| Literature DB >> 28567967 |
Nan Wang1,2, Yingchang Lu1, Nikhil K Khankari1, Jirong Long1, Hong-Lan Li3, Jing Gao3, Yu-Tang Gao3, Yong-Bing Xiang3, Xiao-Ou Shu1, Wei Zheng1.
Abstract
Genome-wide association studies (GWAS) have identified over 40 genetic loci associated with colorectal cancer (CRC) risk. The association of single nucleotide polymorphisms (SNPs) at these loci with CRC risk and survival has not been adequately evaluated in East Asians. GWAS-identified CRC risk variants were used to construct weighted genetic risk scores (GRSs). We evaluated these GRSs in association with CRC risk in 3,303 CRC cases and 3,553 controls using logistic regression models. Associations with overall and CRC-specific survival were assessed in 731 CRC patients using Cox regression models. The association between the GRSs (overall and Asian-specific) and CRC risk was approximately twofold (highest vs. lowest quintile), and the shape of the dose-response was linear (ptrend = 1.24 × 10-13 and 3.02 × 10-14 for overall GRS and Asian-specific GRS, respectively). The association of the GRS with CRC risk was stronger among those with a family history of CRC (pinteraction = 0.007). Asian-specific GRS using previously reported survival SNPs increased risk for mortality and the shape of the dose-response was linear for CRC-specific and all-cause mortality (ptrend = 0.01 and 0.006, respectively). Furthermore, the minor alleles of rs6983267 and rs1957636 were associated with worse CRC-specific and overall survival. We show that GRSs constructed using GWAS-identified common variants are strongly associated with CRC risk in Asians. We confirm previous findings for the possible association between some SNPs with survival, and provide evidence for two additional CRC risk variants that may be related to CRC survival.Entities:
Keywords: GWAS; colorectal cancer; genetics; review; single nucleotide polymorphism; survival
Mesh:
Year: 2017 PMID: 28567967 PMCID: PMC5524202 DOI: 10.1002/ijc.30812
Source DB: PubMed Journal: Int J Cancer ISSN: 0020-7136 Impact factor: 7.396