eCite Digital Repository

Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci


Schumacher, FR and Al Olama, AA and Berndt, SI and Benlloch, S and Ahmed, M and FitzGerald, LM and Eeles, RA, et al, Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci, Nature Genetics, 50, (7) pp. 928-936. ISSN 1061-4036 (2018) [Refereed Article]

Copyright Statement

2018 Nature America Inc., part of Springer Nature

DOI: doi:10.1038/s41588-018-0142-8


Genome-wide association studies (GWAS) and fine-mapping efforts to date have identified more than 100 prostate cancer (PrCa)-susceptibility loci. We meta-analyzed genotype data from a custom high-density array of 46,939 PrCa cases and 27,910 controls of European ancestry with previously genotyped data of 32,255 PrCa cases and 33,202 controls of European ancestry. Our analysis identified 62 novel loci associated (P < 5.0  10-8) with PrCa and one locus significantly associated with early-onset PrCa (≤55 years). Our findings include missense variants rs1800057 (odds ratio (OR) = 1.16; P = 8.2  10-9; G>C, p.Pro1054Arg) in ATM and rs2066827 (OR = 1.06; P = 2.3  10-9; T>G, p.Val109Gly) in CDKN1B. The combination of all loci captured 28.4% of the PrCa familial relative risk, and a polygenic risk score conferred an elevated PrCa risk for men in the ninetieth to ninety-ninth percentiles (relative risk = 2.69; 95% confidence interval (CI): 2.55-2.82) and first percentile (relative risk = 5.71; 95% CI: 5.04-6.48) risk stratum compared with the population average. These findings improve risk prediction, enhance fine-mapping, and provide insight into the underlying biology of PrCa.

Item Details

Item Type:Refereed Article
Keywords:cancer, cancer susceptibility, disease association, gene, human genome, prostate cancer, genetic model
Research Division:Biological Sciences
Research Group:Genetics
Research Field:Epigenetics (incl. genome methylation and epigenomics)
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:FitzGerald, LM (Dr Liesel Fitzgerald)
ID Code:127049
Year Published:2018
Web of Science® Times Cited:340
Deposited By:Menzies Institute for Medical Research
Deposited On:2018-07-07
Last Modified:2019-02-25

Repository Staff Only: item control page