TY - JOUR
T1 - Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci
AU - Schumacher, Fredrick R
AU - Al Olama, Ali Amin
AU - Berndt, Sonja I
AU - Benlloch, Sara
AU - Ahmed, Mahbubl
AU - Saunders, Edward J
AU - Dadaev, Tokhir
AU - Leongamornlert, Daniel
AU - Anokian, Ezequiel
AU - Cieza-Borrella, Clara
AU - Goh, Chee
AU - Brook, Mark N
AU - Sheng, Xin
AU - Fachal, Laura
AU - Dennis, Joe
AU - Tyrer, Jonathan
AU - Muir, Kenneth
AU - Lophatananon, Artitaya
AU - Stevens, Victoria L
AU - Gapstur, Susan M
AU - Carter, Brian D
AU - Tangen, Catherine M
AU - Goodman, Phyllis J
AU - Thompson, Ian M
AU - Batra, Jyotsna
AU - Chambers, Suzanne
AU - Moya, Leire
AU - Clements, Judith
AU - Horvath, Lisa
AU - Tilley, Wayne
AU - Risbridger, Gail P
AU - Gronberg, Henrik
AU - Aly, Markus
AU - Nordström, Tobias
AU - Pharoah, Paul
AU - Pashayan, Nora
AU - Schleutker, Johanna
AU - Tammela, Teuvo L J
AU - Sipeky, Csilla
AU - Auvinen, Anssi
AU - Albanes, Demetrius
AU - Weinstein, Stephanie
AU - Wolk, Alicja
AU - Håkansson, Niclas
AU - Nordestgaard, Børge G
AU - Nielsen, Sune F
AU - Weischer, Maren
AU - Bisbjerg, Rasmus
AU - Røder, Martin Andreas
AU - Iversen, Peter
AU - Profile Study
PY - 2018/6/11
Y1 - 2018/6/11
N2 - 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 1 .
AB - 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 1 .
U2 - 10.1038/s41588-018-0142-8
DO - 10.1038/s41588-018-0142-8
M3 - Journal article
C2 - 29892016
SN - 1061-4036
VL - 50
SP - 928
EP - 936
JO - Nature Genetics
JF - Nature Genetics
ER -