| Title: |
Genetic data from nearly 63,000 women of European descent predicts DNA methylation biomarkers and epithelial ovarian cancer risk |
| Authors: |
Yang, Y; Wu, L; Shu, X; Lu, Y; Shu, X-O; Cai, Q; Beeghly-Fadiel, A; Li, B; Ye, F; Berchuck, A; Anton-Culver, H; Banerjee, S; Benitez, J; Bjørge, L; Brenton, JD; Butzow, R; Campbell, IG; Chang-Claude, J; Chen, K; Cook, LS; Cramer, DW; DeFazio, A; Dennis, J; Doherty, JA; Dork, T; Eccles, DM; Velez Edwards, D; Fasching, PA; Fortner, RT; Gayther, SA; Giles, GG; Glasspool, RM; Goode, EL; Goodman, MT; Gronwald, J; Harris, HR; Heitz, F; Hildebrandt, MAT; Høgdall, E; Høgdall, CK; Huntsman, DG; Kar, SP; Karlan, BY; Kelemen, LE; Kiemeney, LA; Kjaer, SK; Koushik, A; Lambrechts, D; Le, ND; Levine, DA; Massuger, LFAG; Matsuo, K; May, T; McNeish, IA; Menon, U; Modugno, F; Monteiro, AN; Moorman, PG; Moysich, KB; Ness, RB; Nevanlinna, H; Olsson, H; Onland-Moret, NC; Park, SK; Paul, J; Pearce, CL; Pejovic, T; Phelan, CM; Pike, MC; Ramus, SJ; Riboli, E; Rodríguez-Antona, C; Romieu, I; Sandler, DP; Schildkraut, JM; Setiawan, VW; Shan, K; Siddiqui, N; Sieh, W; Stampfer, MJ; Sutphen, R; Swerdlow, AJ; Szafron, LM; Teo, SH; Tworoger, SS; Tyrer, JP; Webb, PM; Wentzensen, N; White, E; Willett, WC; Wolk, A; Woo, YL; Wu, AH; Yan, L; Yannoukakos, D; Chenevix-Trench, G; Sellers, TA; Pharoah, PDP; Zheng, W; Long, J |
| Source: |
Cancer Research , 79 (3) pp. 505-517. (2019) |
| Publication Year: |
2019 |
| Collection: |
University College London: UCL Discovery |
| Description: |
DNA methylation is instrumental for gene regulation. Global changes in the epigenetic landscape have been recognized as a hallmark of cancer. However, the role of DNA methylation in epithelial ovarian cancer (EOC) remains unclear. In this study, high density genetic and DNA methylation data in white blood cells from the Framingham Heart Study (N=1,595) were used to build genetic models to predict DNA methylation levels. These prediction models were then applied to the summary statistics of a genome-wide association study (GWAS) of ovarian cancer including 22,406 EOC cases and 40,941 controls to investigate genetically predicted DNA methylation levels in association with EOC risk. Among 62,938 CpG sites investigated, genetically predicted methylation levels at 89 CpG were significantly associated with EOC risk at a Bonferroni-corrected threshold of P |
| Document Type: |
article in journal/newspaper |
| File Description: |
text |
| Language: |
English |
| Relation: |
https://discovery.ucl.ac.uk/id/eprint/10065054/1/Genetic%20data%20from%20nearly%2063,000%20women%20of%20European%20descent%20predicts%20DNA%20methylation%20biomarkers%20and%20epithelial%20ovarian%20cancer%20risk.pdf; https://discovery.ucl.ac.uk/id/eprint/10065054/ |
| Availability: |
https://discovery.ucl.ac.uk/id/eprint/10065054/1/Genetic%20data%20from%20nearly%2063,000%20women%20of%20European%20descent%20predicts%20DNA%20methylation%20biomarkers%20and%20epithelial%20ovarian%20cancer%20risk.pdf; https://discovery.ucl.ac.uk/id/eprint/10065054/ |
| Rights: |
open |
| Accession Number: |
edsbas.9C598265 |
| Database: |
BASE |