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Vol. 83. Núm. 1.
Páginas 35-42 (enero - febrero 2015)
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Vol. 83. Núm. 1.
Páginas 35-42 (enero - febrero 2015)
ORIGINAL ARTICLE
Open Access
Association analysis of SNP-63 and indel-19 variant in the calpain-10 gene with polycystic ovary syndrome in women of reproductive age1
Análisis de asociación del SNP-63 y la variante indel-19 del gen de calpaína-10 con síndrome de ovario poliquístico en mujeres en edad reproductiva
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Silvia Esperanza Flores-Martíneza, Anna Gabriela Castro-Martíneza, Andrés López-Quinteroa, Alejandra Guadalupe García-Zapiénb, Ruth Noemí Torres-Rodrígueza, José Sánchez-Coronaa,
Autor para correspondencia
jose.sanchezco@imss.gob.mx

Corresponding author. División de Medicina Molecular, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del Seguro Social. Sierra Mojada 800, Colonia Independencia. C.P. 44340, Guadalajara, Jalisco, México. Tel.:éfono: (33) 36189410.
a División de Medicina Molecular, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del Seguro Social, Guadalajara, Jalisco, México
b Departamento de Farmacobiología, Centro Universitario de Ciencias Exactas e Ingenierías, Universidad de Guadalajara, Guadalajara, Jalisco, México
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Table 1. Revised Rotterdam ESHRE/ASRM 2003 criteria, accompanied by CPG CIE-10: E28.
Table 2. Abordaje metodológico para la identificación de las dos variantes del gen CAPN10.
Table 3. Distribución de alelos y genotipos del SNP-63 y la variante indel-19 en las pacientes con síndrome de ovario poliquístico y las mujeres del grupo control.
Table 4. Distribución de haplotipos y diplotipos del SNP-63 y la variante indel-19 en pacientes con síndrome de ovario poliquístico y controles.
Table 5. Frecuencias alélicas de la variante indel-19 y el SNP-63 del gen CAPN10 en diferentes poblaciones.
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Abstract
Background

Polycystic ovary syndrome is a complex and heterogeneous disease leading to reproductive, as well as metabolic problems. It has been suggested that there may be a genetic predisposition in the aetiology of polycystic ovary syndrome. The identification of calpain 10 gene (CAPN10) as the first candidate gene for type 2 diabetes mellitus has focused the interest in investigating their possible connection with the polycystic ovary syndrome. This syndrome is associated with hyperinsulinaemia and insulin resistance, two metabolic abnormalities associated with type 2 diabetes mellitus.

Objective

To investigate if there is association between the SNP-63 and the genetic variant indel-19 of CAPN10 gene and polycystic ovary syndrome in women of reproductive age.

Material and methods

This study included 101 women (55 with polycystic ovary syndrome and 46 without polycystic ovary syndrome). The genetic variant indel-19 was identified by electrophoresis of the amplified fragments by PCR, and the SNP-63 by PCR-RFLP.

Results

The allele and genotype frequencies of the two variants do not differ significantly between women with polycystic ovary syndrome and the control women group. The haplotype 21 (defined by the insertion allele of indel-19 variant and C allele of SNP-63) was found with higher frequency in both study groups, being more frequent in the polycystic ovary syndrome patients group, however, this difference was not statistically significant.

Conclusions

The results suggest that SNP-63 and indel-19 variant of CAPN10 gene do not represent a risk factor for polycystic ovary syndrome in our patient group.

Keywords:
CAPN10 variants
Haplotypes
Polycystic ovary
syndrome
Resumen
Antecedentes

El síndrome de ovario poliquístico es una enfermedad compleja y heterogénea que implica problemas reproductivos y metabólicos. Se ha sugerido una predisposición genética en la etiología de este síndrome. La identificación del gen de la calpaína-10 (CAPN10) como el primer gen asociado a diabetes mellitus tipo 2 suscitó el interés por investigar su posible relación con el síndrome de ovario poliquístico, debido a que este síndrome se asocia a hiperinsulinemia y resistencia a la insulina, 2 anormalidades metabólicas relacionadas con diabetes.

Objetivo

Investigar si existe asociación entre el SNP-63 y la variante indel-19 del gen CAPN10 y el síndrome de ovario poliquístico en mujeres en edad reproductiva.

Material y métodos: El estudio incluyó a 101 mujeres (55 con síndrome de ovario poliquístico y 46 clínicamente sanas). La variante indel-19 se identificó mediante corrimiento electroforético de los fragmentos amplificados por PCR y el SNP-63 por PCR-RFLP.

Resultados

Las frecuencias alélicas y genotípicas de las 2 variantes no difieren significativamente entre pacientes con síndrome de ovario poliquístico y mujeres del grupo control. El haplotipo 21 (definido por el alelo inserción de la variante indel-19 y el alelo C del SNP-63) se encontró con mayor frecuencia en los 2 grupos de estudio, siendo más frecuente en el grupo de pacientes; sin embargo, esta diferencia no fue estadísticamente significativa (p = 0.8353).

Conclusiones

Los resultados sugieren que el SNP-63 y la variante indel-19 del gen CAPN10 no son factores de riesgo para síndrome de ovario poliquístico en nuestro grupo de pacientes.

Palabras clave:
Gen CAPN10
Haplotipos
Síndrome de ovario poliquístico
Texto completo
Background

Polycystic ovary syndrome is a heterogeneous endocrine disorder, considered to be the most common cause of anovulation, hyperandrogenism and infertility in women of childbearing age1. Other major clinical characteristics of polycystic ovary syndrome also include obesity (mainly in the upper segment) and metabolic abnormalities, such as hyperinsulinaemia and insulin resistance, which is a risk factor for developing type 2 diabetes mellitus and cardiovascular disease2,3.

The prevalence of polycystic ovary syndrome in different populations is 3-7% in women of childbearing age and 60-80% in women with hyperandrogenism4. In Mexico, a prevalence of 6% has been reported5.

The physiopathology of polycystic ovary syndrome is complex. However, the 2 main hormonal changes observed in patients with polycystic ovary syndrome include increased circulating levels of the luteinising hormone and insulin (hyperinsulinaemia); in fact, it has been suggested that there is certain synergism between both, so ovarian hyperstimulation due to insulin would lead to hyperandrogenism2. Polycystic ovary syndrome has been considered a disorder with a genetic component in its aetiology, and this condition has been supported by pronounced familial aggregation and by the documentation of the fact that the degree of concordance is higher in monozygotic twins than in dizygotic twins2. The theories related to the inheritance mode of polycystic ovary syndrome include a multifactorial model where the interaction of environmental factors (nutrition and physical activity) and a group of causative genes (candidate susceptibility genes) contribute to its phenotypic variability6.

The association between polycystic ovary syndrome with insulin resistance and the risk of developing type 2 diabetes mellitus led to the assumption that the primary defect causing this syndrome was connected to one of the mediators of the insulin response metabolic pathway7. The identification of the calpain-10 gene (CAPN10) by Horikawa et al.8 in 2000 as the first gene related to type 2 diabetes mellitus triggered interest to investigate its possible relation with polycystic ovary syndrome, given the documented participation of the protein product of this gene in the insulin signalling pathway6,7,9–11.

Calpain-10 is a non-lysosomal cysteine-protease activated by calcium and an atypical calpain, since it lacks IV domain8,12. This calpain can be seen in different tissues, such as pancreatic islets, the skeletal muscle, the liver and adipocytes13. Although its specific function has not been fully described yet, it has been suggested that calpain-10 is an important molecule for the function of pancreatic β-cells, since it has been demonstrated to regulate the exocytosis of insulin secretory granules14,15. It has also been stated that calpain-10 facilitates the translocation of GLUT4 through a distal effect on the insulin action pathway. In addition, calpain-10 has also been involved in the reorganisation of the actin cytoskeleton related to both GLUT4 vesicle translocation and to insulin secretion14,16.

The CAPN10 gene is located in the distal region of the long arm of chromosome 2 (2q37.3) and it is 65,674 nucleotides long, which are distributed in 15 exons and 14 introns14,16. From the variants identified in the CAPN10 gene, those that stand out are an SNP located in intron 3, the SNP-43 (G>A; rs3792267), and another one located in intron 13, the SNP-63 (C>T; rs5030952), as well as an insertion/deletion of 32bp, referred to in the medical literature as SNP-19, found in intron 6 (indel-19 variant; rs3842570), since it has been described that, in an independent manner or as an haplotype, these contribute to the susceptibility to type 2 diabetes mellitus in several populations8,17. Some studies have focused on the relation between polycystic ovary syndrome and the variants in CAPN101,6,9–11,18–24; nevertheless, the influence of genetic variations on the susceptibility to develop multifactorial pathologies, such as polycystic ovary syndrome, seems to vary among populations. Thus, the objective of this study was to analyse the distribution of alleles and genotypes of two of the most common variants of the CAPN10 gene (the SNP-63 and the indel-19 variant) in patients with polycystic ovary syndrome and in women without polycystic ovary syndrome, so as to determine if there is a relation between this syndrome and the two variants in women of childbearing age.

Material and methods

The study involved a total of 101 women (55 diagnosed with polycystic ovary syndrome and 46 without polycystic ovary syndrome), all of whom were of childbearing age (18-38 years) and not related to each other. The sample sizes for the 2 study groups (55 and 46) are above the minimum (36 subjects) for a biallelic polymorphism system (α 0.05; p = 0.05), according to Chakraborty25.

All the women included in the study were of mixed race and lived in the state of Jalisco. Prior to signing the Informed consent form for study participation, women who accepted to participate were informed about the purpose, the benefits and the procedures of the project. The study protocol was conducted pursuant to the Declaration of Helsinki and authorised by the Local Ethics and Research Committee of the Instituto Mexicano del Seguro Social (N. 2005/1/I/064).

Patients with polycystic ovary syndrome were subsequently recruited in the Fertility and Endocrinology departments of the Highly Specialised Medical Unit of the Gynaecology and Obstetrics Hospital of the National Medical Centre of the West of the Mexican Social Security Institute. Polycystic ovary syndrome was diagnosed in accordance with the Rotterdam ASRM/ESHRE consensus criteria, revised in 200326, accompanied by the comprehensive management of polycystic ovary syndrome (clinical practice guideline, CIE-10:E28, Mexican Social Security Institute)27 (Table 1). Out of 55 patients with polycystic ovary syndrome, 44 were overweight (body mass index > 25) and 11 suffered from obesity (body mass index ≥ 30).

Table 1.

Revised Rotterdam ESHRE/ASRM 2003 criteria, accompanied by CPG CIE-10: E28.

Diagnostic criteria (2 out of 3 criteria)     
1. Oligo and/or anovulation  History of 8 or less menstrual cycles within a year or menstrual cycles shorter than 26 days or longer than 35 days and P4 < 4 ng/ml   
2. Signs of hyperandrogenism  Clinical  HirsurtismaAcneAlopecia - male pattern 
  Biochemical  Total testosterone > 84.7 ng/dlFree testosterone > 0.75 ng/dlFree testosterone/androgen indexDHEADHEAS > 2,459 ng/mlLH/FSH relation > 2Lower levels of sexual-steroid transporting globulin 
3. Polycystic ovaries  Presence of 12 or more follicles in each ovary with a diameter from 2 to 9 mm and/or increased ovarian volume > 10 mm (ultrasound assessment)   
Exclusion of other pathologiesb     
Syndromes of severe insulin resistance  Cushing's syndromeHAIRANAndrogen secreting neoplasm   
Congenital adrenal hyperplasia  Deficiency of 21 hydroxylase (17 hydroxyprogesterone 2-3 ng/ml)   
Androgen secreting tumours  Sertoli-Leydig tumours, adrenal adenomas   
Hyperprolactinaemia  Increased levels of prolactin   
Hypogonadotropic hypogonadism  Low serum levels of FSH and reduced E2 levels   
Premature ovarian failure  Increased serum levels of FSH and reduced E2 levels   
Complementary studies for the assessment of comorbidities     
Fasting lipid profile     
Fasting serum glucose     
Fasting serum insulin     
Glucose/insulin ratio < 4.5 indicates insulin resistance     

DHEA: dehydroepiandrosterone; DHEAS: dehydroepiandrosterone sulphate; E2: estradiol; FSH: follicle-stimulating hormone; HAIRAN: hyperandrogenism, insulin resistance and acanthosis nigricans syndrome; LH/FSH: luteinising hormone/follicle-stimulating hormone ratio; P4: progesterone.

a Assessed using a standardised scoring system (Ferriman-Gallwey).

b The exclusion of other pathologies is part of the initial assessment. Revised Rotterdam ESHRE/ASRM 2003 criteria26. Comprehensive management of polycystic ovary syndrome27.

The women from the control group were randomly selected and had regular menstrual cycles between 21-28 days, with a body mass index < 25 and without personal or family history of polycystic ovary syndrome. They visited the hospital for a general medical examination.

The study did not include pregnant women or women under anovulatory, antiandrogen or corticosteroid therapy. Confusion variables, such as physical activity and diet, were not taken into account for this study.

Genotypification

The genomic DNA was obtained from peripheral blood leukocytes, according to a slightly modified standard protocol28, and it was stored in Tris-EDTA buffer with pH 8.0, at –20°C until its processing.

To identify the SNP-63 (C16378T), a fragment of 192 bp was amplified and subjected to digestion with 2 U of the restriction enzyme HhaI at 37°C, according to the manufacturer's instructions (New England Biolabs, Ipswich, US). This resulted in 1 fragment of 192 bp in the presence of the T allele and 2 fragments, one of 162 bp and another one of 30 bp, in the presence of the C allele29. To identify the indel-19 variant, a fragment of 155 bp was amplified in the presence of deletion (3 repetitions of 32 bp, 2R allele), while a fragment of 187 bp was amplified in the presence of insertion (2 repetitions of 32 bp, 3R allele)29 (Table 2). The difference in base pairs of CRP products and enzyme digestion products was analysed in 6% polyacrylamide gel, dyed with silver nitrate (Fig. 1). As an internal quality control, reference genotype samples were selected for confirmation by capillary electrophoresis in an automatic sequencer - Beckman-Coulter, CEQ8800 model (California, US).

Table 2.

Abordaje metodológico para la identificación de las dos variantes del gen CAPN10.

Variante  Iniciadores  Fragmento amplificado  Enzima de restricción  Fragmentos esperados 
SNP-63  Sentido5’AAGGGGGGCCAGGGCCTGACGGGGGTGGCG3’Antisentido5’AGCACTCCCAGCTCCTGATC3’  192 pb  HhaIGCG^C  Alelo C 162 +30 pbAlelo T 192 pb 
Indel-19inserción/deleción de 32 pb  Sentido5’GTTTGGTTCTCTTCAGCGTGGAG3Antisentido5’CATGAACCCTGGCAGGGTCTAAG3’  155 pb187 pb  –  Alelo Ins 187 pbAlelo Del 155 pb 

pb: pares de bases.

Fig. 1.

A) Genotypification of the indel-19 variant. CRP products separated in 6% polyacrylamide gel, dyed with silver nitrate. M: molecular weight marker (DNA ladder of 50 bp). Lanes 1 and 3 homozygous Ins/Ins (fragment of 187 bp); lanes 2 and 5 heterozygous Ins/Del (fragments of 187 bp and 155 bp); lane 4 homozygous Del/Del (fragment of 155 bp). B) Genotypification of SNP-63. CRP products digested with the Hha1 enzyme, separated in 6% polyacrylamide gel, dyed with silver nitrate. M: molecular weight marker (DNA ladder of 50 bp). Lanes 3 and 6 homozygous C/C (fragment of 162 bp); lanes 1, 4 and 7 heterozygous C/T (fragments of 192 bp and 162 bp); lanes 2 and 5 homozygous T/T (fragment of 192 bp).

(0.18MB).

The haplotypes formed by 2 polymorphisms of the CAPN10 gene were inferred considering the indel-19 variant in the first position and SNP-63 in the second position. This results in 4 possible haplotypes: haplotype 11 (deletion allele of the indel-19 variant, C allele of the SNP-63), haplotype 12 (deletion allele of the indel-19 variant, T allele of the SNP-63), haplotype 21 (insertion allele of the indel-19 variant, C allele of the SNP-63) and haplotype 22 (insertion allele of the indel-19 variant, T allele of the SNP-63).

Statistical analysis

The allelic frequencies of the 2 variants of the CAPN10 gene were determined using the direct counting method of observed genotypes and were presented as simple frequencies.

The comparison between allelic, genotypic and haplotype frequencies of the indel-19 variant and SNP-63 among patients with polycystic ovary syndrome and women from the control group, as well as the Hardy-Weinberg balance determination, were conducted using the chi-square test (X2). The result was considered statistically significant if the probability value was lower than 0.05.

The data analysis was performed using the statistical programme RxC with 10,000 iterations30. The programme HaplotypeReconstructor_v0.6 was used to infer haplotypes.

Results

The average age of women from the control group was 26 years, and 80% of these women had menstrual cycles from 25 to 28 days. On the other hand, in patients with polycystic ovary syndrome, the average age was 29 years, and 88% of them had menstrual cycles from 30 to 60 days.

Table 3 shows the distribution of alleles and genotypes of SNP-63 and the indel-19 variant in patients with polycystic ovary syndrome and women from the control group. The distribution of observed genotypes of the 2 variants was in accordance with the expected results from the Hardy-Weinberg balance determination (p > 0.05). The genotypic frequencies of the indel-19 variant and SNP-63 show no significant differences among the group of patients with polycystic ovary syndrome and women from the control group (p = 0.7240 and p = 0.6793, respectively). The analysis of allelic frequencies showed that the insertion allele of the indel-19 variant and the C allele of the SNP-63 were more frequent in the group of patients with polycystic ovary syndrome compared to the control group. Nevertheless, this difference was not statistically significant (p = 0.5587 and p = 0.5671, respectively).

Table 3.

Distribución de alelos y genotipos del SNP-63 y la variante indel-19 en las pacientes con síndrome de ovario poliquístico y las mujeres del grupo control.

Polimorfismo    Pacientes con SOP n (%)  Controles n (%)  Valor de p  OR, IC del 95%   
Indel-19  Genotipo  Ins/Ins  21 (38)  16 (35)  0.7240  0.831 
    Del/Ins  27 (49)  22 (48)     
    Del/Del  7 (13)  8 (17)     
  Alelo  Ins  69 (63)  54 (59)  0.5587  – 
    Del  41 (37)  38 (41)     
SNP-63  Genotipo  C/C  38 (69)  30 (65)  0.6793  0.821 
    C/T  17 (37)  15 (33)     
    T/T  0 (0)  1 (2)     
  Alelo  93 (85)  75 (82)  0.5671  – 
    17 (15)  17 (18)     

Del: deleción; n: número de sujetos de estudio (genotipo) o cromosomas (alelo); Ins: inserción; SOP: síndrome de ovario poliquístico.

The 4 possible haplotypes were observed in the study population. The combination 21 (insertion allele of the indel-19 variant, C allele of the SNP-63) and the haplodiplotype 21/21 were more frequent in the 2 study groups (Table 4). However, when comparing the observed frequencies of the total haplotypes and haplodiplotypes between the group of patients with polycystic ovary syndrome and the control group, there were no statistically significant differences (p = 0.8353 and p = 0.8231, respectively).

Table 4.

Distribución de haplotipos y diplotipos del SNP-63 y la variante indel-19 en pacientes con síndrome de ovario poliquístico y controles.

    Pacientes con SOP n = 110a    Grupo control n = 92a   
    (%)  (%)   
Haplotipos  21  68  (62)  54  (59)  0.8353 
  22  25  (23)  21  (23)   
  11  16  (15)  17  (18)   
  12  (1)  (0)   
             
    n = 55  n = 46       
Diplotipos  21/21  20  (36)  16  (35)  0.8231 
  21/22  15  (27)  13  (28)   
  21/11  12  (22)  (20)   
  21/12  (2)  (0)   
  22/22  (5)  (2)   
  22/11  (7)  (13)   
  11/11  (0)  (2)   

SOP: síndrome de ovario poliquístico.

n: número de individuos; SOP: síndrome de ovario poliquístico.

a n: número de cromosomas.

In addition, the allelic frequencies of the indel-19 variant and SNP-63 observed in the studied population were compared with the frequencies described in other studies conducted in populations from America (Chile and Brazil), Asia (China, Korea, India and Turkey) and Europe (Germany, Spain and England) (Table 5).

Table 5.

Frecuencias alélicas de la variante indel-19 y el SNP-63 del gen CAPN10 en diferentes poblaciones.

      Ins/Del-19  SNP-63             
Continente  Población de estudio  Control/SOP  Alelo Ins    Alelo Del    Alelo C    Alelo T   
      Control  SOP  Control  SOP  Control  SOP  Control  SOP 
América  Presente estudioa*  46/55  0.59  0.63  0.41  0.37  0.82  0.85  0.18  0.15 
  Chilenos20  70/50  0.59  0.61  0.41  0.39  0.81  0.79  0.19  0.21 
  Brasileños21  59  ND  0.37*  ND  0.63*  ND  0.87  ND  0.13 
Asia  Hindúes1  298/248  0.45*  0.54  0.55*  0.46  0.95*  0.95*  0.05*  0.05* 
  Turquía18  50/44  0.56  0.55  0.44  0.45  0.86  0.92  0.14  0.08 
Europa  Inglaterra9  525/185  0.61  0.59  0.39  0.41  0.92*  0.92*  0.08*  0.08* 
  Españoles6  92/55  0.65  0.53  0.35  0.47  0.92*  0.88  0.08*  0.12 

ND: no disponible; SOP: síndrome de ovario poliquístico.

a Grupo de referencia.

* p < 0.05.

Discussion

The association between polycystic ovary syndrome with insulin resistance and the risk for developing type 2 diabetes mellitus has been described. This study was conducted to assess the possible association between this syndrome and 2 polymorphisms of the CAPN10 gene (indel-19 variant and SNP-63) involved in the risk haplotype (121) for type 2 diabetes mellitus in Mexican-Americans8. It was found that the distribution of alleles and genotypes was similar in patients with polycystic ovary syndrome and women without polycystic ovary syndrome, which makes it possible to suggest that, in our group of patients, the indel-19 variant and SNP-63 do not represent a risk factor for developing polycystic ovary syndrome. This finding is in accordance with the results from 2 previous studies, one conducted in England9 and the other in Turkey18, where, apart from analysing SNP-63 and the indel-19 variant, 2 other variants of the CAPN10 gene were analysed (SNP-44 and SNP-43), and none of the 4 variants was associated with polycystic ovary syndrome. Though there are several studies that show the involvement of variants in the CAPN10 gene in the development of the polycystic ovary syndrome, the association is not always made with the same variant, given that, for instance, in German women, this syndrome was associated with SNP-5611; in women from Spain6, Turkey19 and India1, it was associated with SNP-44. Furthermore, in 2 populations of Latin America, Chile20 and Brazil21, the syndrome was associated with SNP-43.

There are relatively few studies that investigated the relation between polycystic ovary syndrome and the haplotypes of the CAPN10 gene. In a study conducted in German women, in which 8 variants of the CAPN10 gene were analysed (including indel-19 and SNP-63), it was found that haplotype TGA2AGCA represents a higher risk for polycystic ovary syndrome11. In women from India, where 5 variants were analysed (also including indel-19 and SNP-63), there was a significant association with haplotype 211211. In Spanish women, where 4 variants were analysed (SNP-44, SNP-43, indel-19 and SNP-43), haplotype 1121 was associated with hypercholesterolemia in patients with polycystic ovary syndrome10. In Korean women, where only 3 variants were analysed (SNP-43, indel-19 and SNP-63), there was an association between polycystic ovary syndrome and haplotype 11122. In this study, since only 2 variants were analysed, the most frequent haplotype in patients with polycystic ovary syndrome was haplotype 21 (insertion allele of the indel-19 variant, C allele of SNP-63), which is partially similar to haplotype 121 described by Horikawa et al. in the Mexican-American population8. Nevertheless, no statistically significant value was obtained when comparing haplotype frequencies with the control group, so its possible association with polycystic ovary syndrome was discarded in our group of patients studied. Therefore, it is necessary to analyse other variants in the CAPN10 gene to investigate the contribution of an extended haplotype to the development of this syndrome.

Although our results suggest the lack of involvement in the development of polycystic ovary syndrome of the indel-19 variant and SNP-63 of the CAPN10 gene, both in an individual manner and as haplotype, this study is particularly important given that, to the best of our knowledge, it is the first study that investigates the possible association of variants of the CAPN10 gene and haplotypes to polycystic ovary syndrome in the Mexican population.

The comparative analysis of allelic frequencies among the different populations demonstrated that allelic frequencies of the indel-19 variant in our group of patients with polycystic ovary syndrome were different from those found in patients with polycystic ovary syndrome of the Brazilian population21. Moreover, there were differences among the frequencies of our control group and the control group of the Indian population1. In relation to the SNP-63, there were also differences when comparing the observed allelic frequencies, both in our group of patients with polycystic ovary syndrome and in our control group, with the frequencies reported in India1. There were also differences with the frequencies reported in the study conducted in England9 and the study conducted on the Spanish population, but in the latter, differences were only found among control groups6. Differences found in England and India may be due to the little or almost no documented migration of the English and Indians to Mexico. The analysis of several genetic polymorphisms in European and American populations, including Brazil, has shown that there is a variation in the genetic structure of different populations, possibly as a result of the various interethnic combinations31–34. Our results suggest that the Mexican mixed race population has particular genetic characteristics which make it different from other populations around the world.

The genetic factors involved in polycystic ovary syndrome and its various expressions could explain the phenotypic variation in the clinical presentation of the syndrome, which is physiologically heterogeneous and controversial for genetic determinants, given that each population has shown different results even when analysing the same polymorphism. The ethnic differences among study subjects seem to be contributing to these differences.

Therefore, due to the multifactorial aetiology of polycystic ovary syndrome, the combination of all the genetic risk factors should be considered the molecular mechanism of this syndrome, as the effect of only one gene is not enough to favour the development of the endocrine-metabolic imbalance presented by patients, together with triggering environmental factors that contribute to the onset of the syndrome.

Conclusions

The allelic, genotypic and haplotype distribution of the indel-19 variant and SNP-63 does not vary significantly among patients with polycystic ovary syndrome and women from the control group. Thus, these findings suggest that these 2 variants of the CAPN10 gene do not represent a risk factor for polycystic ovary syndrome, so they cannot be used in the clinical practice as genetic risk markers in the studied population. The population analysis showed that there are differences between the Brazilian, Spanish, English and Indian population, which indicate that frequencies of the variants of the CAPN10 gene are heterogeneous among different populations.

Conflict of interest

The authors declare that there are no conflicts of interest.

Acknowledgements

This work was partially supported by the Health Investigation Fund of Instituto Mexicano del Seguro Social, registered under 2005/1/I/064. We would like to thank Dr. Sergio Alberto Sánchez Walle for his support in the recruitment of women that participated in the study.

References
[1]
S. Dasgupta, P.V. Sirisha, K. Neelaveni, K. Anuradha, B.M. Reddy.
Association of CAPN10 SNPs and haplotypes with polycystic ovary syndrome among south indian women.
[2]
C. Moran, M. Hernández, M. Cavioto, L.H. Porias, J. Malaca, J.A. Bermúdez.
Síndrome de ovario poliquístico.
Posición de la -Sociedad Mexicana de Nutrición y Endocrinología. Rev Endocrinol Nutrición., 14 (2006), pp. 7-12
[3]
P.M. Spritzer.
Polycystic ovary syndrome: Reviewing diagnosis and management of metabolic disturbances.
Arq Bras Endocrinol Metabol., 58 (2014), pp. 182-187
[4]
R. Azziz, K.S. Woods, R. Reyna, T.J. Key, E.S. Knochenhauer, B.O. Yildiz.
The prevalence and features of the polycystic ovary syndrome in an unselected population.
J Clin Endocr Metab, 89 (2004), pp. 2745-2749
[5]
C. Moran, G. Tena, S. Moran, P. Ruiz, R. Reyna, X. Duque.
Prevalence of polycystic ovary syndrome and related disorders in mexican women.
Gynecol Obstet Invest., 69 (2010), pp. 274-280
[6]
A. Gonzalez, E. Abril, A. Roca, M.J. Aragón, M.J. Figueroa, P. Velarde, et al.
Comment: CAPN10 alleles are associated with -polycystic ovary syndrome.
J Clin Endocrinol Metab., 87 (2002), pp. 3971-3976
[7]
D.A. Ehrmann, P.E.H. Schwarz, M. Hara, X. Tang, Y. Horikawa, J. Imperial, et al.
Relationship of calpain-10 genotype to phenotypic features of polycystic ovary syndrome.
J Clin Endocrinol Metab., 87 (2002), pp. 1669-1673
[8]
Y. Horikawa, N. Oda, N.J. Cox, X. Li, M. Orho-Melander, M. Hara, et al.
Genetic variation in the gene encoding calpain-10 is associated with type 2 diabetes mellitus.
Nat Genet., 26 (2000), pp. 163-175
[9]
L. Haddad, J.C. Evans, N. Gharani, C. Robertson, K. Rush, S. Wiltshire, et al.
Variation within the type 2 diabetes susceptibility gene calpain-10 and polycystic ovary syndrome.
J Clin Endocrinol Metab., 87 (2002), pp. 2606-2610
[10]
A. Gonzalez, E. Abril, A. Roca, M.J. Aragón, M.J. Figueroa, P. Velarde, et al.
Specific CAPN10 gene haplotypes influence the clinical profile of polycystic ovary patients.
J Clin Endocrinol Metab., 88 (2003), pp. 5529-5536
[11]
C. Vollmert, S. Hahn, C. Lamina, C. Huth, M. Kolz, A. Schöpfer-Wendels, et al.
Calpain-10 variants and haplotypes are associated with polycystic ovary syndrome in caucasians.
Am J Physiol -Endocrinol Metab., 292 (2007), pp. E836-E844
[12]
Suzuki K, Hata S, Kawabata Y, Sorimachi H. Structure, activation, and biology of calpain. Diabetes. 2004; 53 (Suppl 1):S12-18.
[13]
I. Ezzidi, A. Turki, S. Messaoudi, M. Chaieb, M. Kacem, G.M. Al-Khateeb, et al.
Common polymorphisms of calpain-10 and the risk of type 2 diabetes in a tunisian arab population: A case-control study.
BMC Med Genet., 11 (2010), pp. 75
[14]
M.D. Turner.
Coordinated control of both insulin secretion and insulin action through calpain-10-mediated regulation of exocytosis?.
Mol Genet Metab., 91 (2007), pp. 305-307
[15]
M. Ridderstråle, E. Nilsson.
Type 2 diabetes candidate gene CAPN10: First, but not last.
Curr Hypertens Rep., 10 (2008), pp. 19-24
[16]
B. Dong, R. Liu.
Characterization of endogenous and recombinant human calpain-10.
Biochimie., 90 (2008), pp. 1362-1371
[17]
Cox NJ, Hayes MG, Roe CA, Tsuchiya T, Bell GI. Linkage of calpain 10 to type 2 diabetes: The biological rationale. Diabetes. 2004; 53 (Suppl 1):S19-25.
[18]
T. Unsal, E. Konac, E. Yesilkaya, A. Yilmaz, A. Bideci, H. Ilke Onen, et al.
Genetic polymorphisms of FSHR, CYP17, CYP1A1, CAPN10, INSR.
SERPINE1 genes in adolescent girls with polycystic ovary syndrome. J Assist Reprod Genet., 26 (2009), pp. 205-216
[19]
M. Yilmaz, E. Yurtçu, H. Demirci, M.A. Ergün, R. Ersoy, A. Karakoç, et al.
Calpain 10 gene single-nucleotide 44 polymorphism may have an influence on clinical and metabolic features in patients with polycystic ovary syndrome.
J Endocrinol Invest., 32 (2009), pp. 13-17
[20]
J.L. Márquez, A. Pacheco, P. Valdés, L.A. Salazar.
Association -Between CAPN10 UCSNP-43 gene polymorphism and polycystic ovary syndrome in chilean women.
Clin Chim Acta., 398 (2008), pp. 5-9
[21]
D. Wiltgen, L. Furtado, M.B. Kohek, P.M. Spritzer.
CAPN10 UCSNP-43.
UCSNP-19 and UCSNP-63 polymorphisms and metabolic syndrome in polycystic ovary syndrome. Gynecol Endocrinol., 23 (2007), pp. 173-178
[22]
J.Y. Lee, W.J. Lee, S.E. Hur, C.M. Lee, Y.A.C. Sung, H.W. hung.
111/121 diplotype of calpain-10 is associated with the risk of polycystic ovary syndrome in korean women. Fertil Steril., 92 (2009), pp. 830-833
[23]
M. Haap, F. Machicao, N. Stefan, C. Thamer, O. Tschritter, F. Schnuck, et al.
Genetic determinants of insulin action in polycystic ovary syndrome.
Exp Clin Endocrinol Diabetes., 113 (2005), pp. 275-281
[24]
X.H. Diao, Y.H. Shi, Q. Gao, L.C. Wang, R. Tang, Z.J. Chen.
Relationship between single nucleotide polymorphism-56 of calpain-10 gene and glucose and lipid metabolism in polycystic ovary syndrome patients.
Zhonghua Fu Chan Ke Za Zhi., 43 (2008), pp. 106-109
[25]
R. Chakraborty.
Sample size requirements for addressing the population genetic issues of forensic use of DNA typing.
Hum Biol., 64 (1992), pp. 141-159
[26]
P.C.O.S. Rotterdam ESHRE/ASRM-Sponsored.
Consensus Workshop Group.
Revised 2003 Consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertil Steril., 81 (2004), pp. 19-25
[27]
Abordaje integral del síndrome de ovarios poliquísticos. México: Instituto Mexicano del Seguro Social, 2010. Guía de Práctica Clínica, CIE-10:E28 [consultado 10 Nov 2010]. -Disponible en: http://www.adamedfarma.es/wp-content/uploads/2014/03/1.pdf.
[28]
S. Gustincich, G. Manfioletti, G. del Sal, C. Schneider, P. Carninci.
A fast method for high quality genomic DNA extraction from whole human blood.
Biotecniques., 11 (1991), pp. 298-300
[29]
M. Orho-Melander, M. Klannemark, M.K. Svensson, M. Ridderstråle, C.M. Lindgren, L. Groop.
Variants in the calpain-10 gene predispose to insulin resistance and elevated free fatty acid levels.
Diabetes., 51 (2002), pp. 2658-2664
[30]
R x C a Windows(TM) Program for the Analysis of Contingency Tables via the Metropolis Algorithm [consultado 24 Jun 2012]. Disponible en: http://www.marksgeneticsoftware.net/_vti_bin/shtml.exe/rxc.htm.
[31]
P. Barros-Núñez, M.A. Rosales-Reynoso, L. Sandoval, P. Romero-Espinoza, R. Troyo-Sanromán, B. Ibarra.
Genetic Variation of the FMR1 gene among four mexican populations: Mestizo, huichol, purepecha, and tarahumara.
Am J Hum Biol., 20 (2008), pp. 259-263
[32]
M. Gómez, R.M. Clark, S.K. Nath, S. Bhatti, R. Sharma, E. Alonso, et al.
Genetic admixture of European FRDA Genes is the cause of Friedreich ataxia in the Mexican population.
Genomics., 84 (2004), pp. 779-784
[33]
P.A. Gaspar, M.H. Hutz, F.M. Salzano, K. Hill, A.M. Hurtado, M.L. Petzl-Erler, et al.
Polymorphisms of CYP1a1, CYP2e1, GSTM1.
GSTT1, and TP53 genes in Amerindians. Am J Phys Anthropol., 119 (2002), pp. 249-256
[34]
A.V. Contreras, T. Monge-Cazares, L. Alfaro-Ruiz, S. Hernandez-Morales, H. Miranda-Ortiz, K. Carrillo-Sanchez, et al.
Resequencing, haplotype construction and identification of novel variants of CYP2D6 in Mexican mestizos.
Pharmacogenomics., 12 (2011), pp. 745-756

Please cite this article as: Flores-Martínez S.E. et al. Análisis de asociación del SNP-63 y la variante indel-19 del gen de calpaína-10 con síndrome de ovario poliquístico en mujeres en edad reproductiva. Cirugía y Cirujanos. 2015; 83: 35-42.

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