Cross-Cancer Genome-Wide Association Study of Endometrial Cancer and Epithelial Ovarian Cancer Identifies Genetic Risk Regions Associated with Risk of Both Cancers

Dylan M. Glubb, Deborah J. Thompson, Katja K.H. Aben, Ahmad Alsulimani, Frederic Amant, Daniela Annibali, John Attia, Aurelio Barricarte, Matthias W. Beckmann, Andrew Berchuck, Marina Bermisheva, Marcus Q. Bernardini, Katharina Bischof, Line Bjorge, Clara Bodelon, Alison H. Brand, James D. Brenton, Louise A. Brinton, Fiona Bruinsma, Daniel D. BuchananStefanie Burghaus, Ralf Butzow, Hui Cai, Michael E. Carney, Stephen J. Chanock, Chu Chen, Xiao Qing Chen, Zhihua Chen, Linda S. Cook, Julie M. Cunningham, Immaculata De Vivo, Anna deFazio, Jennifer A. Doherty, Thilo Dörk, Andreas du Bois, Alison M. Dunning, Matthias Dürst, Todd Edwards, Robert P. Edwards, Arif B. Ekici, Ailith Ewing, Peter A. Fasching, Sarah Ferguson, James M. Flanagan, Florentia Fostira, George Fountzilas, Christine M. Friedenreich, Bo Gao, Mia M. Gaudet, Jan Gawełko, Aleksandra Gentry-Maharaj, Graham G. Giles, Rosalind Glasspool, Marc T. Goodman, Jacek Gronwald, Holly R. Harris, Philipp Harter, Alexander Hein, Florian Heitz, Michelle A.T. Hildebrandt, Peter Hillemanns, Estrid Høgdall, Claus K. Høgdall, Elizabeth G. Holliday, David G. Huntsman, Tomasz Huzarski, Anna Jakubowska, Allan Jensen, Michael E. Jones, Beth Y. Karlan, Anthony Karnezis, Joseph L. Kelley, Elza Khusnutdinova, Jeffrey L. Killeen, Susanne K. Kjaer, Rüdiger Klapdor, Martin Köbel, Bozena Konopka, Irene Konstantopoulou, Reidun K. Kopperud, Madhuri Koti, Peter Kraft, Jolanta Kupryjanczyk, Diether Lambrechts, Melissa C. Larson, Loic Le Marchand, Shashikant Lele, Jenny Lester, Andrew J. Li, Dong Liang, Clemens Liebrich, Loren Lipworth, Jolanta Lissowska, Lingeng Lu, Karen H. Lu, Alessandra Macciotta, Amalia Mattiello, Taymaa May, Jessica N. McAlpine, Valerie McGuire, Iain A. McNeish, Usha Menon, Francesmary Modugno, Kirsten B. Moysich, Heli Nevanlinna, Kunle Odunsi, Håkan Olsson, Sandra Orsulic, Ana Osorio, Domenico Palli, Tjoung Won Park-Simon, Celeste L. Pearce, Tanja Pejovic, Jennifer B. Permuth, Agnieszka Podgorska, Susan J. Ramus, Timothy R. Rebbeck, Marjorie J. Riggan, Harvey A. Risch, Joseph H. Rothstein, Ingo B. Runnebaum, Rodney J. Scott, Thomas A. Sellers, Janine Senz, Veronica Wendy Setiawan, Nadeem Siddiqui, Weiva Sieh, Beata Spiewankiewicz, Rebecca Sutphen, Anthony J. Swerdlow, Lukasz Michael Szafron, Soo Hwang Teo, Pamela J. Thompson, Liv Cecilie Vestrheim Thomsen, Linda Titus, Alicia Tone, Rosario Tumino, Constance Turman, Adriaan Vanderstichele, Digna Velez Edwards, Ignace Vergote, Robert A. Vierkant, Zhaoming Wang, Shan Wang-Gohrke, Penelope M. Webb, for the OPAL study group and for the AOCS Group, Emily White, Alice S. Whittemore, Stacey J. Winham, Xifeng Wu, Anna H. Wu, Drakoulis Yannoukakos, Amanda B. Spurdle, Tracy A. O'Mara

Research output: Contribution to journalArticleResearchpeer-review

12 Citations (Scopus)

Abstract

BACKGROUND: Accumulating evidence suggests a relationship between endometrial cancer and ovarian cancer. Independent genome-wide association studies (GWAS) for endometrial cancer and ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. We aimed to identify joint endometrial and ovarian cancer risk loci by performing a meta-analysis of GWAS summary statistics from these two cancers. METHODS: Using LDScore regression, we explored the genetic correlation between endometrial cancer and ovarian cancer. To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e., inverse-variance meta-analysis, colocalization, and M-values) and performed analyses stratified by subtype. Candidate target genes were then prioritized using functional genomic data. RESULTS: Genetic correlation analysis revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10-5). We found seven loci associated with risk for both cancers (PBonferroni < 2.4 × 10-9). In addition, four novel subgenome-wide regions at 7p22.2, 7q22.1, 9p12, and 11q13.3 were identified (P < 5 × 10-7). Promoter-associated HiChIP chromatin loops from immortalized endometrium and ovarian cell lines and expression quantitative trait loci data highlighted candidate target genes for further investigation. CONCLUSIONS: Using cross-cancer GWAS meta-analysis, we have identified several joint endometrial and ovarian cancer risk loci and candidate target genes for future functional analysis. IMPACT: Our research highlights the shared genetic relationship between endometrial cancer and ovarian cancer. Further studies in larger sample sets are required to confirm our findings.

Original languageEnglish
Pages (from-to)217-228
Number of pages12
JournalCancer Epidemiology, Biomarkers and Prevention
Volume30
Issue number1
DOIs
Publication statusPublished - Jan 2021

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