| Title: |
Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions. |
| Authors: |
Dareng, Eileen; Dareng, Eileen; Coetzee, Simon; Tyrer, Jonathan; Peng, Pei-Chen; Rosenow, Will; Chen, Stephanie; Davis, Brian; Dezem, Felipe; Seo, Ji-Heui; Nameki, Robbin; Reyes, Alberto; Aben, Katja; Anton-Culver, Hoda; Antonenkova, Natalia; Aravantinos, Gerasimos; Bandera, Elisa; Beane Freeman, Laura; Beckmann, Matthias; Beeghly-Fadiel, Alicia; Benitez, Javier; Bernardini, Marcus; Bjorge, Line; Black, Amanda; Bogdanova, Natalia; Bolton, Kelly; Brenton, James; Budzilowska, Agnieszka; Butzow, Ralf; Cai, Hui; Campbell, Ian; Cannioto, Rikki; Chang-Claude, Jenny; Chanock, Stephen; Chen, Kexin; Chenevix-Trench, Georgia; Chiew, Yoke-Eng; Cook, Linda; DeFazio, Anna; Dennis, Joe; Doherty, Jennifer; Dörk, Thilo; du Bois, Andreas; Dürst, Matthias; Eccles, Diana; Ene, Gabrielle; Fasching, Peter; Flanagan, James; Fortner, Renée; Fostira, Florentia; Gentry-Maharaj, Aleksandra; Giles, Graham; Goodman, Marc; Gronwald, Jacek; Haiman, Christopher; Håkansson, Niclas; Heitz, Florian; Hildebrandt, Michelle; Høgdall, Estrid; Høgdall, Claus; Huang, Ruea-Yea; Jensen, Allan; Jones, Michael; Kang, Daehee; Karlan, Beth; Karnezis, Anthony; Kelemen, Linda; Kennedy, Catherine; Khusnutdinova, Elza; Kiemeney, Lambertus; Kjaer, Susanne; Kupryjanczyk, Jolanta; Labrie, Marilyne; Lambrechts, Diether; Larson, Melissa; Le, Nhu; Lester, Jenny; Li, Lian; Lubiński, Jan; Lush, Michael; Marks, Jeffrey; Matsuo, Keitaro; May, Taymaa; McLaughlin, John; McNeish, Iain; Menon, Usha; Missmer, Stacey; Modugno, Francesmary; Moffitt, Melissa; Monteiro, Alvaro; Moysich, Kirsten; Narod, Steven; Nguyen-Dumont, Tu; Odunsi, Kunle; Olsson, Håkan; Onland-Moret, N; Park, Sue; Pejovic, Tanja; Permuth, Jennifer; Piskorz, Anna; Prokofyeva, Darya |
| Source: |
American Journal of Human Genetics; vol 111, iss 6 |
| Publisher Information: |
eScholarship, University of California 2024-06-06 |
| Document Type: |
Electronic Resource |
| Abstract: |
To identify credible causal risk variants (CCVs) associated with different histotypes of epithelial ovarian cancer (EOC), we performed genome-wide association analysis for 470,825 genotyped and 10,163,797 imputed SNPs in 25,981 EOC cases and 105,724 controls of European origin. We identified five histotype-specific EOC risk regions (p value |
| Index Terms: |
GWAS; epithelial ovarian cancer risk; fine mapping; functional mechanisms; Humans; Female; Genome-Wide Association Study; Polymorphism; Single Nucleotide; Ovarian Neoplasms; Genetic Predisposition to Disease; Carcinoma; Ovarian Epithelial; Transcriptome; Risk Factors; Genomics; Case-Control Studies; Multiomics; article |
| URL: |
https://escholarship.org/uc/item/59f7n5vk; https://escholarship.org/content/qt59f7n5vk/qt59f7n5vk.pdf |
| Availability: |
Open access content. Open access content; public |
| Note: |
application/pdf; American Journal of Human Genetics vol 111, iss 6 |
| Other Numbers: |
CDLER oai:escholarship.org:ark:/13030/qt59f7n5vk; qt59f7n5vk; https://escholarship.org/uc/item/59f7n5vk; https://escholarship.org/content/qt59f7n5vk/qt59f7n5vk.pdf; info:doi/10.1016/j.ajhg.2024.04.011; https://escholarship.org/; 1490373532 |
| Contributing Source: |
UC MASS DIGITIZATION; From OAIster®, provided by the OCLC Cooperative. |
| Accession Number: |
edsoai.on1490373532 |
| Database: |
OAIster |