Allele-specific miRNA-binding analysis identifies candidate target genes for breast cancer risk
NPJ GENOMIC MEDICINE(2020)
摘要
Most breast cancer (BC) risk-associated single-nucleotide polymorphisms (raSNPs) identified in genome-wide association studies (GWAS) are believed to cis -regulate the expression of genes. We hypothesise that cis -regulatory variants contributing to disease risk may be affecting microRNA (miRNA) genes and/or miRNA binding. To test this, we adapted two miRNA-binding prediction algorithms—TargetScan and miRanda—to perform allele-specific queries, and integrated differential allelic expression (DAE) and expression quantitative trait loci (eQTL) data, to query 150 genome-wide significant ( P≤ 5×10^-8 ) raSNPs, plus proxies. We found that no raSNP mapped to a miRNA gene, suggesting that altered miRNA targeting is an unlikely mechanism involved in BC risk. Also, 11.5
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关键词
Data mining,Risk factors
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