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首页|Family-based quantitative trait meta-analysis implicates rare noncoding variants in DENND1A in pathogenesis of polycystic ovary syndrome

Family-based quantitative trait meta-analysis implicates rare noncoding variants in DENND1A in pathogenesis of polycystic ovary syndrome

Family-based quantitative trait meta-analysis implicates rare noncoding variants in DENND1A in pathogenesis of polycystic ovary syndrome

来源:bioRxiv_logobioRxiv
英文摘要

ABSTRACT Polycystic ovary syndrome (PCOS) is among the most common endocrine disorders of premenopausal women, affecting 5-15% of this population depending on the diagnostic criteria applied. It is characterized by hyperandrogenism, ovulatory dysfunction and polycystic ovarian morphology. PCOS is a leading risk factor for type 2 diabetes in young women. PCOS is highly heritable, but only a small proportion of this heritability can be accounted for by the common genetic susceptibility variants identified to date. To test the hypothesis that rare genetic variants contribute to PCOS pathogenesis, we performed whole-genome sequencing on DNA from 62 families with one or more daughters with PCOS. We tested for associations of rare variants with PCOS and its concomitant hormonal traits using a quantitative trait meta-analysis. We found rare variants in DENND1A (P=5.31×10?5, Padj=0.019) that were significantly associated with reproductive and metabolic traits in PCOS families. Common variants in DENND1A have previously been associated with PCOS diagnosis in genome-wide association studies. Subsequent studies indicated that DENND1A is an important regulator of human ovarian androgen biosynthesis. Our findings provide additional evidence that DENND1A plays a central role in PCOS and suggest that rare noncoding variants contribute to disease pathogenesis.

Hayes M. Geoffrey、Legro Richard S.、Urbanek Margrit、Sisk Ryan、Dunaif Andrea、Dapas Matthew

Division of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine||Center for Genetic Medicine, Northwestern University Feinberg School of Medicine||Department of Anthropology, Northwestern UniversityDepartment of Obstetrics and Gynecology, Penn State College of MedicineDivision of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine||Center for Genetic Medicine, Northwestern University Feinberg School of Medicine||Center for Reproductive Science, Northwestern University Feinberg School of MedicineDivision of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of MedicineDivision of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount SinaiDivision of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine

10.1101/460972

妇产科学遗传学基础医学

Hayes M. Geoffrey,Legro Richard S.,Urbanek Margrit,Sisk Ryan,Dunaif Andrea,Dapas Matthew.Family-based quantitative trait meta-analysis implicates rare noncoding variants in DENND1A in pathogenesis of polycystic ovary syndrome[EB/OL].(2025-03-28)[2025-04-24].https://www.biorxiv.org/content/10.1101/460972.点此复制

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