eQTL Colocalization Analyses Identify NTN4 as a Candidate Breast Cancer Risk Gene

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 larg...

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Published in:American journal of human genetics Vol. 107; no. 4; pp. 778 - 787
Main Authors: Beesley, Jonathan, Sivakumaran, Haran, Moradi Marjaneh, Mahdi, Shi, Wei, Hillman, Kristine M., Kaufmann, Susanne, Hussein, Nehal, Kar, Siddhartha, Lima, Luize G., Ham, Sunyoung, Möller, Andreas, Chenevix-Trench, Georgia, Edwards, Stacey L., French, Juliet D.
Format: Journal Article
Language:English
Published: United States Elsevier Inc 01-10-2020
Elsevier
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Summary: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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These authors contributed equally to this work
Present address: UK Dementia Research Institute, Imperial College London, London W12 0BZ, UK
ISSN:0002-9297
1537-6605
DOI:10.1016/j.ajhg.2020.08.006