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eQTL Colocalization Analyses Identify NTN4 as a Candidate Breast Cancer Risk Gene
Author(s) -
Jonathan Beesley,
Haran Sivakumaran,
Mahdi Moradi Marjaneh,
Wei Shi,
Kristine M. Hillman,
Susanne Kaufmann,
Nehal Hussein,
Siddhartha Kar,
Luize Goncalves Lima,
Sunyoung Ham,
Andreas Möller,
Georgia ChenevixTrench,
Stacey L. Edwards,
Juliet D. French
Publication year - 2020
Publication title -
the american journal of human genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.661
H-Index - 302
eISSN - 1537-6605
pISSN - 0002-9297
DOI - 10.1016/j.ajhg.2020.08.006
Subject(s) - colocalization , expression quantitative trait loci , breast cancer , candidate gene , computational biology , cancer , medicine , oncology , biology , genetics , gene , single nucleotide polymorphism , genotype , microbiology and biotechnology
Breast cancer genome-wide association studies (GWASs) have identified 150 genomic risk regions containing more than 13,000 credible causal variants (CCVs). The CCVs are predominantly noncoding and enriched in regulatory elements. However, the genes underlying breast cancer risk associations are largely unknown. Here, we used genetic colocalization analysis to identify loci at which gene expression could potentially explain breast cancer risk phenotypes. Using data from the Breast Cancer Association Consortium (BCAC) and quantitative trait loci (QTL) from the Genotype-Tissue Expression (GTEx) project and The Cancer Genome Project (TCGA), we identify shared genetic relationships and reveal novel associations between cancer phenotypes and effector genes. Seventeen genes, including NTN4, were identified as potential mediators of breast cancer risk. For NTN4, we showed the rs61938093 CCV at this region was located within an enhancer element that physically interacts with the NTN4 promoter, and the risk allele reduced NTN4 promoter activity. Furthermore, knockdown of NTN4 in breast cells increased cell proliferation in vitro and tumor growth in vivo. These data provide evidence linking risk-associated variation to genes that may contribute to breast cancer predisposition.

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