POLYCYSTIC OVARY SYNDROME: ORIGINS AND IMPLICATIONS: Genetics of polycystic ovary syndrome (PCOS)

Polycystic ovary syndrome (PCOS) is a common and heterogeneous disorder currently diagnosed only in reproductive-age women. Familial clustering and twin studies have provided strong evidence for a genetic contribution to PCOS pathogenesis. First-degree relatives, including males and non-reproductive-age females, have reproductive and metabolic phenotypes consistent with a genetic susceptibility to these traits. PCOS is now recognized as a complex trait influenced by both genetic and environmental factors. Genome-wide association studies have identified ∼30 loci linked to PCOS, implicating pathways involved in gonadotropin secretion and action, folliculogenesis, steroidogenesis, age at menopause, and carbohydrate metabolism. Next-generation sequencing has found rare variants in AMH, AMHR2, and DENND1A, supporting these genes' central role in developing PCOS. Epigenetic mechanisms, such as DNA methylation and non-coding RNAs, influence gene regulation and may contribute to phenotypic heterogeneity. Unsupervised clustering has identified distinct reproductive and metabolic subtypes with unique genetic architectures, providing a biologically meaningful framework for classification. This shift from expert opinion-based diagnosis to data-driven classification has the potential to transform PCOS management and enable precision medicine approaches tailored to distinct subtypes of the disorder.

Authors

Institutions

Publication Details

Journal
Reproduction
Published
2025-08-22
DOI
https://doi.org/10.1530/rep-25-0126
Citations
6
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
10.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

POLYCYSTIC OVARY SYNDROME: ORIGINS AND IMPLICATIONS: Genetics of polycystic ovary syndrome (PCOS)

Andrea Dunaif, Joop S.E. Laven, Yvonne V. Louwers, Jenny A. Visser
6 citations
Reproduction
Ovarian function and disorders
10.19
article

POLYCYSTIC OVARY SYNDROME: ORIGINS AND IMPLICATIONS: Genetics of polycystic ovary syndrome (PCOS)

Andrea Dunaif, Joop S.E. Laven, Yvonne V. Louwers, Jenny A. Visser
article en
6 citations

Abstract

Polycystic ovary syndrome (PCOS) is a common and heterogeneous disorder currently diagnosed only in reproductive-age women. Familial clustering and twin studies have provided strong evidence for a genetic contribution to PCOS pathogenesis. First-degree relatives, including males and non-reproductive-age females, have reproductive and metabolic phenotypes consistent with a genetic susceptibility to these traits. PCOS is now recognized as a complex trait influenced by both genetic and environmental factors. Genome-wide association studies have identified ∼30 loci linked to PCOS, implicating pathways involved in gonadotropin secretion and action, folliculogenesis, steroidogenesis, age at menopause, and carbohydrate metabolism. Next-generation sequencing has found rare variants in AMH, AMHR2, and DENND1A, supporting these genes' central role in developing PCOS. Epigenetic mechanisms, such as DNA methylation and non-coding RNAs, influence gene regulation and may contribute to phenotypic heterogeneity. Unsupervised clustering has identified distinct reproductive and metabolic subtypes with unique genetic architectures, providing a biologically meaningful framework for classification. This shift from expert opinion-based diagnosis to data-driven classification has the potential to transform PCOS management and enable precision medicine approaches tailored to distinct subtypes of the disorder.

ReproductionVol. 170(5)
Erasmus MC (NL), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 2%
Ovarian function and disorders
10.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.