Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction
Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independ...
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Published in | Nature genetics Vol. 53; no. 1; pp. 65 - 75 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Nature Publishing Group
01.01.2021
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Subjects | |
Online Access | Get full text |
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Summary: | Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction. |
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Bibliography: | PMCID: PMC8148035 Drs. Conti, Eeles, Kote-Jarai and Haiman contributed equally to this article. Drs. Conti and Darst are co-first authors DVC, RAE, ZK-J and CAH contributed to study conception, and DVC, BFD, RAE, ZK-J and CAH contributed to interpretation and wrote the manuscript. EJS performed a literature search. MB, TD, SB and XS provided data management and bioinformatics support. DVC, LM, BD, EJS, TD, ZK-J and CAH contributed to data analysis and interpretation. All authors contributed data to the study, revised, critically reviewed and approved the final version of the manuscript: DVC, BDF, LCM, EJS, XS, AC, FRS, AAAO, SB, TD, MNB, AS, TJH, AT, KoMa, YM, MF, KeMu, ArLo, PW, LLM, LRW, VLS, SMG, BDC, JS, TLJT, CsSi, AA, GGG, MeCS, RJM, CC, DW, JaLu, DEN, JLD, FCH, RMM, BGN, SFN, MW, SEB, MAR, PI, JB, SC, LeMo, LH, JAC, WT, GPR, HG, MA, RS, ME, TN, NP, AMD, MGh, RCT, TJK, ER, JYP, TAS, H-YL, DA, SJW, LAM, EG, SaLi, PK, DJH, KLP, CT, CMT, PJG, IAM, RJH, NEF, AF, M-ÉP, JLS, EAO, MSG, SK, LEBF, MeSt, AW, NH, GLA, RNH, MJM, KDS, MB, WJB, WZ, EDY, JEM, Y-JL, H-WZ, NF, XM, YW, S-CZ, ZS, SNT, SKM, DJS, CMLW, NB, GB, CM, TS, ML, ASK, BFD, OC, GC-T, FM, TT, YAK, EMJ, EMG, LoMa, K-TK, SAI, MaCS, AV, AG-C, LF, BSR, SLK, HO, MRT, PP, AB, SW, AlLu, JTB, ETHF, JM, JAT, MK, JaLl, GC-V, LC-A, CCT, CDH, SSS, LuMu, PB, LB, RK, ChSl, VM, RJL, BW, HB, KC, BH, K-US, EAK, AWH, RAK, ABM, CJL, JK, SLN, LS, YCD, WBI, BN, AJMH, JC, HP, AM, KDR, GDM, PO, JX, AR, JaLi, S-HT, LFN, DWL, JHF, CN-D, BAR, MaG, DL, TK, NU, SaSi, MP, FC, SJ, TVB, MG-D, JEC, MEM, SaLa, PAT, CA-H, WSB, MCA, DCC, ShSr, JCC, GP, GC, MJR, GJ, RHNS, JJH, MaSa, RV, RM-C, MT, NM, SIB, SKVDE, DFE, SJC, MBC, FW, HN, JSW, RAE, ZK-J, CAH. CAH and RAE had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Author Contributions |
ISSN: | 1061-4036 1546-1718 1546-1718 |
DOI: | 10.1038/s41588-020-00748-0 |