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Integrative eQTL-Based Analyses Reveal the Biology of Breast Cancer Risk Loci.

by: Qiyuan Li, Ji-Heui H. Seo, Barbara Stranger, Aaron McKenna, Itsik Pe'er, Thomas Laframboise, Myles Brown, Svitlana Tyekucheva, Matthew L. Freedman
Cell, Vol. 152, No. 3. (31 January 2013), pp. 633-641, doi:10.1016/j.cell.2012.12.034  Key: citeulike:11978670

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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] < 0.1). Our trans-based analysis identified an additional three risk loci to act through ESR1, MYC, and KLF4. These findings provide a more comprehensive picture of gene expression determinants in breast cancer as well as insights into the underlying biology of breast cancer risk loci. Copyright © 2013 Elsevier Inc. All rights reserved.


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