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Systematic Identification of Regulatory Variants Associated with Cancer Risk

ABSTRACT: We adapted the self-transcribing active regulatory region sequencing (Starr-seq) strategy to systematically identify the SNPs that affect gene expression by modulating activities of regulatory elements. Among 10,673 SNPs linked with 996 GWAS-identified cancer-risk SNPs, we found 70 regulatory variants for which the two alleles conferred different regulatory activities. We analyzed one of them in-depth and confirmed its target by CRIPSR-Cas9 technology. Our results will help the interpretation of GWAS results and better cancer risk assessment.

ORGANISM(S): synthetic construct Homo sapiens

PROVIDER: GSE94140 | GEO | 2017/08/23

SECONDARY ACCESSION(S): PRJNA369067

REPOSITORIES: GEO

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