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.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Abstract
Obesity-related hypogonadotropic hypogonadism is a well-characterized condition in men (termed male obesity-related secondary hypogonadism; MOSH); however, an equivalent condition has not ...been as clearly described in women. The prevalence of polycystic ovary syndrome (PCOS) is known to increase with obesity, but PCOS is more typically characterized by increased gonadotropin-releasing hormone (GnRH) (and by proxy luteinizing hormone; LH) pulsatility, rather than by the reduced gonadotropin levels observed in MOSH. Notably, LH levels and LH pulse amplitude are reduced with obesity, both in women with and without PCOS, suggesting that an obesity-related secondary hypogonadism may also exist in women akin to MOSH in men. Herein, we examine the evidence for the existence of a putative non-PCOS “female obesity-related secondary hypogonadism” (FOSH). We précis possible underlying mechanisms for the occurrence of hypogonadism in this context and consider how such mechanisms differ from MOSH in men, and from PCOS in women without obesity. In this review, we consider relevant etiological factors that are altered in obesity and that could impact on GnRH pulsatility to ascertain whether they could contribute to obesity-related secondary hypogonadism including: anti-Müllerian hormone, androgen, insulin, fatty acid, adiponectin, and leptin. More precise phenotyping of hypogonadism in women with obesity could provide further validation for non-PCOS FOSH and preface the ability to define/investigate such a condition.
Graphical Abstract
Graphical Abstract
Abstract
STUDY QUESTION
What are the key core outcomes to be reported in studies on polycystic ovary syndrome (PCOS)?
SUMMARY ANSWER
We identified 3 generic and 30 specific core outcomes in 6 ...specialist domains: metabolic (8), reproductive (7), pregnancy (10), oncological (1), psychological (1) and long-term outcomes (1).
WHAT IS KNOWN ALREADY
Research reporting PCOS is heterogeneous with high variation in outcome selection, definition and quality.
STUDY DESIGN, SIZE, DURATION
Evidence synthesis and a modified Delphi method with e-surveys were used as well as a consultation meeting.
PARTICIPANTS/MATERIALS, SETTING, METHODS
Overall, 71 health professionals and 123 lay consumers (women with lived experience of PCOS and members of advocacy and peer support groups) from 17 high-, middle- and low-income countries were involved in this analysis.
MAIN RESULTS AND THE ROLE OF CHANCE
The final core outcome set included 3 generic outcomes (BMI, quality of life, treatment satisfaction) that are applicable to all studies on women with PCOS and 30 specific outcomes that were categorised into six specialist domains: 8 metabolic outcomes (waist circumference, type 2 diabetes, insulin resistance, impaired glucose tolerance, hypertension, coronary heart disease, lipid profile, venous thromboembolic disease); 7 reproductive outcomes viable pregnancy (confirmed by ultrasound including singleton, twins and higher multiples), clinical and biochemical hyperandrogenism, menstrual regularity, reproductive hormonal profile, chronic anovulation, ovulation stimulation success including the number of stimulated follicles ≥ 12 mm, incidence and severity of ovarian hyperstimulation syndrome; 10 pregnancy outcomes (live birth, miscarriage, stillbirth, neonatal mortality, gestational weight gain, gestational diabetes, preterm birth, hypertensive disease in pregnancy, baby birth weight, major congenital abnormalities); 3 psychological outcomes (depression, anxiety, eating disorders); 1 oncological (abnormal endometrial proliferation including atypical endometrial hyperplasia and endometrial cancer); and 1 outcome in the long-term domain (long-term offspring metabolic and developmental outcomes).
LIMITATIONS, REASONS FOR CAUTION
We involved lay consumers in all stages of study through e-surveys but not through focus groups, thereby limiting our understanding of their choices. We did not address the variations in the definitions and measurement tools for some of the core outcomes.
WIDER IMPLICATIONS OF THE FINDINGS
Implementing this core outcome set in future studies on women with PCOS will improve the quality of reporting and aid evidence synthesis.
STUDY FUNDING/COMPETING INTEREST(S)
Evidence synthesis was funded through the Australian government, National Health and Medical Research Council (NHMRC) Centre for Research Excellence in PCOS, and H.T. is funded through an NHMRC fellowship. B.H.A. is funded through an NIHR lectureship. All authors have no competing interest to declare.
Summary
Objective To summarize promising areas of investigation into polycystic ovary syndrome (PCOS) and to stimulate further research in this area.
Design Summary of a conference held by ...international researchers in the field of polycystic ovary syndrome.
Results Potential areas of further research activity include the analysis of predisposing conditions that increase the risk of PCOS, particularly genetic background and environmental factors, such as endocrine disruptors and lifestyle. The concept that androgen excess may contribute to insulin resistance needs to be re‐examined from a developmental perspective, since animal studies have supported the hypothesis that early exposure to modest androgen excess is associated with insulin resistance. Defining alterations of steroidogenesis in PCOS should quantify ovarian, adrenal and extraglandular contribution, as well as clearly define blood reference levels by some universal standard. Intraovarian regulation of follicle development and mechanisms of follicle arrest should be further elucidated. Finally, PCOS status is expected to have long‐term consequences in women, specifically the development of type 2 diabetes, cardiovascular diseases and hormone dependent cancers. Identifying susceptible individuals through genomic and proteomic approaches would help to individualize therapy and prevention.
Conclusions There are several intriguing areas for future research in PCOS. A potential limitation of our review is that we focused selectively on areas we viewed as the most controversial.
ABSTRACT
Investing in clinical research and evidence-based medicine has helped to improve the care for women with polycystic ovary syndrome (PCOS). However, several important questions remain ...unanswered on the optimal prevention and management strategies for PCOS. Addressing this uncertainty is often hindered by suboptimal research conduct leading to inefficient evidence synthesis and research wastage. PCOS research is often practised by varied specialized teams in silo leading to disharmonious and fragmented efforts neglecting the lifelong impact of PCOS on women’s wellbeing. Poor engagement among key stakeholders and lay consumers continues to limit the impact and benefits of research to society. Selective reporting on surrogate outcomes with a ‘significant’ P-value is a common malpractice in PCOS outputs. Effective adoption of the harmonizing research outcomes for PCOS (HARP) core outcome set is needed to minimize heterogeneity in reporting and promote research excellence. Small single-centre studies offer limited value to assess the varied PCOS phenotypes. Efficient large scale data-sharing is needed to address complex research questions and glean the benefits of big data research. We propose a roadmap to address these challenges and remedy future research need by promoting patient and public involvement in PCOS research to guide research efforts and address real patients’ needs; engaging all key stakeholder groups to promote a multi-disciplinary lifelong approach to new research; continuously refining research needs and priorities to revise the knowledge gap and allocate resources judiciously; standardizing outcomes definitions and measurement tools to harmonize reporting and promote excellence in research; and by investing in large data-sharing infrastructure to facilitate big data research and govern ethical data sharing.
Abstract
Context
As many as 75% of patients with polycystic ovary syndrome (PCOS) are estimated to be unidentified in clinical practice.
Objective
Utilizing polygenic risk prediction, we aim to ...identify the phenome-wide comorbidity patterns characteristic of PCOS to improve accurate diagnosis and preventive treatment.
Design, Patients, and Methods
Leveraging the electronic health records (EHRs) of 124 852 individuals, we developed a PCOS risk prediction algorithm by combining polygenic risk scores (PRS) with PCOS component phenotypes into a polygenic and phenotypic risk score (PPRS). We evaluated its predictive capability across different ancestries and perform a PRS-based phenome-wide association study (PheWAS) to assess the phenomic expression of the heightened risk of PCOS.
Results
The integrated polygenic prediction improved the average performance (pseudo-R2) for PCOS detection by 0.228 (61.5-fold), 0.224 (58.8-fold), 0.211 (57.0-fold) over the null model across European, African, and multi-ancestry participants respectively. The subsequent PRS-powered PheWAS identified a high level of shared biology between PCOS and a range of metabolic and endocrine outcomes, especially with obesity and diabetes: “morbid obesity”, “type 2 diabetes”, “hypercholesterolemia”, “disorders of lipid metabolism”, “hypertension”, and “sleep apnea” reaching phenome-wide significance.
Conclusions
Our study has expanded the methodological utility of PRS in patient stratification and risk prediction, especially in a multifactorial condition like PCOS, across different genetic origins. By utilizing the individual genome–phenome data available from the EHR, our approach also demonstrates that polygenic prediction by PRS can provide valuable opportunities to discover the pleiotropic phenomic network associated with PCOS pathogenesis.
Gestation is a crucial timepoint in human development. Deviation from a term gestational age correlates with both acute and long-term adverse health effects for the child. Both being born preterm and ...post-term, that is, having short and long gestational ages, are heritable and influenced by the prenatal and perinatal environment. Despite the obvious heritable component, specific genetic influences underlying differences in gestational age are poorly understood.
We investigated the genetic architecture of gestational age in 9141 individuals, including 1167 born post-term, across two Northern Finland cohorts born in 1966 or 1986.
Here we identify one globally significant intronic genetic variant within the
gene that is associated with prolonged gestation (p=4.85×10
). Additional variants that reached suggestive levels of significance were identified within introns at the
and
genes, and in the upstream (5') intergenic regions of the
and
genes. The variants near the
,
,
and
loci are linked to alterations in gene expression levels (cis-eQTLs). Luciferase assays confirmed the allele specific enhancer activity for the
and
loci.
Our findings provide the first evidence of a specific genetic influence associated with prolonged gestation. This study forms a foundation for a better understanding of the genetic and long-term health risks faced by induced and post-term individuals. The long-term risks for induced individuals who have a previously overlooked post-term potential may be a major issue for current health providers.
Background Genome-wide association studies for glycemic traits have identified hundreds of loci associated with these biomarkers of glucose homeostasis. Despite this success, the challenge remains to ...link variant associations to genes, and underlying biological pathways. Methods To identify coding variant associations which may pinpoint effector genes at both novel and previously established genome-wide association loci, we performed meta-analyses of exome-array studies for four glycemic traits: glycated hemoglobin (HbA1c, up to 144,060 participants), fasting glucose (FG, up to 129,665 participants), fasting insulin (FI, up to 104,140) and 2hr glucose post-oral glucose challenge (2hGlu, up to 57,878). In addition, we performed network and pathway analyses. Results Single-variant and gene-based association analyses identified coding variant associations at more than 60 genes, which when combined with other datasets may be useful to nominate effector genes. Network and pathway analyses identified pathways related to insulin secretion, zinc transport and fatty acid metabolism. HbA1c associations were strongly enriched in pathways related to blood cell biology. Conclusions Our results provided novel glycemic trait associations and highlighted pathways implicated in glycemic regulation. Exome-array summary statistic results are being made available to the scientific community to enable further discoveries.
CYP11A, the gene encoding P450scc, a key enzyme in steroid biosynthesis, is a strong biological candidate for polycystic ovary syndrome (PCOS) susceptibility. Four of the five published studies that ...have examined CYP11A for evidence of linkage and/or association have reported significant relationships with polycystic ovary (PCO) status and/or serum testosterone levels. However, study sizes have been modest, and the current study aimed to reevaluate these findings using significantly larger clinical resources. A pair of CYP11A promoter microsatellites, including the pentanucleotide (D15S520) previously implicated in trait susceptibility, were genotyped in 371 PCOS patients of United Kingdom origin, using both case-control and family-based association methods, and in 1589 women from a population-based birth cohort from Finland characterized for PCO symptomatology and testosterone levels. Although nominally significant differences in allele and genotype frequencies at both loci were observed in the United Kingdom case-control study (for example, an excess of the pentanucleotide four-repeat allele in cases, P = 0.005), these findings were not substantiated in the other analyses, and no discernable relationship was seen between variation at these loci and serum testosterone levels. These studies indicate that the strength of, and indeed the existence of, associations between CYP11A promoter variation and androgen-related phenotypes has been substantially overestimated in previous studies.
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