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STUDY QUESTION Are there any novel genetic markers of susceptibility to polycystic ovary syndrome (PCOS)? SUMMARY ANSWER We identified a novel susceptibility locus on chromosome 8q24.2 and several moderately associated loci for PCOS in Korean women. WHAT IS KNOWN ALREADY PCOS is a highly complex disorder with significant contributions from both genetic and environmental factors. Previous genome-wide association studies (GWAS) in the Han Chinese population identified several risk loci for PCOS. However, GWAS studies on PCOS remain very few. The aim of this study was to identify novel markers of susceptibility to PCOS through GWAS. STUDY DESIGN, SIZE, DURATION A two-stage GWAS was conducted. The initial discovery set for GWAS consisted of 976 PCOS cases and 946 controls. The second stage (replication study) included 249 PCOS cases and 778 controls. PARTICIPANTS/MATERIALS, SETTING, METHODS Patients were diagnosed according to the Rotterdam criteria. Genomic DNAs were genotyped using the HumanOmni1-Quad v1 array. In the replication stage, the 21 most promising signals selected from the discovery stage were tested for their association with PCOS. MAIN RESULTS AND THE ROLE OF CHANCE One novel locus with genome-wide significance and seven moderately associated loci for PCOS were identified. The strongest association was on chromosome 8q24.2 (rs10505648, OR = 0.52, P = 5.46 × 10−8), and other association signals were located at 4q35.2, 16p13.3, 4p12, 3q26.33, 9q21.32, 11p13 and 1p22 (P = 5.72 × 10−6–6.43 × 10−5). The strongest signal was located upstream of KHDRBS3, which is associated with telomerase activity, and could drive PCOS and related phenotypes. LIMITATIONS, REASONS FOR CAUTION The limitation of our study is the modest sample size used in the replication cohort. The limited sample size may contribute to a lack of statistical power to detect an association or show a trend in severity. WIDER IMPLICATIONS OF THE FINDINGS Our findings provide new insight into the genetics and biological pathways of PCOS and could contribute to the early diagnosis and prevention of metabolic and reproductive morbidities. STUDY FUNDING/COMPETING INTEREST(S) This work was supported in part by the grant from the Korea Centers for Disease Control and Prevention (2009-E00591-00). The work was also supported by the Ewha Global Top5 Grant 2013 of Ewha Womans University. None of the authors has any conflict of interest to declare. [ABSTRACT FROM PUBLISHER]

Depression and psychological distress are known to be associated with diabetes development as well as the disease progression including glycemic control and chronic complication, but relationship of personality with diabetes is controversial. We examined whether personality trait and the presence of abnormal glucose regulation (AGR; diabetes and pre-diabetes) are associated in young women. A total of 1,617 young women aged 19-39 years without previously diagnosed diabetes were participated voluntarily. Personality trait was assessed by self-reported questionnaire using the five-factor model (neuroticism, extraversion, openness to experience, agreeableness and conscientiousness) consisting of five-point scale ranging from 'strongly disagreeable' to 'strongly agreeable.' Glucose tolerance status was assessed by standard 75-g oral glucose tolerance test. One hundred and eleven women were newly diagnosed with AGR (6.9 %). Among five factors, only extraversion trait was significantly associated with AGR. Multiple linear regression analysis showed significant negative association between extraversion trait and 2-h post-load glucose after adjustment for age, BMI, systolic blood pressure, triglycerides, HDL cholesterol and family history of diabetes ( β = −0.16, P = 0.026). Multiple logistic regression showed extraversion trait having a significant association with the presence of AGR after adjustment for the same covariates (OR 0.97, 95 % CI 0.95-0.99, P = 0.011). The frequency of AGR was significantly increased according to the decrease in extraversion score ( P for trend with exact test = 0.047). In conclusion, extraversion may be an important personality trait having a beneficial effect on decreasing the risk of AGR. [ABSTRACT FROM AUTHOR]

Objective: To determine the features of polycystic ovary syndrome (PCOS) that are implicated in the associated reproductive and metabolic morbidities. Design: Cross-sectional case–control study. Setting: Academic medical setting. Patient(s): A total of 1,062 women with PCOS and 1,887 women without PCOS. Intervention(s): None. Main Outcome Measure(s): Physical examination including hirsutism scoring, biochemical and hormone measurements, ovarian ultrasound, and a 75-g oral glucose tolerance test to measure glucose and insulin levels. Result(s): A factor analysis identified four dominant factors in women with PCOS. These factors were interpreted as follows: [1] metabolic and hyperandrogenemia factor, [2] oligomenorrhea and hyperandrogenemia factor, [3] blood pressure factor, and [4] ovarian morphology factor. In women with PCOS, hyperandrogenemia was a significant predictor of metabolic syndrome after adjusting for age, body mass index, and insulin resistance in the regression analysis. Conclusion(s): A factor analysis identified multiple factors that are responsible for the abnormalities associated with PCOS. Hyperandrogenemia was a common underlying feature of the metabolic and reproductive abnormalities in women with PCOS but not in women without PCOS. [ABSTRACT FROM AUTHOR]

Objective Although menstrual irregularity is associated with insulin resistance and hyperandrogenism, the relationship between the severity of menstrual infrequency and clinical phenotypes in young women with oligomenorrhoea ( OM) is unclear. We evaluated whether a longer menstrual cycle length is associated with less favourable metabolic features. Design/Patients/Measurements A total of 1174 young women (aged 19-39 years) with a menstrual cycle length over 40 days and 1430 women with regular menstrual cycles participated voluntarily. Metabolic parameters, insulin sensitivity index ( ISI) and testosterone were measured. Oligomenorrhoeic women were divided into three groups: (i) polycystic ovary syndrome ( PCOS) by National Institute of Health criteria, (ii) severe OM (menstrual cycle length >60 days), and (iii) mild OM (menstrual cycle length 40-60 days). Results In normal-weight women ( BMI < 23 kg/m2), the degrees of insulin resistance and hyperandrogenaemia are the highest in PCOS and higher in severe OM compared with mild OM. In overweight or obese women, PCOS was more insulin resistant and hyperandrogenaemic, but there was no difference between severe and mild OM. After excluding PCOS, women with severe OM showed a twofold increased risk of metabolic syndrome compared with regular cycling women (odds ratio 2·4, 95% confidence interval 1·1-5·6). By linear regression analysis, a longer menstrual cycle length was associated with ISI after adjustment for age, BMI, metabolic risk factors and testosterone. Conclusions Women with a menstrual cycle length over 60 days should be more closely monitored for the metabolic syndrome than women with a menstrual cycle length of 40-60 days, even if they have no PCOS. [ABSTRACT FROM AUTHOR]

Abstract: Commonly used tests for the diagnosis of diabetes include measurements of fasting plasma glucose levels and the oral glucose tolerance test (OGTT). Recently, a hemoglobin A1C (A1C) level of 6.5% has been included as a criterion for diabetes diagnosis by the American Diabetes Association. We aimed to determine appropriate A1C cutoff values for identifying patients with diabetes or prediabetes, including impaired glucose tolerance and impaired fasting glucose among Korean adults and to determine whether these cutoffs vary according to age. We recruited 4616 adults without a history of diabetes from 10 university hospitals. A 75-g OGTT and A1C sampling were performed in all examinees. Pointwise area under the receiver operating characteristic curve was used to evaluate the diagnostic accuracy of the A1C cutoff. An A1C threshold of 6.1% proved to be the optimal limit for diagnosing diabetes, with 63.8% sensitivity and 88.1% specificity. The cutoff value increased with age (5.9% in 18–39 years, 6.2% in 40–64 years, and 6.4% in older than 65 years) and were similar for men and women. An A1C cutoff of 5.7% had reasonable sensitivity (48.6%) and specificity (65.7%) for the identification of prediabetes. Further prospective studies should be carried out to determine whether the application of age-specific diagnostic criteria is appropriate. [Copyright &y& Elsevier]

Abstract: Many studies show poor agreement between fasting plasma glucose (FPG)-based and 2-h postchallenge glucose (2-h PG)-based criteria to assess glucose metabolism. We examined the rate of agreement between FPG- and 2-h PG-based criteria in the diagnosis of intermediate hyperglycemia in four representative cohort studies in South Korea and compared the clinical characteristics and biochemical parameters in subjects with impaired fasting glucose (IFG) according to their FPG values. Of 6234 subjects from four population-based studies performed from 1993 to 2000, 4610 individuals with data from a 75g oral glucose tolerance test (OGTT) and no previous history of diabetes were selected. We examined the concordance rate between the FPG and 2-h PG-based criteria. We also investigated the differences in the clinical characteristics and biochemical parameters between individuals with IFG according to their FPG values. The fasting and 2-h PG criteria had large discordance rates in the diagnosis of diabetes and impaired glucose tolerance (IGT) in Korean adults. When individuals with IFG were classified into stage 1 [5.6–6.1mmol/L (100–109mg/dL)] and stage 2 [6.1–7.0mmol/L (110–125mg/dL)] IFG, individuals with stage 2 IFG are more obese and had higher blood pressure and total cholesterol and triglycerides concentrations compared with those with stage 1 IFG. In addition, more individuals with stage 2 IFG were with diabetes as determined by a 2-h PG≥11.1mmol/L (14.1% vs. 1.9%) (P <0.05). Considering the poorer metabolic profile and higher percentage of people with diabetes by OGTT, these data indicate that, in the Korean population, individuals with stage 2 IFG should be treated differently from those with stage 1 IFG. To detect more cases of diabetes, the OGTT is recommended for all individuals with stage 2 IFG and cases with stage 1 IFG with some additional risk factors for diabetes. [Copyright &y& Elsevier]

OBJECTIVE — The aim of this study was to explore the prevalence and pattern of the metabolic syndrome and its association with hyperinsulinemia in an urban Korean population of 269 men and 505 women. RESEARCH DESIGN AND METHODS — The National Cholesterol Education Program Adult Treatment Panel (ATP) III guidelines were used to calculate the sex-specific prevalence of the metabolic syndrome. After excluding individuals taking medication for hypertension, diabetes, or dyslipidemia, we used factor analysis to examine the pattern of the metabolic syndrome in 206 men and 449 women. RESULTS — The prevalence of metabolic syndrome was 16.0% in men and 10.7% in women aged 30-80 years. However, ATP III criteria for central obesity are not optimal for an AsianPacific population; when waist circumference is reduced from 102 to 90 cm in men and 88 to 80 cm in women, the prevalence of the metabolic syndrome increased to 29.0 and 16.8%, respectively. Sex-specific factor analysis showed four factors in men (obesity, glucose intolerance, hypertension, and dyslipidemia) and three in women (obesity-hypertension, glucose intolerance, and obesity-dyslipidemia). Insulin resistance estimated from fasting insulin levels clustered with three of the four factors in men and two of the three factors in women. By ATP III or Asian-Pacific waist circumference criteria, the prevalence of the metabolic syndrome increased with increasing tertiles of insulin resistance, which was estimated by a homeostasis model assessment. CONCLUSIONS — The metabolic syndrome is common in an urban Korean population when using Asian-Pacific waist criteria. The prevalence of the metabolic syndrome increased with increasing tertiles of insulin resistance. [ABSTRACT FROM AUTHOR]

Objective: To determine the prospective association between endogenous sex hormones and the development of type 2 diabetes in older men and women.Research Design and Methods: A standardized medical history was obtained, an oral glucose tolerance test was performed, and plasma samples for sex hormones and covariates were collected from ambulatory, community-dwelling men and women at baseline from 1984 to 1987. Approximately 8 years later (1992-1996), another medical history was obtained, an oral glucose tolerance test was performed, fasting and 2-h insulin levels were measured, and the homeostasis model assessment for insulin resistance (HOMA-IR) was evaluated. This report is based on the 294 men and 233 women, aged 55-89 years, who completed both visits and who did not have diabetes as determined by history or glucose tolerance test at baseline, as well as women who were postmenopausal and not taking replacement estrogen.Results: In age-adjusted correlation analyses, total testosterone was inversely and significantly related to subsequent levels of fasting and postchallenge glucose and insulin in men, whereas bioavailable testosterone and bioavailable estradiol were positively and significantly related to fasting and postchallenge glucose and insulin in women (all P <0.05). There was similar significant association with insulin resistance (HOMA-IR) in unadjusted and multiply adjusted analyses (P <0.05). There were 26 men and 17 women with new (incident) diabetes. The odds for new diabetes were 2.7 (95% CI 1.1-6.6) for men in the lowest quartile of total testosterone and 2.9 (1.1-8.4) for women in the highest quartile of bioavailable testosterone.Conclusions: Low testosterone levels in men and high testosterone levels in women predict insulin resistance and incident type 2 diabetes in older adults. [ABSTRACT FROM AUTHOR]

Objective: To investigate whether the peripheral blood mtDNA (pb-mtDNA) content is decreased and linked to insulin resistance in the offspring of type 2 diabetic patients.Research Design and Methods: A total of 82 offspring of type 2 diabetic patients and 52 age-, sex-, and BMI-matched normal subjects from the Mokdong, Korea, population were selected for this study by stratified, randomized sampling. Of the offspring of diabetic patients, 52 had normal glucose tolerance (NGT), 21 had impaired glucose tolerance (IGT), and 9 had newly diagnosed type 2 diabetes. The pb-mtDNA content was measured by real-time polymerase chain reaction with a mitochondria-specific fluorescent probe, normalized by a nuclear DNA, 285 rRNA gene. The associations between pb-mtDNA content and several parameters of insulin resistance were studied.Results: The pb-mtDNA contents tended to be lower in the 82 offspring of type 2 diabetic patients (1,084.7 +/- 62.6 vs. 1,304.0 +/- 99.2 in the offspring and control subjects, respectively, P = 0.051) and was significantly lower in the combined NGT and IGT offspring group (NGT+IGT, 1,068.0 +/- 67.8, P < 0.05) than in the control subjects. In NGT+IGT offspring, the pb-mtDNA content was significantly correlated with logarithmically transformed insulin sensitivity (r = 0.253, P < 0.05) and was the main predictor of insulin sensitivity.Conclusions: Quantitative mtDNA status might be a hereditary factor associated with type 2 diabetes and could serve as an indicator for insulin sensitivity. [ABSTRACT FROM AUTHOR]

Study Question: Is a genetic risk score (GRS) associated with polycystic ovary syndrome (PCOS) and its related clinical features?Summary Answer: The GRS calculated by genome-wide association studies (GWASs) was significantly associated with PCOS status and its related clinical features.What Is Known Already: PCOS is a heterogeneous disorder and is characterized by oligomenorrhea, hyperandrogenism and polycystic ovary morphology. Although recent GWASs have identified multiple genes associated with PCOS, a comprehensive genetic risk study of these loci with PCOS and related traits (e.g. free testosterone, menstruation number/year and ovarian morphology) has not been performed.Study Design, Size, Duration: This study was designed as a cross-sectional case-control study. We recruited 862 women with PCOS and 860 controls. Women with PCOS were divided into four subgroups: (1) oligomenorrhea + hyperandrogenism + polycystic ovary, (2) oligomenorrhea + hyperandrogenism, (3) oligomenorrhea + polycystic ovary and (4) hyperandrogenism + polycystic ovary.Participants/materials, Settings, Methods: Genomic DNA was genotyped for the PCOS susceptibility loci using the HumanOmni1-Quad v1 array. Venous blood was drawn in the early follicular phase to measure baseline metabolic and hormonal parameters. A GRS was calculated by summing the number of risk alleles from 11 single-nucleotide polymorphisms (SNPs) that were identified in previous GWASs on PCOS. A weighted GRS (wGRS) was calculated by multiplying the number of risk alleles for each SNP by its estimated effect (beta) obtained from the association analysis.Main Results and the Role Of Chance: The GRS was higher in women with PCOS than in controls (8.8 versus 8.2, P < 0.01) and was significantly associated with PCOS after adjusting for age and BMI. An analysis of GRS quartiles (Q1 = 3-5, Q2 = 6-8, Q3 = 9-11, Q4 = 12-15) revealed that the subjects in the highest quartile showed a remarkable increased risk of PCOS compared with those in the lowest quartile (odds ratio = 6.28, P < 0.001). Free testosterone level, menstruation number per year, ovarian volume and ovarian follicle numbers were significantly associated with the GRS (in all cases, P < 0.01). The wGRS yielded similar results.Limitations, Reasons For Caution: We used 11 loci for the calculation of GRS, but a higher number of PCOS risk alleles was reported in previous studies. Therefore, further studies should assess the value of GRS including the additional SNPs related to PCOS. Although a GRS of ≥12 was significantly associated with PCOS, the GRS showed a poor predictive value; therefore, the use of genetic information based on current GWAS data only may present problems.Wider Implications Of the Findings: The GRS could be used to identify asymptomatic individuals among people at risk and stratify them into accurate risk categories for the purpose of individualizing treatment approaches, which could potentially improve health outcomes.Study Funding/competing Interests: None of the authors have any conflicts of interest to declare. No funding was obtained for the study. [ABSTRACT FROM AUTHOR]

Background: Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women of reproductive age, and it is affected by both environmental and genetic factors. Although the genetic component of PCOS is evident, studies aiming to identify susceptibility genes have shown controversial results. This study conducted a pathway-based analysis using a dataset obtained through a genome-wide association study (GWAS) to elucidate the biological pathways that contribute to PCOS susceptibility and the associated genes. Methods: We used GWAS data on 636,797 autosomal single nucleotide polymorphisms (SNPs) from 1,221 individuals (432 PCOS patients and 789 controls) for analysis. A pathway analysis was conducted using meta-analysis gene-set enrichment of variant associations (MAGENTA). Top-ranking pathways or gene sets associated with PCOS were identified, and significant genes within the pathways were analyzed. Results: The pathway analysis of the GWAS dataset identified significant pathways related to oocyte meiosis and the regulation of insulin secretion by acetylcholine and free fatty acids (all nominal gene-set enrichment analysis (GSEA) P-values < 0.05). In addition, INS, GNAQ, STXBP1, PLCB3, PLCB2, SMC3 and PLCZ1 were significant genes observed within the biological pathways (all gene P-values < 0.05). Conclusions: By applying MAGENTA pathway analysis to PCOS GWAS data, we identified significant pathways and candidate genes involved in PCOS. Our findings may provide new leads for understanding the mechanisms underlying the development of PCOS. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to explore the prevalence and pattern of the metabolic syndrome and its association with hyperinsulinemia in an urban Korean population of 269 men and 505 women.Research Design and Methods: The National Cholesterol Education Program Adult Treatment Panel (ATP) III guidelines were used to calculate the sex-specific prevalence of the metabolic syndrome. After excluding individuals taking medication for hypertension, diabetes, or dyslipidemia, we used factor analysis to examine the pattern of the metabolic syndrome in 206 men and 449 women.Results: The prevalence of metabolic syndrome was 16.0% in men and 10.7% in women aged 30-80 years. However, ATP III criteria for central obesity are not optimal for an Asian-Pacific population; when waist circumference is reduced from 102 to 90 cm in men and 88 to 80 cm in women, the prevalence of the metabolic syndrome increased to 29.0 and 16.8%, respectively. Sex-specific factor analysis showed four factors in men (obesity, glucose intolerance, hypertension, and dyslipidemia) and three in women (obesity-hypertension, glucose intolerance, and obesity-dyslipidemia). Insulin resistance estimated from fasting insulin levels clustered with three of the four factors in men and two of the three factors in women. By ATP III or Asian-Pacific waist circumference criteria, the prevalence of the metabolic syndrome increased with increasing tertiles of insulin resistance, which was estimated by a homeostasis model assessment.Conclusions: The metabolic syndrome is common in an urban Korean population when using Asian-Pacific waist criteria. The prevalence of the metabolic syndrome increased with increasing tertiles of insulin resistance. [ABSTRACT FROM AUTHOR]

Abstract: Polycystic ovary syndrome (PCOS) is characterized by insulin resistance and consequent hyperinsulinemia. Insulin resistance also plays an important role in the metabolic syndrome (MS). We conducted a cross-sectional study to determine the prevalence of the MS in young Korean women with PCOS and whether it is associated insulin resistance. One hundred and seventeen young women with PCOS (age: 26±5, 16–39 years) were evaluated for the frequency of MS according to the modified Adult Treatment Panel III. Total testosterone (T), free T, androstenedione, dehydroepiandrosterone sulfate (DHEAS) and sex hormone binding globulin (SHBG) were measured, and insulin sensitivity was evaluated by euglycemic hyperinsulinemic clamp technique. The prevalence of MS in women with PCOS was 14.5%, nearly 3.5-fold higher than in age-matched women in Korean urban population (4.3%) [J.-Y. Oh, Y.-A. Sung, Y.S. Hong, E. Barrett-Conner, Prevalence and factor analysis of metabolic syndrome in an urban Korean population, Diabetes Care 27 (2004) 2027–2032]. The most frequently occurring component of MS was low HDL cholesterol (45%), and the least frequent was high fasting serum glucose level (0.9%). PCOS women with MS had significantly higher free T, and lower SHBG compared with those without MS. And women with MS showed significantly lower M-value and higher fasting/post-glucose load insulin levels. M-value was still significantly lower in women with MS even after the adjustment for BMI. MS is frequent in young Korean women with PCOS and it reflects more severe insulin resistance. These results suggest the importance of early and regular screening of metabolic disturbance in even young women with PCOS. [Copyright &y& Elsevier]

Abstract: Over 50% of women with polycystic ovary syndrome (PCOS) have been reported to have varying degree of insulin resistance and it may contribute to hyperandrogenism. The aim of the study is to identify whether the insulin resistance is present in non-obese Korean women with PCOS and whether the phenotype is different according to insulin sensitivity. Seventy-three non-obese (BMI<23kg/m2) women with PCOS and 34 age and BMI comparable control women with regular menstrual cycles were examined. Standard 75g OGTT was performed to determine the status of glucose tolerance. Insulin sensitivity was measured by euglycemic hyperinsulinemic clamp technique. The fasting plasma glucose (p <0.01) and post-glucose load plasma insulin (p <0.01) of women with PCOS were higher than those of controls. Glucose disposal rate (M-value) was lower in women with PCOS compared to controls (p <0.05). Insulin resistant (IR) and insulin sensitive (IS) PCOS were divided by the M-value of 25-percentile (5.5mg/kgmin) in controls. Between IR and IS groups, DHEAS (p <0.01), post-glucose load plasma insulin (p <0.05) showed differences after the adjustment for BMI. Our non-obese women with PCOS showed significant insulin resistance compared to their age and BMI comparable control subjects and their insulin resistance may contribute to hyperandrogenism especially via adrenal androgen overproduction. [Copyright &y& Elsevier]