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Germline copy number variants and endometrial cancer risk

  • Cassie E. Stylianou
  • , George A. R. Wiggins*
  • , Vanessa L. Lau
  • , Joe Dennis
  • , Andrew N. Shelling
  • , Michelle Wilson
  • , Peter Sykes
  • , Frederic Amant
  • , Daniela Annibali
  • , Wout de Wispelaere
  • , Douglas F. Easton
  • , Peter A. Fasching
  • , Dylan M. Glubb
  • , Ellen L. Goode
  • , Diether Lambrechts
  • , Paul D. P. Pharoah
  • , Rodney J. Scott
  • , Emma Tham
  • , Ian Tomlinson
  • , Manjeet K. Bolla
  • Fergus J. Couch, Kamila Czene, Thilo Dörk, Alison M. Dunning, Olivia Fletcher, Montserrat García-Closas, Reiner Hoppe, ABCTB Investigators
*Corresponding author for this work
  • University of Otago
  • University of Cambridge
  • The University of Auckland
  • Auckland District Health Board
  • KU Leuven
  • Friedrich-Alexander University Erlangen-Nürnberg
  • Queensland Institute of Medical Research
  • Mayo Clinic Rochester, MN
  • Flanders Institute for Biotechnology
  • Cedars-Sinai Medical Center
  • Hunter New England Health
  • University of Newcastle
  • Hunter Medical Research Institute, Australia
  • Karolinska Institutet
  • University of Oxford
  • Hannover Medical School
  • The Institute of Cancer Research
  • Robert Bosch Foundation
  • University of Tübingen
  • Lund University
  • German Cancer Research Center
  • Cyprus Institute of Neurology and Genetics
  • University of Hamburg
  • Monash University
  • University of Melbourne
  • Cancer Council Victoria
  • University of Western Australia

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Known risk loci for endometrial cancer explain approximately one third of familial endometrial cancer. However, the association of germline copy number variants (CNVs) with endometrial cancer risk remains relatively unknown. We conducted a genome-wide analysis of rare CNVs overlapping gene regions in 4115 endometrial cancer cases and 17,818 controls to identify functionally relevant variants associated with disease. We identified a 1.22-fold greater number of CNVs in DNA samples from cases compared to DNA samples from controls (p = 4.4 × 10–63). Under three models of putative CNV impact (deletion, duplication, and loss of function), genome-wide association studies identified 141 candidate gene loci associated (p < 0.01) with endometrial cancer risk. Pathway analysis of the candidate loci revealed an enrichment of genes involved in the 16p11.2 proximal deletion syndrome, driven by a large recurrent deletion (chr16:29,595,483-30,159,693) identified in 0.15% of endometrial cancer cases and 0.02% of control participants. Together, these data provide evidence that rare copy number variants have a role in endometrial cancer susceptibility and that the proximal 16p11.2 BP4-BP5 region contains 25 candidate risk gene(s) that warrant further analysis to better understand their role in human disease.

Original languageEnglish
Pages (from-to)1481-1498
Number of pages18
JournalHuman genetics
Volume143
Issue number12
Early online date2024
DOIs
Publication statusPublished - Dec 2024

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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