Polymorphisms in the SHBG Gene Influence Serum SHBG Levels in Women with Polycystic Ovary Syndrome

被引:57
作者
Wickham, Edmond P., III [1 ]
Ewens, Kathryn G. [3 ]
Legro, Richard S. [4 ]
Dunaif, Andrea [5 ]
Nestler, John E. [2 ]
Strauss, Jerome F., III [2 ]
机构
[1] Virginia Commonwealth Univ, Div Endocrinol & Metab, Dept Internal Med, Richmond, VA 23298 USA
[2] Virginia Commonwealth Univ, Dept Obstet & Gynecol, Richmond, VA 23298 USA
[3] Univ Penn, Sch Med, Dept Genet, Philadelphia, PA 19104 USA
[4] Penn State Hershey Coll Med, Dept Obstet & Gynecol, Hershey, PA 17033 USA
[5] Northwestern Univ, Feinberg Sch Med, Div Endocrinol Metab & Mol Med, Chicago, IL 60611 USA
基金
美国国家卫生研究院;
关键词
HORMONE-BINDING GLOBULIN; HOMEOSTASIS MODEL ASSESSMENT; INSULIN-RESISTANCE; DIABETES-MELLITUS; SEX-HORMONES; CELL-LINE; FOLLOW-UP; ASSOCIATION; RISK; PREVALENCE;
D O I
10.1210/jc.2010-1842
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Context: Single-nucleotide polymorphisms (SNPs) in the SHBG gene are associated with type 2 diabetes mellitus. SHBG has also been proposed as a candidate gene for the polycystic ovary syndrome (PCOS). Objective: The study aims were 1) to determine whether any of four SHBG SNPs (rs1779941, rs6297, rs6259, and rs727428) are associated with PCOS and 2) to determine whether SNP genotype influences SHBG levels in PCOS women. Design: Using the transmission disequilibrium test, evidence of associations between SHBG SNPs and PCOS were analyzed. Additionally, correlations between SHBG levels and SNP genotype, body mass index, non-SHBG-bound testosterone, and insulin resistance estimated by the homeostasis model were determined. Setting: The study was conducted at academic medical centers. Patients or Other Participants: A total of 430 families having a proband with PCOS were included in the family-based study. Associations between SNP genotypes, SHBG, and metabolic parameters were determined in 758 women with PCOS including probands from the family cohort. Main Outcome Measures: Primary outcome measures included transmission frequency of SNP alleles and correlation coefficients between SHBG and allele frequency/metabolic parameters. Results: No evidence of association between SNPs of interest and PCOS was found. However, in multivariate analyses, SHBG levels varied significantly with rs1799941 and rs727428 genotype after controlling for body mass index, non-SHBG-bound testosterone, and homeostasis model for insulin resistance. Conclusions: Although SHBG SNPs associated with type 2 diabetes mellitus do not appear to be associated with PCOS status, rs1799941 and rs727428 genotypes are associated with SHBG levels independent of the effects of insulin resistance and obesity. (J Clin Endocrinol Metab 96: E719-E727, 2011)
引用
收藏
页码:E719 / E727
页数:9
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