Polycystic ovary syndrome (PCOS) is a disorder characterized by hyperandrogenism, ovulatory dysfunction and polycystic ovarian morphology. Affected women frequently have metabolic disturbances including insulin resistance and dysregulation of glucose homeostasis. PCOS is diagnosed with two different sets of diagnostic criteria, resulting in a phenotypic spectrum of PCOS cases. The genetic similarities between cases diagnosed based on the two criteria have been largely unknown. Previous studies in Chinese and European subjects have identified 16 loci associated with risk of PCOS. We report a fixed-effect, inverse-weighted-variance meta-analysis from 10,074 PCOS cases and 103,164 controls of European ancestry and characterisation of PCOS related traits. We identified 3 novel loci (near PLGRKT, ZBTB16 and MAPRE1), and provide replication of 11 previously reported loci. Only one locus differed significantly in its association by diagnostic criteria; otherwise the genetic architecture was similar between PCOS diagnosed by self-report and PCOS diagnosed by NIH or non-NIH Rotterdam criteria across common variants at 13 loci. Identified variants were associated with hyperandrogenism, gonadotropin regulation and testosterone levels in affected women. Linkage disequilibrium score regression analysis revealed genetic correlations with obesity, fasting insulin, type 2 diabetes, lipid levels and coronary artery disease, indicating shared genetic architecture between metabolic traits and PCOS. Mendelian randomization analyses suggested variants associated with body mass index, fasting insulin, menopause timing, depression and male-pattern balding play a causal role in PCOS. The data thus demonstrate 3 novel loci associated with PCOS and similar genetic architecture for all diagnostic criteria. The data also provide the first genetic evidence for a male phenotype for PCOS and a causal link to depression, a previously hypothesized comorbid disease. Thus, the genetics provide a comprehensive view of PCOS that encompasses multiple diagnostic criteria, gender, reproductive potential and mental health. We performed an international meta-analysis of genome-wide association studies combining over 10,000,000 genetic markers in more than 10,000 European women with polycystic ovary syndrome (PCOS) and 100,000 controls. We found three new risk variants associated with PCOS. Our data demonstrate that the genetic architecture does not differ based on the diagnostic criteria used for PCOS. We also demonstrate a genetic pathway shared with male pattern baldness, representing the first evidence for shared disease biology in men, and shared genetics with depression, previously postulated based only on observational studies.

BACKGROUND: Anti-Müllerian hormone (AMH) is secreted by granulosa cells of ovarian early developing follicles and its serum levels have been shown to correlate with small antral follicle number. Since the pronounced androgen secretion from follicles/stroma in women with polycystic ovary syndrome (PCOS) remains until late reproductive age, and since AMH reflects the number of antral follicles, it was of interest to study the possible age-related relationship between AMH, androgens and follicle number in women with PCOS and in control women. Moreover, the possible effect of metformin on serum AMH levels and the relationship to follicle count and volume were studied. METHODS: Forty-four healthy women (aged 21–44 years) and 65 women with previously diagnosed PCOS (aged 16–44 years) participated in the study. Serum basal AMH levels were correlated with those of serum androstenedione, testosterone, estradiol (E₂), LH, FSH and inhibin B, and with follicle number. The effect of metformin on serum AMH concentrations, follicle number and ovarian volume was studied in 26 women (aged 20–41 years) with PCOS after 6 months of treatment. RESULTS: Serum AMH levels were 2- to 3- fold higher in PCOS women than in healthy women. In control women, serum AMH levels correlated positively with those of serum androstenedione (r=0.564, P<0.001) and testosterone (r=0.328, P=0.036) and negatively with serum FSH concentrations (r=−0.374, P=0.012) and age (r=−0.691, P<0.001). In women with PCOS, serum AMH levels correlated positively with those of androstenedione (r=0.311, P=0.011) and testosterone (r=0.310, P=0.011) and with follicle count (r=0.352, P=0.012), and negatively with age (r=−0.300, P=0.014). Serum AMH levels, the number of antral follicles and ovarian volume decreased significantly during metfromin treatment. CONCLUSIONS: Serum AMH levels decreased with age both in healthy women and in women with PCOS, although they were always 2- to 3-fold higher and remained elevated until 40 years of age in PCOS subjects. Thus, since serum AMH levels correlate well with antral follicle count and serum androgen levels, the measurement of AMH could be used as a tool to assess ovarian ageing, to diagnose polycystic ovaries/PCOS and to evaluate treatment efficacy.

The role of metformin in the treatment of infertility in women with polycystic ovary syndrome (PCOS) is still controversial. OBJECTIVE AND OUTCOMES: We investigated whether metformin decreases the early miscarriage rate and improves the pregnancy rates (PR) and live-birth rates (LBR) in PCOS. This was a multicenter, randomized (1:1), double-blind, placebo-controlled study. Three hundred twenty women with PCOS and anovulatory infertility were randomized to metformin (n = 160, Diformin; obese women, 1000 mg two times daily; nonobese subjects, 500 mg + 1000 mg daily) or identical doses of placebo (n = 160). After 3 months' treatment, another appropriate infertility treatment was combined if necessary. If pregnancy occurred, metformin/placebo was continued up to the 12th week. Miscarriage rates were low and similar in the two groups (metformin 15.2% vs. placebo 17.9%, P = 0.8). Intent-to-treat analysis showed that metformin significantly improved PR and LBR (vs. placebo) in the whole study population (PR: 53.6 vs. 40.4%, P = 0.006; LBR: 41.9 vs. 28.8%, P = 0.014) and PR in obese women (49.0 vs. 31.4%, P = 0.04), and there was a similar trend in nonobese (PR: 58.6 vs. 47.6%, P = 0.09; LBR: 46.7 vs. 34.5%, P = 0.09) and in obese women with regard to LBR (35.7 vs. 21.9%, P = 0.07). Cox regression analysis showed that metformin plus standard infertility treatment increased the chance of pregnancy 1.6 times (hazard rate 1.6, 95% confidence interval 1.13-2.27). Obese women especially seem to benefit from 3 months' pretreatment with metformin and its combination thereafter with routine ovulation induction in anovulatory infertility.

Low-grade chronic inflammation, reflected in elevated levels of serum C-reactive protein (CRP), has recently been linked to obesity, insulin resistance syndromes such as polycystic ovary syndrome (PCOS), and an increased risk of cardiovascular disease. Because the insulin sensitizer metformin has been shown to improve metabolic disturbances in PCOS, it was of particular interest to examine serum CRP levels during metformin therapy. Twenty nonobese women [body mass index (BMI) /==" BORDER="0"> 27 kg/m(2)) with PCOS were randomized to receive either metformin (500 mg twice daily for 3 months, then 1000 mg twice daily for 3 months) or ethinyl estradiol (35 micro g)-cyproterone acetate (2 mg) oral contraceptive pills. The serum concentrations of CRP were significantly higher in obese than in nonobese subjects at baseline [4.08 +/- 0.53 (SE) vs. 1.31 +/- 0.28 mg/liter; P < 0.001] and correlated to BMI and to a lesser extent waist-hip ratio, suggesting that the elevated CRP levels may be related to obesity and not only to PCOS itself. During metformin treatment, serum CRP levels decreased significantly from 3.08 +/- 0.7 mg/liter to 1.52 +/- 0.26 mg/liter at 6 months in the whole study population (P = 0.006) and especially in obese subjects. In contrast, the treatment with ethinyl estradiol-cyproterone acetate increased serum CRP levels from 2.91 +/- 0.68 mg/liter to 4.58 +/- 0.84 mg/liter (P < 0.001). Whether this effect is related to estrogen action in the liver or whether it reflects increased inflammation process and possible risks for cardiovascular disease remains unclear. The decrease of serum CRP levels during metformin therapy is in accordance with the known beneficial metabolic effects of this drug and suggests that CRP or other inflammation parameters could be used as markers of treatment efficiency in women with PCOS.

Sex hormone-binding globulin (SHBG) is a glycoprotein responsible for the transport and biologic availability of sex steroid hormones, primarily testosterone and estradiol. SHBG has been associated with chronic diseases including type 2 diabetes (T2D) and with hormone-sensitive cancers such as breast and prostate cancer. We performed a genome-wide association study (GWAS) meta-analysis of 21,791 individuals from 10 epidemiologic studies and validated these findings in 7,046 individuals in an additional six studies. We identified twelve genomic regions (SNPs) associated with circulating SHBG concentrations. Loci near the identified SNPs included SHBG (rs12150660, 17p13.1, p = 1.8×10⁻¹⁰⁶), PRMT6 (rs17496332, 1p13.3, p = 1.4×10⁻¹¹), GCKR (rs780093, 2p23.3, p = 2.2×10⁻¹⁶), ZBTB10 (rs440837, 8q21.13, p = 3.4×10⁻⁰⁹), JMJD1C (rs7910927, 10q21.3, p = 6.1×10⁻³⁵), SLCO1B1 (rs4149056, 12p12.1, p = 1.9×10⁻⁰⁸), NR2F2 (rs8023580, 15q26.2, p = 8.3×10⁻¹²), ZNF652 (rs2411984, 17q21.32, p = 3.5×10⁻¹⁴), TDGF3 (rs1573036, Xq22.3, p = 4.1×10⁻¹⁴), LHCGR (rs10454142, 2p16.3, p = 1.3×10⁻⁰⁷), BAIAP2L1 (rs3779195, 7q21.3, p = 2.7×10⁻⁰⁸), and UGT2B15 (rs293428, 4q13.2, p = 5.5×10⁻⁰⁶). These genes encompass multiple biologic pathways, including hepatic function, lipid metabolism, carbohydrate metabolism and T2D, androgen and estrogen receptor function, epigenetic effects, and the biology of sex steroid hormone-responsive cancers including breast and prostate cancer. We found evidence of sex-differentiated genetic influences on SHBG. In a sex-specific GWAS, the loci 4q13.2-UGT2B15 was significant in men only (men p = 2.5×10⁻⁰⁸, women p = 0.66, heterogeneity p = 0.003). Additionally, three loci showed strong sex-differentiated effects: 17p13.1-SHBG and Xq22.3-TDGF3 were stronger in men, whereas 8q21.12-ZBTB10 was stronger in women. Conditional analyses identified additional signals at the SHBG gene that together almost double the proportion of variance explained at the locus. Using an independent study of 1,129 individuals, all SNPs identified in the overall or sex-differentiated or conditional analyses explained ∼15.6% and ∼8.4% of the genetic variation of SHBG concentrations in men and women, respectively. The evidence for sex-differentiated effects and allelic heterogeneity highlight the importance of considering these features when estimating complex trait variance. Sex hormone-binding globulin (SHBG) is the key protein responsible for binding and transporting the sex steroid hormones, testosterone and estradiol, in the circulatory system. SHBG regulates their bioavailability and therefore their effects in the body. SHBG has been linked to chronic diseases including type 2 diabetes and to hormone-sensitive cancers such as breast and prostate cancer. SHBG concentrations are approximately 50% heritable in family studies, suggesting SHBG concentrations are under significant genetic control; yet, little is known about the specific genes that influence SHBG. We conducted a large study of the association of SHBG concentrations with markers in the human genome in ∼22,000 white men and women to determine which loci influence SHBG concentrations. Genes near the identified genomic markers in addition to the SHBG protein coding gene included PRMT6, GCKR, ZBTB10, JMJD1C, SLCO1B1, NR2F2, ZNF652, TDGF3, LHCGR, BAIAP2L1, and UGT2B15. These genes represent a wide range of biologic pathways that may relate to SHBG function and sex steroid hormone biology, including liver function, lipid metabolism, carbohydrate metabolism and type 2 diabetes, and the development and progression of sex steroid hormone-responsive cancers.