生物
前列腺癌
福克斯A1
表达数量性状基因座
遗传学
单核苷酸多态性
全基因组关联研究
基因
计算生物学
基因座(遗传学)
调节顺序
癌症
基因表达调控
基因表达
基因型
作者
Thomas Whitington,Ping Gao,Wei Song,Helen Ross‐Adams,Alastair Lamb,Yuehong Yang,Ilaria Svezia,Daniel Klevebring,Ian G. Mills,Robert Karlsson,Silvia Halim,Mark Dunning,Lars Egevad,Anne Y. Warren,David E. Neal,Henrik Grönberg,Johan Lindberg,Gong‐Hong Wei,Fredrik Wiklund
出处
期刊:Nature Genetics
[Springer Nature]
日期:2016-03-07
卷期号:48 (4): 387-397
被引量:116
摘要
Thomas Whitington and colleagues present a detailed characterization of gene regulatory mechanisms underlying prostate cancer susceptibility. Their analysis highlights key mechanisms altered by disease-associated SNPs, including widespread disruption of ternary complexes involving AR, FOXA1 and HOXB13. Molecular characterization of genome-wide association study (GWAS) loci can uncover key genes and biological mechanisms underpinning complex traits and diseases. Here we present deep, high-throughput characterization of gene regulatory mechanisms underlying prostate cancer risk loci. Our methodology integrates data from 295 prostate cancer chromatin immunoprecipitation and sequencing experiments with genotype and gene expression data from 602 prostate tumor samples. The analysis identifies new gene regulatory mechanisms affected by risk locus SNPs, including widespread disruption of ternary androgen receptor (AR)-FOXA1 and AR-HOXB13 complexes and competitive binding mechanisms. We identify 57 expression quantitative trait loci at 35 risk loci, which we validate through analysis of allele-specific expression. We further validate predicted regulatory SNPs and target genes in prostate cancer cell line models. Finally, our integrated analysis can be accessed through an interactive visualization tool. This analysis elucidates how genome sequence variation affects disease predisposition via gene regulatory mechanisms and identifies relevant genes for downstream biomarker and drug development.
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