professional football (soccer)" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "J. Ekstrand" 1 => "M. Hägglund" 2 => "M. Waldén" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:5 [ "tituloSerie" => "AJSM" "fecha" => "2011" "volumen" => "39" "paginaInicial" => "1226" "paginaFinal" => "1232" ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0010" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Injury incidence and injury patterns in professional football: the UEFA injury study" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:3 [ 0 => "J. Ekstrand" 1 => "M. Hägglund" 2 => "M. Waldén" ] ] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1136/bjsm.2009.060582" "Revista" => array:6 [ "tituloSerie" => "BJSM" "fecha" => "2011" "volumen" => "45" "paginaInicial" => "553" "paginaFinal" => "558" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/19553225" "web" => "Medline" ] ] ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0015" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Hamstring muscle injuries in professional football: the correlation of MRI findings with return to play" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "J. Ekstrand" 1 => "J.C. Healy" 2 => "M. Waldén" 3 => "J.C. Lee" 4 => "B. English" 5 => "M. 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Original article

The impact of single nucleotide polymorphisms on patterns of non-contact musculoskeletal soft tissue injuries in a football player population according to ethnicity

Impacto de los polimorfismos de nucleótido único en los patrones de lesiones de tejido muscular esqueletico, sin mecanismo de contacto, en una población de jugadores de fútbol según la etnia

Ricard Prunaa,1, Jordi Ribasb,c, Jose Bruno Montorod,c, Rosa Artellsb,1,

Corresponding author

rosa_artells@hotmail.com

Corresponding author.

a Futbol Club Barcelona Medical Services, Barcelona, Spain

b Human Anatomy and Embryology Unit, School of Medicine, University of Barcelona, Barcelona, Spain

c School of Sports Medicine, School of Medicine, University of Barcelona, Barcelona, Spain

d Department of Pharmacy and Pharmaceutical Technology, School of Pharmacy, University of Barcelona, Barcelona, Spain

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    "titulo" => "The impact of single nucleotide polymorphisms on patterns of non-contact musculoskeletal soft tissue injuries in a football player population according to ethnicity"
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        "titulo" => "Impacto de los polimorfismos de nucle&#243;tido &#250;nico en los patrones de lesiones de tejido muscular esqueletico&#44; sin mecanismo de contacto&#44; en una poblaci&#243;n de jugadores de f&#250;tbol seg&#250;n la etnia"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Epidemiological studies are the most reliable source of our current knowledge of injuribility&#46;<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1&#8211;3</span></a> However&#44; few serious studies on the etiology of injuries have been performed&#44;<a class="elsevierStyleCrossRef" href="#bib0020"><span class="elsevierStyleSup">4</span></a> and no scientific evidence has yet conclusively identified potential risk factors related to injuribility&#46; In recent decades&#44; studies have begun to focus on the importance of the genetic component in the pathogenesis of non-contact musculoskeletal soft tissue injuries &#40;NCMSTIs&#41;&#46;<a class="elsevierStyleCrossRefs" href="#bib0025"><span class="elsevierStyleSup">5&#8211;7</span></a> There is great interindividual variation in degree of injury&#44; response to treatment and recovery time to a specific kind of injury&#46;<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a> Several studies have demonstrated that the presence of certain single nucleotide polymorphisms &#40;SNPs&#41; in genes involved in tissue repair of muscles&#44;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> tendons<a class="elsevierStyleCrossRefs" href="#bib0050"><span class="elsevierStyleSup">10&#44;11</span></a> and ligaments<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a> can enhance recovery after injury&#46;<a class="elsevierStyleCrossRefs" href="#bib0065"><span class="elsevierStyleSup">13&#44;14</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Recent studies have shown that some diseases follow different courses in different ethnic groups&#46;<a class="elsevierStyleCrossRefs" href="#bib0075"><span class="elsevierStyleSup">15&#44;16</span></a> For example&#44; in a study examining differences in response to EPO therapy according to hemoglobin levels in patients with kidney disease and anemic complications&#44; significant differences were observed in hemoglobin levels between the African Caribbean and the White populations&#46; The authors concluded that these differences could affect treatment efficacy&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> In addition&#44; the frequency of certain SNPs varies among different ethnic groups&#46;<a class="elsevierStyleCrossRefs" href="#bib0085"><span class="elsevierStyleSup">17&#8211;19</span></a> In the world of professional sports&#44; and especially in professional football&#44; the constant search for the best players for each playing position has led to teams being made up of players from different countries and different ethnic groups&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">In our previous study on the relation between SNPs and NCMSTIs in professional European football players&#44;<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a> we had recorded a total of 242 injuries &#40;203 muscle&#44; 24 ligament&#44; and 15 tendon injuries&#41; and found a statistically significant association between degree of injury and the IGF2 genotype &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;032&#41;&#46; In addition&#44; there was evidence of a statistically significant association between degree of muscle injury and CCL2 &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;013&#41;&#46; Finally&#44; we also found a significant relationship between ELN and recovery time &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;027&#41;&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">Based on these earlier results and given the importance of ethnicity in determining the frequency of certain SNPs&#44; we chose to extend our previous work by examining the relationship between ethnicity&#44; SNPs and NCMSTIs&#46; We have examined eight SNPs in genes related to soft tissue repair and regeneration in blood drawn from the players and correlated our findings with type and severity of injuries in each ethnic group&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Materials and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Ethics statement</span><p id="par0025" class="elsevierStylePara elsevierViewall">The study was approved by the Ethics Committee of the Hospital Clinic&#44; Barcelona &#40;registry no&#46; 2012&#47;7117&#41;&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Subjects and epidemiological data on injuries</span><p id="par0030" class="elsevierStylePara elsevierViewall">The study comprised a total of 73 players of White&#44; Black-African and Hispanic origin from Futbol Club Barcelona &#40;Barcelona&#44; Catalonia&#44; Spain&#41;&#46; Data were collected on NCMSTIs suffered by these football players over the course of three consecutive seasons &#40;2009&#8211;2012&#41; in accordance with the Union of European Football Association &#40;UEFA&#41; protocols&#46;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> Imaging techniques&#44; such as ultrasounds and nuclear magnetic resonance &#40;NMR&#41;&#44; were used to morphologically classify the injuries by anatomic region&#46; In addition&#44; injuries were classified as mild&#44; moderate or severe<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a> according to their severity and the number of days that a player needed to be absent from training and&#47;or competition&#46;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">23&#44;24</span></a></p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">DNA extraction</span><p id="par0035" class="elsevierStylePara elsevierViewall">Approximately 4<span class="elsevierStyleHsp" style=""></span>ml of whole blood was collected from each subject into EDTA vacutainer tubes and stored at 4&#176; until total DNA extraction&#46; Genomic DNA from whole blood was isolated using QIAmp DNA Blood Minikit &#40;Qiagen&#44; Valencia&#44; CA&#41; following the manufacturer&#39;s instructions&#46; To measure DNA quantity a NanoDrop ND-1000 Spectrophotometer &#40;Thermo Fisher Scientific Inc&#46;&#44; Waltham&#44; MA&#41; was used&#46; DNA was stored at &#8722;20&#176; until utilization&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Allelic discrimination analysis</span><p id="par0040" class="elsevierStylePara elsevierViewall">We genotyped eight genes related to tissue repair &#40;elastin &#91;ELN&#93;&#41;&#44;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">25</span></a> muscle assembly and force transmission &#40;titin &#91;TTN&#93;&#41;&#44;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">26</span></a> skeletal muscle regeneration &#40;SRY-related HMG-box &#91;SOX15&#93;&#41;&#44;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> muscle damage &#40;insulin-like growth factor 2 &#91;IGF2&#93;&#41;&#44;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">28</span></a> response to muscle damage &#40;chemokine&#44; CC motif&#44; ligand 2 &#91;CCL2&#93;&#41;&#44;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">29</span></a> ligament ruptures &#40;&#91;COL1A1&#93; and collagen type 5 alpha 1 &#91;COL5A1&#93;&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">30</span></a> and tendinopathy &#40;COL5A1 and tenascin &#91;TNC&#93;&#41;&#46;<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7&#44;31</span></a><a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> shows the position of each SNP in its gene&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0045" class="elsevierStylePara elsevierViewall">Primers and probes were designed for the region of DNA according to the supplier&#39;s instructions and were obtained from Applied Biosystems &#40;Applied Biosystems&#44; Assays-on-Demand SNP genotyping product&#44; Foster City&#44; CA&#44; USA&#41;&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">SNP analysis was performed using a real-time polymerase chain reaction &#40;PCR&#41; &#40;Allelic Discrimination TaqMan Assay&#41; with minor modifications&#44; as previously described&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">32</span></a></p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Statistical analyses</span><p id="par0055" class="elsevierStylePara elsevierViewall">The genotypic polymorphisms &#8211; SNPs &#8211; evaluated and the corresponding distribution among ethnic patterns were shown&#44; for descriptive purposes&#44; following the cross tabulation table technique&#46; Polymorphism frequencies of each gene for each ethnic group were presented as percentage&#46; Statistical differences among groups were determined by the Chi-square test and the Fisher&#39;s exact test when necessary&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">The association between type and degree of injury and the SNPs for each ethnic group was investigated by using the Chi-square test&#46; Fisher&#39;s exact test was used when SNPs with values<span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>5 were found&#46; All statistical analyses were performed using the computer statistical package SPSS&#44; version 15&#46;0 for Windows &#40;SPSS Inc&#46;&#44; Chicago&#44; IL&#44; USA&#41;&#46; Significance was set at <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#8804;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#46;</p></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Results</span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Interethnic variability in injury patterns</span><p id="par0065" class="elsevierStylePara elsevierViewall">The present study consists of a sub-analysis of the 73 soccer players included in our previous study<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a>&#59; 43 players &#40;58&#46;9&#37;&#41; were Whites&#44; 11 &#40;15&#46;1&#37;&#41; were Black Africans&#44; and 19 &#40;26&#37;&#41; were Hispanics&#46; No differences in characteristics were observed among the three populations&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">A total of 242 injuries &#40;203 muscle&#44; 24 ligament&#44; and 15 tendon injuries&#41; were recorded&#46; The 43 Whites suffered a total of 124 injuries&#44; the 11 Black Africans 41 injuries&#44; and the 19 Hispanics 77 injuries&#46; <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows the distribution of each type of injury in each of the three ethnic groups&#46; Interestingly&#44; the Black Africans suffered no ligament injuries&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Interethnic variability in genotypes and allelic frequencies</span><p id="par0075" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows the allelic frequencies of the eight genes&#46; The allelic distribution is similar to those observed in NCBI dbSNP for European &#40;HapMap CEU&#41;&#44; Black African &#40;HapMap YRI&#41; and Hispanic &#40;HISP1&#41; populations&#46; The frequency of the SNPs varied among the three ethnic groups &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;0001&#41;&#46; The minor genotype of the ELN gene was AA for Whites &#40;14&#37;&#41; but GG for both Black Africans &#40;18&#46;1&#37;&#41; and Hispanics &#40;5&#46;3&#37;&#41;&#46; The minor genotype of the TTN gene was GG in both Whites &#40;4&#46;7&#37;&#41; and Hispanics &#40;10&#46;5&#37;&#41; but AA in Black Africans &#40;27&#46;3&#37;&#41;&#46; The minor genotype of the CCL2 gene was CC in both Whites &#40;11&#46;6&#37;&#41; and Hispanics &#40;10&#46;5&#37;&#41;&#44; while among Black Africans&#44; the GG and CC genotypes had a similar frequency &#40;54&#46;5&#37; and 45&#46;5&#37;&#44; respectively&#46; The minor genotype of the COL1A1 gene was AA for Whites &#40;4&#46;7&#37;&#41;&#44; while this genotype was not observed among the Black Africans or the Hispanics&#46; Finally&#44; the TT genotype of the COL5A1 gene was not detected in any of the subjects&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Interethnic variability in the relation between SNPs and injury patterns</span><p id="par0080" class="elsevierStylePara elsevierViewall">Among the Whites&#44; a near-significant association was observed between the pattern of muscle injuries and the IGF2 genotype &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;059&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>A&#41;&#46; The injuries distribution pattern for the seven individuals with the CC genotype shows a different trend as compared with the observed one from individuals with GC&#47;GG genotype&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0085" class="elsevierStylePara elsevierViewall">Moreover&#44; a statistically significant association between ELN and the ligament injury pattern was observed in the fifteen cases recorded &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>A&#41;&#46; There are different injury patterns&#44; among the nine individuals with GG genotype and the complementary thirty-four with AG&#47;AA genotype &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#46;</p><p id="par0090" class="elsevierStylePara elsevierViewall">Additionally&#44; a statistically significant association was observed between ELN &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41; and IGF2 &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41; and the pattern of the six tendinous injuries recorded &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>A&#41;&#46; The injury pattern for the nine individuals with ELN GG genotype was different compared with the observed in the thirty-four individuals with AG&#47;AA ELN genotype&#59; as similarly occurs for the thirteen individuals with IGF2 GG genotype compared with the thirty individuals with IGF2 GC&#47;CC genotype&#46;</p><p id="par0095" class="elsevierStylePara elsevierViewall">Interestingly&#44; no relation between SNPs and injury patterns was observed among Black Africans&#46; Nevertheless&#44; this fact could be explained by the limited number of individuals followed up and the injuries recorded&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">Among Hispanics&#44; there was an association between the pattern of muscle injuries and the ELN &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;032&#41; and IGF2 &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;016&#41; genotypes &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>B&#41;&#46; Nine individuals having ELN AA genotype showed a different pattern of injuries than the ten individuals with the corresponding AG or GG genotypes&#59; and ten individuals with the IGF2 GG genotype showed a different injury pattern from the nine individuals with the GC or CC genotypes&#46; Finally&#44; a non-significant trend toward a different pattern of ligament injuries according to IGF2 genotype was observed &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;12&#41;&#46;</p></span></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Discussion</span><p id="par0105" class="elsevierStylePara elsevierViewall">NCMSTIs occur as a consequence of a combination of both extrinsic and intrinsic factors&#46; The main extrinsic factors that may predispose football players to injury are the playing field&#44;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> the characteristics of the ball&#44;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> the climate&#44;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> the altitude&#44;<a class="elsevierStyleCrossRefs" href="#bib0165"><span class="elsevierStyleSup">33&#44;34</span></a> and the time when the match is played&#44;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> while the intrinsic variables include age&#44;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> sex<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> and previous injuries&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> We have assessed SNPs in eight genes related to tissue repair and regeneration in three different ethnic groups&#46; Our findings indicate that there is a significant interethnic variability in allele frequencies that should be taken into account when studying the etiology of NCMSTIs&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">In this preliminary study&#44; all the players were subject to similar extrinsic factors&#46; They live near the training field and were thus subjected to the same environmental conditions&#46; Injury prevention protocols and the treatment protocol for each type of injury&#44; including medication and physical therapy&#44; were the same for all the players&#44; and the same medical team supervised all treatment&#46; All the players followed the same diet and used the same ergogenic aids&#46; The amount of work was also similar for all players&#46; Despite a strict control of these extrinsic factors&#44; the players suffered different types and degrees of NCMSTIs&#44; suggesting that other variables&#44; including genetic variations<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">35</span></a> could be important causal factors in these injuries&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">A recent study comparing allele frequencies in genes related to drug metabolism in White&#44; Japanese and Chilean populations concluded that ethnic variability must be taken into account when assessing polymorphisms in order to personalize cancer therapy&#46;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">36</span></a> Another study<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">37</span></a> found that the different frequencies of CYP1A1 alleles depend on ethnicity and that the association of certain CYP1A1 alleles with different types of cancer also depends on the racial origin&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">We have extended this work on interethnic genotypic variability related to the pathogenesis and treatment of several diseases by examining the potential differential effect of SNPs on patterns of NCMSTIs in three ethnic groups&#46; SNPs in ELN and IGF2 were related to injuribility both in Whites and Hispanics&#46; ELN is a self-assembling extracellular matrix protein that is the major source of tissue elasticity&#46;<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">38</span></a> Our previous study<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a> demonstrated that carriers of G allele had shorter recovery time and&#44; perhaps&#44; this characteristic is related to a more efficient elastin function because elastogenesis appears as a normal process as it is also the function of elastic fibers&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">39</span></a> Another study demonstrated that patients with A allele had decreased arterial compliance compared to those with G variant&#46;<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">40</span></a></p><p id="par0125" class="elsevierStylePara elsevierViewall">IGF2&#44; located in 11p15 and comprising 9 exons&#44; plays a role in growth&#46; Immunohistochemical analysis of muscle sections indicated that IGF2 expression increased in response to degeneration and regeneration in the days following an injury&#44; influencing satellite cell activation&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a> In the present study&#44; IGF2 was related to both muscle and tendon injuries among Whites&#46; However&#44; muscle injuries were related to the presence or absence of the G allele&#44; while tendon injuries were related to the presence or absence of the C allele&#46; Since muscle and tendon are different in composition and behavior<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">42</span></a> this is not strange&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">CCL2 is a chemokine produced by satellite cells and macrophages and plays key roles in inflammation and immunoregulation&#46; It is well-known that CCL2 expression increases following muscle damage and plays roles in muscle repair and adaptation&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">29</span></a> Moreover&#44; SNPs in CCL2 gene are related to markers of muscle injury&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">29</span></a></p><p id="par0135" class="elsevierStylePara elsevierViewall">Here we have presented our preliminary and essentially descriptive results showing that individuals from different ethnic groups have different genotypes and injury patterns&#46; Further studies are required to correlate these genetic differences with type and degree of injury and to determine which allele might confer greater protection against serious injury in members of each ethnic group&#46; Our results can pave the way for the identification of a genetic profile based on SNPs that could determine the risk of injuribility for each individual&#44; leading to an improved selection process and individualized treatment and preventive care options&#46;<elsevierMultimedia ident="tb0005"></elsevierMultimedia></p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Conflict of interest</span><p id="par0150" class="elsevierStylePara elsevierViewall">The authors declare no conflict of interest&#46;</p></span></span>"
    "textoCompletoSecciones" => array:1 [
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        0 => array:3 [
          "identificador" => "xres568371"
          "titulo" => "Abstract"
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            0 => array:2 [
              "identificador" => "abst0005"
              "titulo" => "Background and objective"
            ]
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              "titulo" => "Subjects and methods"
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          "identificador" => "xpalclavsec585726"
          "titulo" => "Keywords"
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          "titulo" => "Resumen"
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            0 => array:2 [
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              "titulo" => "Fundamento y objetivo"
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              "identificador" => "abst0030"
              "titulo" => "Sujetos y m&#233;todos"
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              "titulo" => "Resultados"
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          "titulo" => "Palabras clave"
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          "identificador" => "sec0005"
          "titulo" => "Introduction"
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          "identificador" => "sec0010"
          "titulo" => "Materials and methods"
          "secciones" => array:5 [
            0 => array:2 [
              "identificador" => "sec0015"
              "titulo" => "Ethics statement"
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            1 => array:2 [
              "identificador" => "sec0020"
              "titulo" => "Subjects and epidemiological data on injuries"
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            2 => array:2 [
              "identificador" => "sec0025"
              "titulo" => "DNA extraction"
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            3 => array:2 [
              "identificador" => "sec0030"
              "titulo" => "Allelic discrimination analysis"
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              "titulo" => "Statistical analyses"
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          "titulo" => "Results"
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            0 => array:2 [
              "identificador" => "sec0045"
              "titulo" => "Interethnic variability in injury patterns"
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              "identificador" => "sec0050"
              "titulo" => "Interethnic variability in genotypes and allelic frequencies"
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              "identificador" => "sec0055"
              "titulo" => "Interethnic variability in the relation between SNPs and injury patterns"
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          "identificador" => "sec0060"
          "titulo" => "Discussion"
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          "identificador" => "sec0075"
          "titulo" => "Conflict of interest"
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          "identificador" => "xack191806"
          "titulo" => "Acknowledgements"
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        10 => array:1 [
          "titulo" => "References"
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    "pdfFichero" => "main.pdf"
    "tienePdf" => true
    "fechaRecibido" => "2013-06-03"
    "fechaAceptado" => "2013-09-18"
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        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Keywords"
          "identificador" => "xpalclavsec585726"
          "palabras" => array:3 [
            0 => "Single nucleotide polymorphisms &#40;SNPs&#41;"
            1 => "Ethnicity"
            2 => "Non-contact musculoskeletal soft tissue injuries"
          ]
        ]
      ]
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        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Palabras clave"
          "identificador" => "xpalclavsec585725"
          "palabras" => array:3 [
            0 => "Polimorfismos gen&#233;ticos de un solo nucle&#243;tico"
            1 => "Raza"
            2 => "Lesiones musculoesquel&#233;ticas producidas por el mecanismo de no contacto"
          ]
        ]
      ]
    ]
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    "resumen" => array:2 [
      "en" => array:3 [
        "titulo" => "Abstract"
        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Background and objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">The prevention&#44; diagnosis&#44; and management of non-contact musculoskeletal soft tissue injuries &#40;NCMSTIs&#41; related to participation in sports are key components of sport and exercise medicine&#46; Epidemiological data have demonstrated the existence of interindividual differences in the severity of NCMSTIs&#44; indicating that these injuries occur as a consequence of both extrinsic and intrinsic factors&#44; including genetic variations&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Subjects and methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">We have collected data on NCMSTIs suffered by 73 elite players of White&#44; black African and Hispanic ethnicity of European football over the course of three consecutive seasons&#46; We have also examined eight single nucleotide polymorphisms &#40;SNPs&#41; in genes related to tissue recovery and tissue repair in blood drawn from the players and correlated our findings with type and severity of injuries in each ethnic group&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">The frequency of the SNPs varied among the three ethnic sub-groups &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;0001&#41;&#46; Among Whites&#44; a significant relationship was observed between ligament injuries and ELN &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41; and between tendinous injuries and ELN &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41; and IGF2 &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;05&#41;&#46; Among Hispanics&#44; there was a significant relation between muscle injuries and ELN &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;032&#41; and IGF2 &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;016&#41;&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Interracial genotypic differences may be important in the study of NCMSTIs&#46; A genetic profile based on SNPs may be useful tool to describe each individual&#39;s injuribility risk and provide specific treatment and preventive care for football players&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0005"
            "titulo" => "Background and objective"
          ]
          1 => array:2 [
            "identificador" => "abst0010"
            "titulo" => "Subjects and methods"
          ]
          2 => array:2 [
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            "titulo" => "Results"
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            "titulo" => "Conclusions"
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        "titulo" => "Resumen"
        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Fundamento y objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">La prevenci&#243;n&#44; el diagn&#243;stico y el tratamiento de las <span class="elsevierStyleItalic">non-contact musculoskeletal soft tissue injuries</span> &#40;NCMSTI&#44; &#171;lesiones musculoesquel&#233;ticas producidas por el mecanismo de no contacto&#187;&#41; son factores clave en el deporte y en la medicina deportiva&#46; La interacci&#243;n entre factores extr&#237;nsecos e intr&#237;nsecos&#44; incluyendo en estos &#250;ltimos los factores gen&#233;ticos&#44; es determinante en la causalidad de las NCMSTI&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Sujetos y m&#233;todos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Se han recogido las lesiones sufridas por 73 jugadores de f&#250;tbol profesional de diferentes razas &#40;cauc&#225;sicos&#44; africanos subsaharianos e hisp&#225;nicos&#41;&#44; ocurridas durante 3 temporadas consecutivas&#46; Se analiz&#243; la presencia de <span class="elsevierStyleItalic">single nucleotide polymorphisms</span> &#40;SNP&#44; &#171;polimorfismos gen&#233;ticos de un solo nucle&#243;tido&#187;&#41; en un conjunto de genes relacionados con la reparaci&#243;n y la regeneraci&#243;n del tejido a partir de sangre obtenida de los jugadores&#44; y se correlacion&#243; con el tipo y grado de lesi&#243;n en cada grupo racial&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">La frecuencia de aparici&#243;n de los SNP var&#237;a en las 3 poblaciones estudiadas &#40;p<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#44;0001&#41;&#46; En cuanto a la poblaci&#243;n cauc&#225;sica&#44; se observa una relaci&#243;n estad&#237;sticamente significativa entre lesiones ligamentosas y ELN &#40;p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;001&#41; y entre lesi&#243;n tendinosa y ELN &#40;p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;05&#41; e IGF2 &#40;p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;05&#41;&#46; En cuanto a la poblaci&#243;n hisp&#225;nica&#44; existe una relaci&#243;n estad&#237;sticamente significativa entre la lesi&#243;n muscular y ELN &#40;p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;032&#41; e IGF2 &#40;p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;016&#41;&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Las diferencias genot&#237;picas interraciales pueden ser importantes en el estudio de las NCMSTI&#46; Un perfil gen&#233;tico basado en los SNP podr&#237;a ser una herramienta &#250;til para describir el riesgo individual de un individuo a lesionarse y poder aplicar de esta manera los tratamientos preventivos adecuados&#46;</p></span>"
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            "identificador" => "abst0025"
            "titulo" => "Fundamento y objetivo"
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            "titulo" => "Sujetos y m&#233;todos"
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            "titulo" => "Resultados"
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        "nota" => "<p class="elsevierStyleNotepara" id="npar0005">These two authors contributed equally to the study&#46;</p>"
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            "apendice" => "<p id="par0165" class="elsevierStylePara elsevierViewall">The following are the supplementary data to this article&#58;</p>"
            "etiqueta" => "Appendix A"
            "titulo" => "Supplementary data"
            "identificador" => "sec0085"
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      ]
    ]
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Gene&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">SNP position&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">ELN&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6124052T&#62;C&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">TTN&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">89464A&#62;G&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">SOX15&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">392C&#62;T&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">IGF2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">13790C&#62;G&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">CCL2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">G7319001G&#62;C&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">TNC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">46973317T&#62;A&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">COL1A1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6252G&#62;T&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">COL5A1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">643223C&#62;T&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
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        "descripcion" => array:1 [
          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Genes examined with the position of each SNP&#46;</p>"
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        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
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        "tabla" => array:1 [
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col">Ethnic group&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Site of injury</th><th class="td" title="table-head  " align="left" valign="top" scope="col">Total&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Muscle&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Ligament&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Tendon&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">Whites &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>43&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">103 &#40;83&#46;06&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">15 &#40;12&#46;09&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6 &#40;4&#46;85&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">124&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">Black Africans &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>11&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">36 &#40;87&#46;80&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5 &#40;12&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">41&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">Hispanics &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>19&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">64 &#40;83&#46;11&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9 &#40;11&#46;68&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4 &#40;5&#46;21&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">77&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Number and site of injuries in the three ethnic groups studied&#46;</p>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col">Gene&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col">Genotype&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " colspan="3" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Population</th><th class="td" title="table-head  " align="left" valign="top" scope="col"><span class="elsevierStyleItalic">p</span>-Value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Whites &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>43&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Black Africans &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>11&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Hispanics &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>19&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">ELN&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">AA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6 &#40;14&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5 &#40;45&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9 &#40;47&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">GG&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9 &#40;21&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2 &#40;18&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1 &#40;5&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">AG&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">28 &#40;65&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4 &#40;36&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9 &#40;47&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">TTN&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">AA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">25 &#40;58&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3 &#40;27&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9 &#40;47&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">GG&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2 &#40;4&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3 &#40;27&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2 &#40;10&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">AG&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">16 &#40;37&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5 &#40;45&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">8 &#40;42&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">SOX15&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">TT&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">27 &#40;62&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4 &#40;36&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">12 &#40;63&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">GG&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2 &#40;4&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3 &#40;27&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2 &#40;10&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">TG&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">14&#40;32&#46;6&#41;&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4 &#40;36&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5 &#40;26&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">IGF2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">GG&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">13 &#40;30&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5 &#40;45&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">10 &#40;52&#46;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">CC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">7 &#40;16&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3 &#40;27&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3 &#40;15&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">GC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">23 &#40;53&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">3 &#40;27&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6 &#40;31&#46;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">CCL2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">GG&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">17 &#40;39&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6 &#40;54&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9 &#40;47&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">CC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5 &#40;11&#46;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5 &#40;45&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2 &#40;10&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">GC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">21 &#40;48&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">8 &#40;42&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">TNC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">AA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">13 &#40;30&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5 &#40;45&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">8 &#40;42&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">TT&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">8 &#40;18&#46;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2 &#40;18&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5 &#40;26&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">AT&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">22 &#40;51&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4 &#40;36&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6 &#40;31&#46;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">COL1A1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">GG&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">31 &#40;72&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9 &#40;81&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">12&#40;63&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">AA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2 &#40;4&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">GA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">10 &#40;23&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2 &#40;18&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">7 &#40;36&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">COL5A1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">CC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">10 &#40;23&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">9 &#40;81&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">6 &#40;31&#46;6&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;0001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">TC&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">32 &#40;76&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2 &#40;18&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">13 &#40;68&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">TT&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab924974.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Genotypic frequencies observed in the present study&#46; Data were similar to those observed in NCBI dbSNP for European &#40;HapMap CEU&#41;&#44; Black African &#40;HapMap YRI&#41; and Hispanic &#40;HISP1&#41; populations&#46;</p>"
        ]
      ]
      3 => array:7 [
        "identificador" => "tbl0020"
        "etiqueta" => "Table 4"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:2 [
          "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Italics&#58; <span class="elsevierStyleItalic">p</span>-value indicates that that the injury pattern differs according the genotype&#46;</p>"
          "tablatextoimagen" => array:4 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " colspan="7" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">&#40;A&#41;</th></tr><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col">Gene&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col">Genotype&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Muscle injuries</th><th class="td" title="table-head  " align="left" valign="top" scope="col"><span class="elsevierStyleItalic">p</span>-Value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Mild&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Moderate&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Severe&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Total&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">IGF2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">CC &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">10 &#40;58&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">5 &#40;29&#46;4&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2 &#40;11&#46;8&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">17 &#40;16&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;059&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">GC&#47;GG &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>36&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">56 &#40;65&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">29 &#40;33&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1 &#40;1&#46;2&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">86 &#40;83&#46;5&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab924970.png"
              ]
            ]
            1 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col">Gene&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col">Genotype&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Ligament injuries</th><th class="td" title="table-head  " align="left" valign="top" scope="col"><span class="elsevierStyleItalic">p</span>-Value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col">Mild&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col">Moderate&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col">Severe&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col">Total&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">ELN&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">GG &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2 &#40;100&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2 &#40;13&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top"><span class="elsevierStyleItalic">0&#46;001</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">AG&#47;AA &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>34&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">10 &#40;76&#46;9&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3 &#40;23&#46;1&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">13 &#40;86&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab924972.png"
              ]
            ]
            2 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col">Gene&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col">Genotype&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " colspan="4" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Tendon injuries</th><th class="td" title="table-head  " align="left" valign="top" scope="col"><span class="elsevierStyleItalic">p</span>-Value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Mild&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Moderate&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Severe&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Total&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">ELN&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">GG &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1 &#40;100&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1 &#40;16&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleItalic">0&#46;05</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">AG&#47;AA &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>34&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">4 &#40;80&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1 &#40;20&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">5 &#40;83&#46;3&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="left" valign="top">IGF2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">GG &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>13&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1 &#40;100&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1 &#40;16&#46;7&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top"><span class="elsevierStyleItalic">0&#46;05</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">GC&#47;CC &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>30&#41;&nbsp;\t\t\t\t\t\t\n
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          "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Injury pattern among Whites &#40;A&#41; and Hispanics &#40;B&#41; according to genotype&#46; No differences according to genotype were observed among the Black African population &#40;see supplementary files&#41;&#46;</p>"
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        "texto" => array:1 [
          "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">New findings</span><p id="par0140" class="elsevierStylePara elsevierViewall">SNPs study constitutes a new field of investigation in Sports Medicine which will help us to identify individuals with shorter recovery and those with greater risk of injury&#46; Individuals from different ethnic groups have different genotypes and injury patterns but further studies are required to correlate these genetic differences with type and degree of injury and to determine which allele might confer greater protection against serious injury in members of each ethnic group&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Future impact</span><p id="par0145" class="elsevierStylePara elsevierViewall">The genetic profile based on the SNPs can be used to describe&#44; as objectively as possible&#44; each individual&#39;s injuribility risk&#46; Our results can pave the way for the identification of a genetic profile based on SNPs that could determine the risk of injuribility for each individual&#44; leading to an improved selection process and individualized treatment and preventive care options&#46;</p></span></span>"
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      "titulo" => "References"
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                      ]
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                  ]
                  "host" => array:1 [
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            1 => array:3 [
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                      "titulo" => "Injury incidence and injury patterns in professional football&#58; the UEFA injury study"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
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                            0 => "J&#46; Ekstrand"
                            1 => "M&#46; H&#228;gglund"
                            2 => "M&#46; Wald&#233;n"
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                      "doi" => "10.1136/bjsm.2009.060582"
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                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Hamstring muscle injuries in professional football&#58; the correlation of MRI findings with return to play"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
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                            0 => "J&#46; Ekstrand"
                            1 => "J&#46;C&#46; Healy"
                            2 => "M&#46; Wald&#233;n"
                            3 => "J&#46;C&#46; Lee"
                            4 => "B&#46; English"
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                        ]
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                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1136/bjsports-2011-090155"
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            3 => array:3 [
              "identificador" => "bib0020"
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                  "contribucion" => array:1 [
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                      "titulo" => "Ankle impingement syndromes a review of etiology and related implications"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
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                            0 => "G&#46;W&#46; Hess"
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                    ]
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                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1177/1938640011412944"
                      "Revista" => array:6 [
                        "tituloSerie" => "Foot Ankle Spec"
                        "fecha" => "2011"
                        "volumen" => "4"
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                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/21926368"
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              "identificador" => "bib0025"
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                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Sequence variants within the 3&#8242;-UTR of the <span class="elsevierStyleItalic">COL5A1</span> gene alters mRNA stability&#58; implications for musculoskeletal soft tissue injuries"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:4 [
                            0 => "M&#46;-J&#46; Laguette"
                            1 => "Y&#46; Abrahams"
                            2 => "S&#46; Prince"
                            3 => "M&#46; Collins"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1016/j.matbio.2011.05.001"
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                        "tituloSerie" => "Matrix Biol"
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                          "etal" => false
                          "autores" => array:3 [
                            0 => "G&#46; Lippi"
                            1 => "U&#46;G&#46; Longo"
                            2 => "N&#46; Maffulli"
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                  ]
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                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Genetic aspects of tendinopathy"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
                          "autores" => array:2 [
                            0 => "M&#46; Magra"
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                        ]
                      ]
                    ]
                  ]
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                    0 => array:2 [
                      "doi" => "10.1016/j.jsams.2007.04.007"
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                        "tituloSerie" => "J Sci Med Sport"
                        "fecha" => "2008"
                        "volumen" => "11"
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                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/17870670"
                            "web" => "Medline"
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              "identificador" => "bib0040"
              "etiqueta" => "8"
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                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Review of exercise-induced muscle injury&#58; relevance for athletic populations"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => false
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                            0 => "M&#46;J&#46; Falvo"
                            1 => "R&#46;J&#46; Bloomer"
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                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1080/15438620500528380"
                      "Revista" => array:6 [
                        "tituloSerie" => "Res Sports Med"
                        "fecha" => "2006"
                        "volumen" => "14"
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                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/16700405"
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                          ]
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                      "titulo" => "CCL2 and CCR2 variants are associated with skeletal muscle strength and change in strength with resistance training"
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                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "B&#46;T&#46; Harmon"
                            1 => "E&#46;F&#46; Orkunoglu-Suer"
                            2 => "K&#46; Adham"
                            3 => "J&#46;S&#46; Larkin"
                            4 => "H&#46; Gordish-Dressman"
                            5 => "P&#46;M&#46; Clarkson"
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                        ]
                      ]
                    ]
                  ]
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                    0 => array:2 [
                      "doi" => "10.1152/japplphysiol.00633.2010"
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                        "tituloSerie" => "J Appl Physiol"
                        "fecha" => "2010"
                        "volumen" => "109"
                        "paginaInicial" => "1779"
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                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Variants within the COL5A1 gene are associated with Achilles tendinopathy in two populations"
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                        0 => array:2 [
                          "etal" => false
                          "autores" => array:6 [
                            0 => "A&#46;V&#46; September"
                            1 => "J&#46; Cook"
                            2 => "C&#46;J&#46; Handley"
                            3 => "L&#46; van der Merwe"
                            4 => "M&#46;P&#46; Schwellnus"
                            5 => "M&#46; Collins"
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                        ]
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                    ]
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                    0 => array:2 [
                      "doi" => "10.1136/bjsm.2008.048793"
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                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/18443036"
                            "web" => "Medline"
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        "texto" => "<p id="par0155" class="elsevierStylePara elsevierViewall">This study was funded in part by a grant the <span class="elsevierStyleGrantSponsor" id="gs0005">UEFA Research Grant Programme Application</span> &#40;2012&#41;&#46; The authors thank Dr Mariano Monzo&#44; chair of the Unit of Human Anatomy and Embryology&#44; University of Barcelona School of Medicine for his constant support and Aureli Altimira for providing data on work load&#46; RA&#44; RP and JR designed the study&#44; interpreted the results and wrote the manuscript&#46; BM performed the statistical analyses&#46; RA was responsible for technical aspects of the study and approved the final version of the manuscript&#46;</p>"
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Article information

ISSN: 23870206
Original language: English

DOI:10.1016/j.medcle.2013.09.003

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