Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk

Joshua D Hoffman, Rebecca E Graff, Nima C Emami, Caroline G Tai, Michael N Passarelli, Donglei Hu, Scott Huntsman, Dexter Hadley, Lancelote Leong, Arunabha Majumdar, Noah Zaitlen, Elad Ziv and John S Witte

PLOS Genetics, 2017, vol. 13, issue 3, 1-19

Abstract: Breast cancer is the most common solid organ malignancy and the most frequent cause of cancer death among women worldwide. Previous research has yielded insights into its genetic etiology, but there remains a gap in the understanding of genetic factors that contribute to risk, and particularly in the biological mechanisms by which genetic variation modulates risk. The National Cancer Institute’s “Up for a Challenge” (U4C) competition provided an opportunity to further elucidate the genetic basis of the disease. Our group leveraged the seven datasets made available by the U4C organizers and data from the publicly available UK Biobank cohort to examine associations between imputed gene expression and breast cancer risk. In particular, we used reference datasets describing the breast tissue and whole blood transcriptomes to impute expression levels in breast cancer cases and controls. In trans-ethnic meta-analyses of U4C and UK Biobank data, we found significant associations between breast cancer risk and the expression of RCCD1 (joint p-value: 3.6x10-06) and DHODH (p-value: 7.1x10-06) in breast tissue, as well as a suggestive association for ANKLE1 (p-value: 9.3x10-05). Expression of RCCD1 in whole blood was also suggestively associated with disease risk (p-value: 1.2x10-05), as were expression of ACAP1 (p-value: 1.9x10-05) and LRRC25 (p-value: 5.2x10-05). While genome-wide association studies (GWAS) have implicated RCCD1 and ANKLE1 in breast cancer risk, they have not identified the remaining three genes. Among the genetic variants that contributed to the predicted expression of the five genes, we found 23 nominally (p-value

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pgen00:1006690

DOI: 10.1371/journal.pgen.1006690

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