Abstract
Genome-wide association studies (GWAS) have identified ~170 genetic loci associated with prostate cancer (PCa) risk, but most of them were identified in European populations. We here performed a GWAS and replication study using a large Japanese cohort (9,906 cases and 83,943 male controls) to identify novel susceptibility loci associated with PCa risk. We found 12 novel loci for PCa including rs1125927 (TMEM17, P = 3.95 × 10−16), rs73862213 (GATA2, P = 5.87 × 10−23), rs77911174 (ZMIZ1, P = 5.28 × 10−20), and rs138708 (SUN2, P = 1.13 × 10−15), seven of which had crucially low minor allele frequency in European population. Furthermore, we stratified the polygenic risk for Japanese PCa patients by using 82 SNPs, which were significantly associated with Japanese PCa risk in our study, and found that early onset cases and cases with family history of PCa were enriched in the genetically high-risk population. Our study provides important insight into genetic mechanisms of PCa and facilitates PCa risk stratification in Japanese population.
Highlights
Genome-wide association studies (GWAS) have identified ~170 genetic loci associated with prostate cancer (PCa) risk, but most of them were identified in European populations
To identify genetic polymorphisms associated with PCa, a number of genome-wide association studies (GWASs) have been conducted, which identified ~170 risk loci associated with PCa6–10
Even though a recent study suggests that the number of genetic loci associated with PCa has almost saturated after studying more than a hundred thousand patients[10], it is possible that even more PCa associated risk loci will be identified by studying populations of non-European ancestry
Summary
Genome-wide association studies (GWAS) have identified ~170 genetic loci associated with prostate cancer (PCa) risk, but most of them were identified in European populations. Since several of the SNPs newly identified in this study existed in regions close to previously reported PCa susceptibility loci, we checked the independency of association by conditional analysis with GWAS data (Supplementary Table 5).
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