Abstract
In this study, we explored whether polymorphisms in insulin receptor (INSR), adiponectin (ADIPOQ), parathyroid hormone (PTH), and vitamin D receptor (VDR) genes are associated with polycystic ovary syndrome (PCOS). A total of 362 subjects, including 181 women with PCOS and 181 controls were enrolled in this case-control study. Two SNPs (rs2059806 and rs1799817) in the INSR gene, two SNPs (rs2241766 and rs1501299) in the ADIPOQ gene, one SNP (rs6256) in the PTH gene, and one SNP (rs757343) in the VDR gene were analyzed using PCR-RFLP method. We observed no significant difference in genotype and allele frequencies between the women with PCOS and controls for the rs2059806, rs1799817, rs1501299, rs6256, and rs757343 polymorphisms either before or after adjustment for confounding factors including age and BMI. However, the ADIPOQ rs2241766 “TT” genotype compared with “TG and GG” genotypes was associated with a 1.93-fold increased risk for PCOS (P = 0.006, OR = 1.93, 95% CI = 1.20–3.11), and the differences remained significant after adjustment for age and BMI (P = 0.039, OR = 1.72, 95% CI = 1.03–2.86). Furthermore, the ADIPOQ rs2241766 “T” allele was significantly overrepresented in women with PCOS than controls (P = 0.006; OR = 1.80, 95% CI = 1.18–2.70), and the difference remained significant after Bonferroni correction. Our findings suggest that the ADIPOQ rs2241766 “TT” genotype is a marker of increased PCOS susceptibility. This study also indicates for the first time that there are no significant association between INSR rs2059806, PTH rs6256, and VDR rs757343 gene polymorphisms and PCOS risk. However, these data remain to be confirmed in larger studies and in other populations.
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Introduction
Polycystic ovary syndrome (PCOS) is a common endocrine disorder with a strong genetic background [1]. Insulin resistance and central obesity are prominent features of the syndrome [2, 3]. Previous epidemiologic studies have suggested that the genes involved in insulin signaling pathway are candidate genes for PCOS because as mentioned, the clinical and metabolic features of the syndrome include the increased risk of insulin resistance and obesity. In recent years, significant associations between insulin resistance and both adiponectin (ADIPOQ) [4] and insulin receptor (INSR) [5] gene variants have been found. Furthermore, the associations between the polymorphisms in INSR [6, 7] and ADIPOQ [4, 8–11] genes and PCOS risk have been examined in previous studies and the results were contradictory.
In addition to the genes related to insulin signaling pathway, it is possible that the genes involved in calcium homeostasis are associated with susceptibility to PCOS, because insulin secretion is a calcium-dependent process [12] and positive correlations between serum calcium concentration and both insulin levels and insulin resistance have been found [13]. Furthermore, insulin resistance and obesity are associated with alterations in the hormones related to calcium homeostasis and it is known that the disorders have a negative effect on serum levels of 25-hydroxyvitamin D [25(OH) D] [14, 15] and a positive effect on parathyroid hormone (PTH) concentrations [14, 16] in the women with PCOS. In addition, our study and other recent studies have demonstrated higher serum levels of PTH [14, 16], 25(OH) D, and phosphorous [16] in women with PCOS than control women. Previous studies have reported significant associations between PTH gene polymorphisms and serum levels of PTH and calcium [17, 18]. Also, vitamin D receptor (VDR) gene polymorphisms, which are involved in the control of genomic and non-genomic effects of 1, 25(OH)2 D, have been shown to be associated with cancer [19], tuberculosis [20], obesity [21], insulin sensitivity [22], serum levels of LH [23], PTH [24], and 25(OH) D [25]. Finally, in our previous study [26] a different distribution of VDR rs7975232 gene polymorphism between women with PCOS and controls was found.
Accordingly, these observations led we look for the possible associations of two SNPs (rs2059806 and rs1799817) in the INSR gene, two SNPs (rs2241766 and rs1501299) in the ADIPOQ gene, one SNP (rs6256) in the PTH gene, and one SNP (rs757343) in the VDR gene with PCOS risk. These SNPs were selected based on their commonly use in previous genetic epidemiology studies and high degree of heterozygosity.
Materials and methods
Participants
The study population consisted of 181women with PCOS (age range, 15–40 years) and 181 control women (age range, 18–45 years) reporting to the Royan Institute. Diagnosis of PCOS was based on the criteria proposed by the 1990 NIH-National Institution of Child Health and Human Development conference on PCOS [27]. These criteria are (a) the presence of menstrual dysfunction i.e. oligomenorrhea (fewer than six menstrual periods in the preceding year) or amenorrhea (absence of periods for more than 6 months), and (b) clinical hyperandrogenism (i.e.hirsutism: Ferriman–Gallwey score >8) and/or hyperandrogenemia, and (c) the exclusion of related disorders such as non classic congenital adrenal hyperplasia, androgen secreting tumors, Cushing’s syndrome and hyperprolactinemia. The control women were randomly selected from healthy community volunteers and none of them had clinical evidence of hyperandrogenism and all of them had normal menstrual cycles. Both patients and healthy controls were Iranian and genetically unrelated. All participants gave informed consent in accordance with the policy established by the Ethical Review Boards of the Royan Institute and the Institutional Review Board approval was obtained. The body mass index (BMI) of each subject was calculated as weight (kg)/height (m2).
Genotype analysis
Blood samples from all 362 subjects for molecular genetic studies were collected in tubes containing ethylene diaminetetraacetic acid (EDTA) as an anticoagulant and stored at 4C. Genomic DNA was extracted from whole blood using a Genomic DNA Extraction Kit (BioNEER, Daejeon, Korea). Using PCR-RFLP method all of the six studied SNPs (Table 1) were genotyped. Digested products were run on a 2 or 3% agarose gel, and stained with ethidium bromide for visualization under UV light. For quality control reasons, we repeated the genotyping analysis of 10% of the samples with identical results. The genotyping was also confirmed by the DNA sequencing of 2% of the samples.
Statistical analysis
Differences in anthropometric factors were calculated using t-test. Testing for Hardy- Weinberg equilibrium for each of the six SNPs within cases and controls separately and comparisons of the distribution of the genotype and allele frequencies were performed using the χ2 or Fisher’s exact tests as appropriate. We used logistic regression analysis to adjust for confounding factors such as age and BMI. Odds ratios (OR) are given with the respective 95% confidence intervals (95% CI). Significance was accepted at P-value less than 0.05, or in case of multiple testing using the conservative Bonferroni correction for 6 SNPs, at P < 0.0083 (P < 0.05/6). Data were analyzed using SPSS software (version 15.0; SPSS Inc. Chicago, IL, USA).
Results
Selected characteristics of the study population are summarized in Table 2 . Women with PCOS were younger and had higher BMI than controls (P < 0.001 and P = 0.021, respectively). The genotype frequency distribution of all the six polymorphisms fit Hardy-Weinberg predictions in both cases and controls, suggesting that the alleles are in equilibrium (P > 0.05). In the present study, no significant difference was observed in genotype and allele frequencies between the women with PCOS and controls for the INSR rs2059806 and rs1799817, ADIPOQ rs1501299, PTH rs6256, and VDR rs757343 gene polymorphisms (Tables 2, 3).
However, as shown in Table 2, we observed an association between ADIPOQ rs2241766 gene polymorphism and PCOS risk. The ADIPOQ rs2241766 “TT” genotype compared with “TG and GG” genotypes was associated with a 1.93-fold increased risk for PCOS (P = 0.006, OR = 1.93, 95% CI = 1.20–3.11), and the difference remained significant after adjustment for age and BMI (P = 0.039, OR = 1.72, 95% CI = 1.03–2.86). This association becomes non-significant after the stringent Bonferroni correction for analysis of the six SNPs (P = 0.039/6 which is more than P < 0.0083). Furthermore, the ADIPOQ rs2241766 “T” allele was significantly overrepresented in women with PCOS than controls (P = 0.006; OR = 1.80, 95% CI = 1.18–2.70), and the difference remained significant after Bonferroni correction (0.006/6 < 0.0083).
Additionally, we conducted a breakdown comparison between cases and controls within different BMI categories with respect to allele and genotype frequencies (data not shown). In the comparison between normal weight (BMI < 25 kg/m2) controls and normal weight women with PCOS, as well as in the comparison between overweight/obese (BMI ≥25 kg/m2) controls and overweight/obese women with PCOS, we found no differences in previous obtained results. In other words, no significant association was observed between the studied gene polymorphisms and risk of PCOS with the exception of the ADIPOQ rs2241766 polymorphism.
In this study, the risk of obesity in relation to these polymorphisms in women with PCOS was also examined; comparison between normal weight cases and overweight/obese cases (data not shown). We observed no significant difference in genotype and allele frequencies between these two groups for all of the six polymorphisms.
Discussion
We conducted a case-control study to examine the possible association between the polymorphisms in INSR, ADIPOQ, PTH, and VDR genes and risk of PCOS. In the present study, no statistically significant difference was found in the frequencies of INSR rs2059806 and rs1799817, ADIPOQ rs1501299, PTH rs6256, and VDR rs757343 gene polymorphisms between women with PCOS and controls. However, the ADIPOQ rs2241766 “TT” genotype appeared to be marker of increased PCOS susceptibility. Furthermore, the ADIPOQ rs2241766 “T” allele was more frequent among the women with PCOS compared with the controls.
At the present, PCOS is considered as a complex multi factorial disorder that might result from the interaction of predisposing and protective genomic variants under the influence of environmental factors, including nutritional factors. The association between DNA sequence variations to PCOS has become a subject of interest in recent years. The number and nature of genes that influence susceptibility to PCOS are largely unknown. However most studies have included genes involved in the secretion and/or action of insulin, and regulation of androgen biosynthesis and function [31].
Our findings are in line with previous studies [8, 10] showing a significant association between the ADIPOQ rs2241766 polymorphism and risk of PCOS. However, we observed that the ADIPOQ rs2241766 “T” allele was associated with increased risk of PCOS; while Zhang et al. [10] found that the “G” allele was related to the increased risk; but null associations also have been observed [11]. Since rs2241766 at exon 2 is a “synonymous” SNP meaning that it does not alter the amino acid sequence of adiponectin, the exact molecular mechanisms responsible for the biological effects of the variation is not known at present. However, Yang et al. [32] have suggested that, the rs2241766 polymorphism to be associated with differences in ADIPOQ mRNA expression level and the “T” allele appear to be less active than the “G” allele. The rs2241766 polymorphism may affect mRNA levels through regulation of mRNA splicing and/or stability. On the other hand, adiponectin levels were lower in patients with PCOS than control [11], and it has been reported that the serum levels of adiponectin is significantly lower in individuals with “TT” genotype compared with those with “GG” genotype [33]. Furthermore, in women with PCOS, the individuals with “TT” genotype had higher insulin resistance [4]. In addition, the “T” allele was related to a higher risk of obesity [32]. Our finding that the ADIPOQ rs2241766 “TT” genotype appeared to be a marker of increased PCOS susceptibility is consistent with the notions above. Therefore, a possible hypothesis is that as the “T” allele is less stable and translated less efficiently into adiponectin, reduced adiponectin abundance may impede adiponectin actions and may contribute to the PCOS risk. Alternatively, the rs2241766 polymorphism may be in linkage disequilibrium with another unknown functional variant of the ADIPOQ gene that explains the association observed. In the present study, we also found that the ADIPOQ rs2241766 “TG” genotype compared with “TT and GG” genotypes was associated with an approximate 45% decreased risk for PCOS. On the other hand, in a previous study by Kaklamani et al. [34], ADIPOQ rs2241766 “TG” genotype was associated with increased serum levels of adiponectin. Therefore, it is possible that the decreased PCOS risk in the individuals with “TG” genotype is result of the higher levels of adiponectin in these subjects.
This study is also in concordance with recent studies [4, 9], where no association was found between the ADIPOQ rs1501299 polymorphism and the risk of PCOS; nevertheless, significant association has been reported [10]. Previous studies have also suggested that the subjects with “AA and AC” genotype had higher ADIPOQ mRNA levels than those with “CC” genotype [35]. Since the rs1501299 polymorphism is located in intron 2 meaning that it does not alter the amino acid sequence of adiponectin, the exact molecular mechanisms responsible for the biological effects of the variation is not known at present.
Studies of the effect of INSR gene SNPs on PCOS have been inconclusive. Our finding is in concordance with a recent study [7], where no association was found between the INSR rs1799817 gene polymorphism and risk of the syndrome. Nevertheless, Siegel et al. [6] have reported a significant association between the SNP and the risk of PCOS. These inconsistent results may contribute to false positive results, ethnic/racial differences in genetic makeup, the variation in environmental, particularly nutritional, factors, the differences in disease definition, genotyped markers and statistical methods. Furthermore, to our knowledge, in this report, the association of INSR rs2059806 gene polymorphism with PCOS risk was studied, which to our knowledge has not been examined previously. The rs2059806 polymorphism at exon 8 is a “synonymous” SNP meaning that it does not alter the amino acid sequence of INSR [36]. However, to conclude that there is no relationship between the rs2059806 polymorphism and PCOS risk, it should be further studied in other populations and larger groups.
To our knowledge, this study represents the first investigation into the association of the VDR rs757343 gene polymorphism with the risk of PCOS; no significant association was found for the polymorphism. The rs757343 polymorphism is located in intron 8 at the 3′ end of the VDR gene [30]. The 3′-untranslated region (3′-UTR) of genes is known to be involved in regulation of gene expression, especially through regulation of mRNA stability [37]. Furthermore, alterations in intronic sequences may influence protein expression, but the rs757343 polymorphism was not found to influence VDR protein and mRNA levels. On the other hand, in our previous study [26], we investigated the association between the PCOS risk and VDR rs10735810, rs1544410, rs7975232, and rs731236 polymorphisms, and we demonstrated that the VDR rs7975232 “CC” genotype was associated with PCOS risk. Conflicting results such as these are unfortunately common in genetic association studies [38, 39] and discrepancy in these studies may be explained by false positive results, small sample size, variation in dietary intakes specifically calcium and vitamin D, and differences in the genetic and/or environmental factors triggering the development of PCOS.
These data also investigated for the first time the association between PTH gene polymorphism (rs6256) and PCOS risk. The rs6256 polymorphism, which is located in exon 3 of PTH gene, might contribute to the altered gene expression. It has been demonstrated that serum PTH levels were higher in subjects carrying the rs6256 “AA” genotype compared with individuals in the “AC” and “CC” genotypes [17]. Furthermore, recent studies [14, 16] have reported that the serum level of PTH is higher in women with PCOS than controls. However, we did not find any association between PTH rs6256 genotypes and alleles and PCOS risk. It is possible that our sample size was not large enough to demonstrate the possible difference in the genotype or allele distributions between these two groups. However, to conclude that PTH gene is not involved in the pathogenesis of PCOS, other PTH gene polymorphisms should also be investigated in larger studies.
There are several limitations to our study. A potential limitation of the present study is the modest sample size that precludes drawing strong conclusions. The other limitation is that only one variant per gene was genotyped and thus coverage of each gene was incomplete. Another limitation is a potential information bias from the case-control study design. Accordingly, we could not completely rule out the possibility of chance findings. Nevertheless, the possibility of true finding should not be excluded.
In conclusion, in this case-control study, the ADIPOQ rs2241766 “TT” genotype appeared to be marker of increased PCOS susceptibility. This study also indicates for the first time that there are no significant associations between INSR rs2059806, PTH rs6256, and VDR rs757343 gene polymorphisms and PCOS risk. However, further studies are warranted to confirm these findings.
References
Legro RS (1995) The genetics of polycystic ovary syndrome. Am J Med 98:9s–16s
Dunaif A (1997) Insulin resistance and the polycystic ovary syndrome: mechanism and implications for pathogenesis. Endocr Rev 18:774–800
Margolin E, Zhornitzki T, Kopernik G, Kogan S, Schattner A, Knobler H (2005) Polycystic ovary syndrome in post-menopausal women—marker of the metabolic syndrome. Maturitas 50:331–336
Xita N, Georgiou I, Chatzikyriakidou A, Vounatsou M, Papassotiriou GP, Papassotiriou I, Tsatsoulis A (2005) Effect of adiponectin gene polymorphisms on circulating adiponectin and insulin resistance indexes in women with polycystic ovary syndrome. Clin Chem 51:416–423
Mukherjee S, Shaikh N, Khavale S, Shinde G, Meherji P, Shah N, Maitra A (2009) Genetic variation in exon 17 of INSR is associated with insulin resistance and hyperandrogenemia among lean Indian women with polycystic ovary syndrome. Eur J Endocrinol 160:855–862
Siegel S, Futterweit W, Daries TF, Concepcion ES, Greenberg DA, Villanueva R, Tomer Y (2002) A C/T single nucleotide polymorphism at the tyrosin kinase domain of the insulin receptor gene is associated with polycystic ovary syndrome. Fertil Steril 78:1240–1243
Lee EJ, Yoo KJ, Kim SJ, Lee SH, Chan KY, Baek KH (2006) Single nucleotide polymorphism in exon 17 of the insulin receptor gene is not associated with polycystic ovary syndrome in a Korean population. Fertil Steril 86:380–384
Panidis D, Kourtis A, Kukuvitis A, Farmakiotis D, Xita N, Georgiou I, Tsatsoulis A (2004) Association of the T45G polymorphism in exon 2 of the adiponectin gene with polycystic ovary syndrome: role of ∆4 androstenedione. Hum Reprod 19:1728–1733
San Millan JL, Corton M, Villuendas G, Sancho J, Peral B, Escobar-Morreale HF (2004) Association of the polycystic ovary syndrome with genomic variants related to insulin resistance, type 2 diabetes mellitus, and obesity. J Clin Endocrinol Metab 89:2640–2646
Zhang N, Shi YH, Hao CF, Gu HF, Li Y, Zhao YR, Wang LC, Chen ZJ (2008) Association of C45G15G (T/G) and C276 (G/T) polymorphisms in the ADIPOQ gene with polycystic ovary syndrome among Han Chinese women. Eur J Endocrinol 158:255–260
Demirci H, Yilmaz M, Ergun MA, Yurtcu E, Bukan N, Ayvaz G (2010) Frequency of adiponectin gene polymorphisms in polycystic ovary syndrome and the association with serum adiponectin, androgen levels, insulin resistance and clinical parameters. Gynecol Endocrinol 26:348–535
Gedik O, Zileli MS (1977) Effects of hypocalcemia and theophylline on glucose tolerance and insulin release in human beings. Diabetes 26:813–819
Sun G, Vasdev S, Martin GR, Gadag V, Zhang H (2005) Altered calcium homeostasis is correlated with abnormalities of fasting serum glucose, insulin resistance, and β-cell function in the Newfoundland population. Diabetes 54:3336–3339
Panidis D, Balaris C, Farmakiotis D, Rousso D, Kourtis A, Balaris V, Katsikis I, Zournatzi V, Diamanti-Kandarakis E (2005) Serum parathyroid hormone concentrations are increased in women with polycystic ovary syndrome. Clin Chem 51:1691–1697
Hahn S, Haselhorst U, Tan S, Quadbeck B, Schmidt M, Roesler S, Kimmig R, Mann K, Janssen OE (2006) Low serum 25-hydroxyvitamin D concentrations are associated with insulin resistance and obesity in women with polycystic ovary syndrome. Exp Clin Endocr Diab 114:577–583
Mahmoudi T, Gourabi H, Ashrafi M, Yazdi RS, Ezabadi Z (2010) Calciotropic hormones, insulin resistance and the polycystic ovary syndrome. Fertil Steril 93:1208–1214
Kanzawa M, Sugimoto T, Kobayashi T, Kobayashi A, Chihara K (1999) Parathyroid hormone gene polymorphisms in primary hyperparathyroidism. Clin Endocrinol 50:583–588
Gohda T, Shou I, Fukui M, Funabiki K, Horikoshi S, Shirato I, Tomino Y (2002) Parathyroid hormone gene polymorphism and secondary hyperparathyroidism in hemodialysis patients. Am J Kidney Dis 39:1255–12560
Mahmoudi T, Karimi Kh, Mohebbi SR, Fatemi SR, Zali MR (2010) Start codon FokI and intron 8 BsmI variants in the vitamin D receptor gene and susceptibility to colorectal cancer. Mol Biol Rep. doi:10.1007/s11033-010-0613-1
Ates O, Dolek B, Dalyan L, Musellim B, Ongen G, Topal-Sarikaya A (2011) The association between BsmI variant of vitamin D receptor gene and susceptibility to tuberculosis. Mol Biol Rep 38:2633–2636
Grundberg E, Brandstrom H, Ribom EL, Ljunggren O, Mallmin H, Kindmark A (2004) Genetic variation in the human vitamin D receptor is associated with muscle strength, fat mass and body weight in Swedish women. Eur J Endocrinol 150:323–328
Oh JY, Barrett-Connor E (2002) Association between vitamin D receptor polymorphism and type 2 diabetes or metabolic syndrome in community-dwelling older adults: the Rancho Bernardo study. Metabolism 51:356–359
Ranjzad F, Mahban A, Irani Shemirani A, Mahmoudi T, Vahedi M, Nikzamir A, Zali MR (2010) Influence of gene variants related to calcium homeostasis on biochemical parameters of women with polycystic ovary syndrome. J Assist Reprod Genet 28:225–232
Zofkova II, Zajickova K, Hill M (2003) Serum parathyroid hormone levels are associated with FokI polymorphism of the vitamin D receptor gene in untreated postmenopausal women. Eur J Intern Med 14:232–236
Baroncelli GI, Bereket A, El Kholy M, Audi L, Cesur Y, Ozkan B, Rashad M, Fernandez-Cancio M, Weisman Y, Saggese G, Hochberg Z (2008) Rickets in the Middle East: role of environment and genetic predisposition. J Clin Endocrinol Metab 93:1743–1750
Mahmoudi T (2009) Genetic variation in the vitamin D receptor and polycystic ovary syndrome risk. Fertil Steril 92:1381–1383
Zawadski JK, Dunaif A (1992) Diagnostic criteria for polycystic ovary syndrome: towards a rational approach. In: Dunaif A, Givens JR, Haseltine FP, Merriam GE, Hershman SM (eds) Polycystic ovary syndrome. Current issues in endocrinology and metabolism. Blackwell, Boston, pp 377–384
Thomas GN, Tomlinson B, Chan JC, Lee ZS, Cockran CS, Critchley JA (2000) An insulin receptor gene polymorphism is associated with diastolic blood pressure in Chinese subjects with components of the metabolic syndrome. Am J Hypertens 13:745–752
Mullersman JE, Shields JJ, Saha BK (1992) Characterization of two novel polymorphisms at the human parathyroid hormone gene locus. Hum Genet 88:589–592
Ye WZ, Reis AF, Velho G (2000) Identification of a novel Tru9I polymorphism in the human vitamin D receptor gene. J Hum Genet 45:56–57
Escobar-Morreale HF, Luque-Ramirez M, San Millan JL (2005) The molecular genetic basis of functional hyperandrogenism and the polycystic ovary syndrome. Endocr Rev 26:251–282
Yang WS, Tsou PL, Lee WJ, Tseng DL, Chen CL, Peng CC, Lee KC, Chen MJ, Huang CJ, Tai TY, Chuang LM (2003) Allele-specific differential expression of a common adiponectin gene polymorphism related to obesity. J Mol Med 81:428–434
Heid IM, Wagner SA, Gohlke H, Iglseder B, Muller JC, Cip P, Ladurner G, Reiter R, Stadlmayr A, Mackevics V, Illig T, Kronenberg F, Paulweber B (2006) Genetic architecture of the APM1 gene and its influence on adiponectin plasma levels and parameters of the metabolic syndrome in 1,727 healthy Caucasians. Diabetes 55:375–384
Kaklamani VG, Sadim M, His A, Offit K, Oddoxu C, Ostrer H, Ahsan H, Pasche B, Mantzoros C (2008) Variants of the adiponectin and adiponectin receptor 1 genes and breast cancer risk. Cancer Res 68:3178–3184
Fredriksson J, Carlsson E, Orho-Melander M, Groop L, Ridderstrale M (2006) A polymorphism in the adiponectin gene influences adiponectin expression levels in visceral fat in obese subjects. Int J Obes 30:226–232
Hanis CL, Bertin TK (1990) Identification of an insulin receptor exon 8 NsiI polymorphism using the polymerase chain reaction. Nucleic Acids Res 18:5923
Morrison NA, Qi JC, Tokita A, Kelly PJ, Crofts L, Nguyen TV, Sambrook PN, Eisman JA (1994) Prediction of bone density from vitamin D receptor alleles. Nature 367:284–287
Ioannidis JP, Ntzani EE, Trikalinos TA, Contopoulos-Ioannidis DG (2001) Replication validity of genetic association studies. Nat Genet 29:306–309
Lohmueller KE, Pearce CL, Pike M, Lander ES, Hirschhorn JN (2003) Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease. Nat Genet 33:177–182
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The authors thank all patients and healthy blood donors for providing blood samples. This work was supported by a grant from the Royan Institute.
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Ranjzad, F., Mahmoudi, T., Irani Shemirani, A. et al. A common variant in the adiponectin gene and polycystic ovary syndrome risk. Mol Biol Rep 39, 2313–2319 (2012). https://doi.org/10.1007/s11033-011-0981-1
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DOI: https://doi.org/10.1007/s11033-011-0981-1