4.4 Article

Single-nucleotide polymorphism associations for colorectal cancer in southern Chinese population

Journal

CHINESE JOURNAL OF CANCER RESEARCH
Volume 24, Issue 1, Pages 29-35

Publisher

SPRINGER
DOI: 10.1007/s11670-012-0029-7

Keywords

Colorectal cancer; SNP; Association study; Chinese

Categories

Funding

  1. Key Programs for Science and Technology Development of Guangzhou [2008A1-E4151]

Ask authors/readers for more resources

Genome-wide association studies (GWAS) have identified 11 loci that influence the risk of developing colorectal cancer (CRC). Given that these studies were conducted in European Caucasian populations, it is not clear whether the results are relevant for populations with different ethnicities. The aim of this study was to examine these associations in a southern Chinese population. Eleven single-nucleotide polymorphisms (SNPs), rs12701937, rs16892766, rs7014346, rs6983267, rs719725, rs10795668, rs3802842, rs4444235, rs9929218, rs10411210, and rs961253, were genotyped in 229 CRC patients and 267 controls using the MassArray SNP genotyping system. Evidence of an association with CRC was found for four of the 11 loci. The strongest associations were with rs4444235 and rs961253, with significant odds ratios close to those reported in previous GWAS. Among these four loci, rs719725 and rs4444235 were significantly associated with female gender, rs3802842, rs961253, and rs4444235 with early disease onset, and rs3802842 with later disease onset. However, no associations with CRC risk were detected for six other loci (rs9929218, rs10411210, rs12701937, rs7014346, rs6983267, and rs10795668), and one SNP, rs16892766, was not polymorphic in any of the study participants. The rs4444235 and rs961253 loci are strongly associated with the risk of CRC in southern Chinese.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available