Germline copy number variants and endometrial cancer risk

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<sup>-63</sup>). 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.

Authors

Institutions

Publication Details

Journal
Human Genetics
Published
2024-11-04
DOI
https://doi.org/10.1007/s00439-024-02707-9
Citations
2
Primary Topic
Genomic variations and chromosomal abnormalities
Type
article
Field-Weighted Citation Impact
1.10

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Germline copy number variants and endometrial cancer risk

Nirmala Pathmanathan, Logan C. Walker, Peter Sykes, Desmond Yip et al.
2 citations
Human Genetics
Genomic variations and chromosomal abnormalities
1.10
article

Germline copy number variants and endometrial cancer risk

Nirmala Pathmanathan, Logan C. Walker, Peter Sykes, Desmond Yip, Emma Tham, Rodney J. Scott, Helena Jernström, Thilo Dörk, Frédéric Amant, Dylan M. Glubb, Joe Dennis, Andrew N. Shelling, Rudolf Kaaks, Peter T. Simpson, Michelle Wilson, Alison M. Dunning, Kamila Czene, Ian Tomlinson, Alison J. Davis, Mythily Sachchithananthan, Wout De Wispelaere, Kyriaki Michailidou, Daniela Annibali, Cassie E. Stylianou, Esther M. John, Deborah J. Marsh, Christine L. Clarke, Jennifer Stone, Nadia Obi, Olivia Fletcher, Tracy A. O’Mara, Montserrat García‐Closas, George A. R. Wiggins, J Dinny Graham, Melissa C. Southey, Qin Wang, Reiner Hoppe, Diether Lambrechts, Jane Carpenter, Peter A. Fasching, V. Lau, Amanda B. Spurdle, Paul D. P. Pharoah, Ellen L. Goode, Robert Baxter, Fergus J. Couch, Douglas F. Easton, Manjeet K. Bolla, Rodney Scott
article en
2 citations

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<sup>-63</sup>). 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.

Human GeneticsVol. 143(12)
Cedars-Sinai Medical Center (US), Karolinska University Hospital (SE), Institute of Cancer Research (GB), University of Auckland (NZ), Universität Hamburg (DE), The University of Melbourne (AU), The University of Western Australia (AU), German Cancer Research Center (DE), Lund University (SE), Cancer Council Victoria (AU), QIMR Berghofer Medical Research Institute (AU), Heidelberg University (DE), University of Cambridge (GB), Breast Cancer Now (GB), John Hunter Hospital (AU), Auckland City Hospital (NZ), Karolinska Institutet (SE), Medizinische Hochschule Hannover (DE), University of Oxford (GB), Hunter Medical Research Institute (AU), Universitätsklinikum Erlangen (DE), Cancer Research UK Cambridge Center (GB), VIB-KU Leuven Center for Cancer Biology (BE), University Medical Center Hamburg-Eppendorf (DE), Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology (DE), Monash Health (AU), Mayo Clinic in Arizona (US), Mayo Clinic in Florida (US), Comprehensive Cancer Center Erlangen (DE), Cyprus Institute of Neurology and Genetics (CY), Monash University (AU), University of Newcastle Australia (AU), University of Otago (NZ), University of Tübingen (DE), KU Leuven (BE)
Deutsches Krebsforschungszentrum, Genome Canada, Fondation du cancer du sein du Québec, Government of Canada, Cancer Research UK, National Institute for Health and Care Research, Department of Health and Social Care, European Commission, National Breast Cancer Foundation, Cancer Institute NSW, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Fonds Wetenschappelijk Onderzoek, Deutsche Gesetzliche Unfallversicherung, Deutsche Krebshilfe, National Institutes of Health, Canadian Institutes of Health Research, Medical Research Council, National Health and Medical Research Council, Cancer Council Western Australia, Health Research Council of New Zealand, NIHR Cambridge Biomedical Research Centre, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 18%
Genomic variations and chromosomal abnormalities
1.10
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.