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Genetic insights into biological mechanisms governing human ovarian ageing

  • Katherine S. Ruth
  • , Felix R. Day
  • , China Kadoorie Biobank Collaborative Group
  • , kConFab Investigators
  • , The LifeLines Cohort Study
  • , The InterAct consortium
  • , 23andMe Inc.
  • , the Biobank-based Integrative Omics Study (BIOS) Consortium
  • , eQTLgen Consortium
  • , The Biobank Japan Project
  • , Jazib Hussain
  • , Ana Martínez-Marchal
  • , Catherine E. Aiken
  • , Ajuna Azad
  • , Deborah J. Thompson
  • , Lucie Knoblochova
  • , Hironori Abe
  • , Jane L. Tarry-Adkins
  • , Javier Martin Gonzalez
  • , Pierre Fontanillas
  • Annique Claringbould, Olivier B. Bakker, Patrick Sulem, Robin G. Walters, Chikashi Terao, Sandra Turon, Momoko Horikoshi, Kuang Lin, N. Charlotte Onland-Moret, Aditya Sankar, Emil Peter Thrane Hertz, Pascal N. Timshel, Vallari Shukla, Rehannah Borup, Kristina W. Olsen, Paula Aguilera, Mònica Ferrer-Roda, Yan Huang, Stasa Stankovic, Paul R.H.J. Timmers, Thomas U. Ahearn, Behrooz Z. Alizadeh, Elnaz Naderi, Irene L. Andrulis, Alice M. Arnold, Linda Broer, Jouke J. Hottenga, Mohammad A. Ikram, Peter Kraft, Joop S.E. Laven, Simin Liu, Raymond Noordam, Joyce B.J. van Meurs, Alexander Teumer, André G. Uitterlinden, Wei Zhao, Jenny A. Visser, John R.B. Perry
  • Peter Maccallum Cancer Centre
  • University of Melbourne
  • University of Exeter Medical School
  • University of Copenhagen
  • Autonomous University of Barcelona
  • University of Cambridge
  • Czech Academy of Sciences
  • Charles University
  • Cincinnati Children's Hospital Medical Center
  • 23andMe Inc.
  • European Molecular Biology Laboratory
  • University Medical Centre Groningen
  • deCODE Genetics
  • University of Oxford
  • RIKEN
  • Shizuoka General Hospital
  • University of Shizuoka
  • University Medical Centre Utrecht
  • Copenhagen University Hospital (Nordvest)
  • CSIC
  • University of Cambridge School of Clinical Medicine
  • University of Edinburgh
  • National Cancer Institute (Bethesda, Md)
  • Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital
  • University of Toronto
  • University of Washington

Research output: Contribution to journalArticleAcademicpeer-review

338 Citations (Scopus)

Abstract

Reproductive longevity is essential for fertility and influences healthy ageing in women1,2, but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations3. The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease.

Original languageEnglish
Pages (from-to)393-397
Number of pages5
JournalNature
Volume596
Issue number7872
Early online date4 Aug 2021
DOIs
Publication statusPublished - 19 Aug 2021

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature Limited.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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