Cited by 479Ovarian function and disordersGenetic Associations and EpidemiologyGenetic and Kidney Cyst Diseases

Genome-wide association of polycystic ovary syndrome implicates alterations in gonadotropin secretion in European ancestry populations

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Hayes, M. Geoffrey, Urbanek, Margrit, Ehrmann, David A., Armstrong, Loren L., Lee, Ji Young, Sisk, Ryan, Karaderi, Tugce, Barber, Thomas M. +48 more·2015·Nature Communications

Abstract

Polycystic ovary syndrome (PCOS) is a common, highly heritable complex disorder of unknown aetiology characterized by hyperandrogenism, chronic anovulation and defects in glucose homeostasis. Increased luteinizing hormone relative to follicle-stimulating hormone secretion, insulin resistance and developmental exposure to androgens are hypothesized to play a causal role in PCOS. Here we map common genetic susceptibility loci in European ancestry women for the National Institutes of Health PCOS phenotype, which confers the highest risk for metabolic morbidities, as well as reproductive hormone levels. Three loci reach genome-wide significance in the case-control meta-analysis, two novel loci mapping to chr 8p23.1 [Corrected] and chr 11p14.1, and a chr 9q22.32 locus previously found in Chinese PCOS. The same chr 11p14.1 SNP, rs11031006, in the region of the follicle-stimulating hormone B polypeptide (FSHB) gene strongly associates with PCOS diagnosis and luteinizing hormone levels. These findings implicate neuroendocrine changes in disease pathogenesis.

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  • PCOS is a polygenic trait that results from an interaction between susceptible genomic variants and the environment.

    “PCOS is therefore viewed as a polygenic trait that results from an interaction between susceptible genomic variants and the environment.”

    From Polycystic Ovary Syndrome: An Evolutionary Adaptation to Lifestyle and the Environment (2022) · cites this paper as [88]

    The Discussion (page unavailable) describes PCOS as a complex genetic disease and reports multiple susceptibility loci with small individual effects, supporting the polygenic part of the claim. Our copy does not state that PCOS results from an interaction between those variants and the environment; its discussion of other contributors to heritability does not establish that interaction. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • The first GWAS analysis of quantitative traits was published in 2015 and showed that variant rs11031006 was associated with luteinizing hormone levels.

    “The first GWAS analysis of quantitative traits was published in 2015 and showed that a variant (rs11031006) was associated with luteinizing hormone levels [88].”

    From Polycystic Ovary Syndrome: An Evolutionary Adaptation to Lifestyle and the Environment (2022) · cites this paper as [88]

    The Results (Quantitative trait analysis; page unavailable) report that rs11031006 was associated with luteinizing hormone levels in the study’s GWAS of women with PCOS. The copy does not establish that this was the first GWAS analysis of quantitative traits; the Discussion describes an earlier GWAS of quantitative hormone levels in men. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Decades of genetic research has characterized PCOS as a polygenic trait that results from interactions between the environment and susceptible genomic traits.

    “Decades of genetic research has therefore characterized PCOS as a polygenic trait that results from interactions between the environment and susceptible genomic traits [27,29,79,88].”

    From Polycystic Ovary Syndrome: An Evolutionary Adaptation to Lifestyle and the Environment (2022) · cites this paper as [88]

    The Discussion (page not supplied) describes PCOS as a complex genetic disease and reports multiple susceptibility loci with small effects, supporting its characterization as polygenic. The cited passages do not establish that PCOS results from interactions between environmental factors and susceptible genomic traits. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Similarities in IR may be related to genetic variations that are preserved across NIH and Rotterdam criteria, suggesting a homogenous disease origin linked to insulin-related genes.

    “Similarities in IR may be related to genetic variations that are preserved across these criteria (Chen et al., 2011;Day et al., 2015;Hayes et al., 2015), suggesting a homogenous disease origin linked to insulin-related genes (Shi et al., 2012).”

    From Insulin resistance in polycystic ovary syndrome: a systematic review and meta-analysis of euglycaemic–hyperinsulinaemic clamp studies (2016) · cites this paper as Hayes et al., 2015

    The Discussion (page unavailable) reports a PCOS susceptibility locus found in both the NIH-phenotype cohort and a Chinese cohort that included additional Rotterdam phenotypes. It does not link that shared locus to similarities in insulin resistance (IR); it says the NIH phenotype has the highest IR risk and emphasizes gonadotropin-related genes. The sentence cites Shi et al., not Hayes et al., for the separate suggestion about insulin-related genes. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Recent genetic analyses have found the same PCOS susceptibility loci in self-reported and rigorously diagnosed women with PCOS.

    “However, recent genetic analyses have found the same PCOS susceptibility loci in self-reported and rigorously diagnosed women with PCOS (38, 39).”

    From Delayed Diagnosis and a Lack of Information Associated With Dissatisfaction in Women With Polycystic Ovary Syndrome (2016) · cites this paper as [38]

    The Methods (Subjects; page unavailable) state that the PCOS cases met NIH diagnostic criteria, and the Discussion (page unavailable) identifies susceptibility loci found in those cases. Our copy does not compare those loci with loci in women whose PCOS was self-reported, so it does not establish the claimed overlap. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

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Authors
Hayes, M. G., Urbanek, M., Ehrmann, D. A., Armstrong, L. L., Lee, J. Y., Sisk, R., Karaderi, T., Barber, T. M., McCarthy, M. I., Franks, S., Lindgren, C. M., Welt, C. K., Diamanti-Kandarakis, E., Panidis, D., Goodarzi, M. O., Azziz, R., Zhang, Y., James, R. G., Olivier, M., Kissebah, A. H., Reproductive Medicine Network, Alvero, R., Barnhart, H. X., Baker, V., Barnhart, K. T., Bates, G. W., Brzyski, R. G., Carr, B. R., Carson, S. A., Casson, P., Cataldo, N. A., Christman, G., Coutifaris, C., Diamond, M. P., Eisenberg, E., Gosman, G. G., Giudice, L. C., Haisenleder, D. J., Huang, H., Krawetz, S. A., Lucidi, S., McGovern, P. G., Myers, E. R., Nestler, J. E., Ohl, D., Santoro, N., Schlaff, W. D., Snyder, P., Steinkampf, M. P., Trussell, J. C., Usadi, R., Yan, Q., Zhang, H., Stener-Victorin, E., Legro, R. S., & Dunaif, A.
Affiliations
  • Northwestern University (US)
  • University of Chicago (US)
  • Centre for Human Genetics (GB)
  • University of Warwick (GB)
  • Hammersmith Hospital (GB)
  • Broad Institute (US)
  • University of Utah (US)
  • Aristotle University of Thessaloniki (GR)
  • Cedars-Sinai Medical Center (US)
  • Augusta University (US)
  • Medical College of Wisconsin (US)
  • Texas Biomedical Research Institute (US)
  • University of Colorado Anschutz (US)
  • Duke University (US)
  • Stanford Medicine (US)
  • University of Alabama at Birmingham (US)
  • The University of Texas at San Antonio Health Science Center (US)
  • Baylor College of Medicine (US)
  • University of Vermont (US)
  • University of Michigan (US)
  • Wayne State University (US)
  • National Institutes of Health (US)
  • University of Pittsburgh (US)
  • University of California, San Francisco (US)
  • Yale University (US)
  • Virginia Commonwealth University (US)
  • SUNY Upstate Medical University (US)
  • Carolinas Medical Center (US)
Corresponding author
Hayes, M. Geoffrey
Venue
Nature Communications
Published
2015-08-18
Volume
6
Issue
1
Pages
10762-10762
ISSN
2041-1723 (ISSN-L)
OpenAlex
W1128977061
Cited by
478
References
72
Citations by year
2026: 23 · 2025: 33 · 2024: 49 · 2023: 90 · 2022: 45 · 2021: 32 · 2020: 42 · 2019: 49 · 2018: 36 · 2017: 34 · 2016: 36 · 2015: 6 · 2014: 1
FWCI
42.57
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • Spiral (Imperial College London) (submittedVersion, cc-by)
Funders
  • American Diabetes Association (1-10-CT-57)
  • Yale University
  • Wayne State University
  • University of Pennsylvania
  • University of Chicago (UL1 TR000430)
  • Pennsylvania State University
  • University of Virginia (U54-HD28934)
  • University of Texas at San Antonio
  • Wellcome Trust (098381, 086596, WTCCC2, 090532)
  • National Institute for Health and Care Research (NF-SI-0611-10099)
  • Novo Nordisk Fonden (NNF15OC0015902)
  • National Institutes of Health (UL1TR000127, UL1TR000430, UL1TR000150, U54-HD28-934, HD34449, RR025758, HD044405, DK20595, HD28934, TR000430)
  • Penn State College of Medicine
  • Medical Research Council (MR/M012638/1, G0802782)
  • National Heart, Lung, and Blood Institute (R01HL075079)
  • National Institute of Diabetes and Digestive and Kidney Diseases (R01DK065598, DK 20595, R01 DK65598, P60DK020595, R01DK071895, P30DK063491, P30DK020595)
  • National Institute of Environmental Health Sciences (P30ES013508)
  • National Institute of Child Health and Human Development (U54-HD28934, HD057450, U10 HD38992, U10 HD39005, U10 HD27049, U10 HD38998, HD055944, HD044405, U54 HD34449)
  • National Center for Research Resources (UL1RR025758, UL1RR033184)
  • National Center for Advancing Translational Sciences
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD057796, U10HD27049, U10HD039005, U54-HD34449, K24HD001346, U10-HD38992, HD-34449, U10-HD39005, HD38992, P50HD044405, U10HD038998, HD29364, P50HD057796, U10HD055942, R01HD029364, HD055942, R01HD065029, R01HD057450, HD38998, HD-28934, HD044405, HD39005, HD055936, K24 HD 01346, U10-HD38998, U10HD055925, R01HD057223, HD055925, HD055944, U54HD028934, U10HD027049, U54HD034449, R01-HD29364, U10HD055944, U10HD038992, P50HD028934, R01HD056510, HD27049, U10HD055936, U54-HD-28934)
Topics
  • Health Sciences › Medicine › Reproductive Medicine › Ovarian function and disorders
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and Kidney Cyst Diseases
Keywords
polycystic ovary syndrome, genetic susceptibility loci, gonadotropin secretion, luteinizing hormone, follicle-stimulating hormone, insulin resistance, hyperandrogenism, anovulation, glucose homeostasis, European ancestry women, neuroendocrine regulation
MeSH terms
Adolescent, Adult, Female, Gene Expression Regulation, Humans, Middle Aged, Polycystic Ovary Syndrome, Case-Control Studies, Polymorphism, Single Nucleotide, Quantitative Trait Loci, White People, Genome-Wide Association Study, Young Adult

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