Integrative expression quantitative trait locus–based analysis of colorectal cancer identified a functional polymorphism regulating SLC22A5 expression

Multiple single nucleotide polymorphisms (SNPs) have been found to be highly correlated with colorectal cancer (CRC) risk. However, the variants identified thus far only explain a small part of the cases, suggesting the existence of many uncharacterised genetic determinants. In this study, using the...

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Bibliographic Details
Published in:European journal of cancer (1990) 2018-04, Vol.93, p.1-9
Main Authors: Zou, Danyi, Lou, Jiao, Ke, Juntao, Mei, Shufang, Li, Jiaoyuan, Gong, Yajie, Yang, Yang, Zhu, Ying, Tian, Jianbo, Chang, Jiang, Zhong, Rong, Gong, Jing, Miao, Xiaoping
Format: Article
Language:English
Subjects:
Aged
Biomarkers
Biomarkers, Tumor - genetics
Cancer
Case-Control Studies
Colorectal cancer
Colorectal carcinoma
Colorectal Neoplasms - genetics
Colorectal Neoplasms - pathology
Computational Biology - methods
Data Analysis
eQTL
Female
Follow-Up Studies
Gene expression
Gene Expression Regulation, Neoplastic
Gene polymorphism
Genetic variants
Genomes
Genotypes
Health risks
Humans
Male
Middle Aged
Polymorphism
Polymorphism, Single Nucleotide
Prognosis
Quantitative Trait Loci
Risk
Single-nucleotide polymorphism
SLC22A5
Solute Carrier Family 22 Member 5 - genetics
Tissues
Tumors
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Summary:Multiple single nucleotide polymorphisms (SNPs) have been found to be highly correlated with colorectal cancer (CRC) risk. However, the variants identified thus far only explain a small part of the cases, suggesting the existence of many uncharacterised genetic determinants. In this study, using the multilevel ‘omics’ data provided in The Cancer Genome Atlas, we systematically performed expression quantitative trait locus (eQTL) analysis for CRC and identified nine SNPs with significant effects on mRNA expression (correlation |r| > 0.3 and FDR 
ISSN:0959-8049
1879-0852
DOI:10.1016/j.ejca.2018.01.065