Integrative eQTL-based analyses reveal the biology of breast cancer risk loci.

Cell
Authors
Keywords
Abstract

Germline determinants of gene expression in tumors are infrequently studied due to the complexity of transcript regulation caused by somatically acquired alterations. We performed expression quantitative trait locus (eQTL)-based analyses using the multi-level information provided in The Cancer Genome Atlas (TCGA). Of the factors we measured, cis-acting eQTLs accounted for 1.2% of the total variation of tumor gene expression, while somatic copy-number alteration and CpG methylation accounted for 7.3% and 3.3%, respectively. eQTL analyses of 15 previously reported breast cancer risk loci resulted in the discovery of three variants that are significantly associated with transcript levels (false discovery rate [FDR] 

Year of Publication
2013
Journal
Cell
Volume
152
Issue
3
Pages
633-41
Date Published
2013 Jan 31
ISSN
1097-4172
URL
DOI
10.1016/j.cell.2012.12.034
PubMed ID
23374354
PubMed Central ID
PMC4165609
Links
Grant list
R01 CA129435 / CA / NCI NIH HHS / United States
R01 CA131341 / CA / NCI NIH HHS / United States
U19 CA148537 / CA / NCI NIH HHS / United States