Systematic identification of regulatory variants associated with cancer risk

Systematic identification of regulatory variants associated with cancer risk

Abstract Background Most cancer risk-associated single nucleotide polymorphisms (SNPs) identified by genome-wide association studies (GWAS) are noncoding and it is challenging to assess their functional impacts. To systematically identify the SNPs that affect gene expression by modulating activities...

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Bibliographic Details
Main Authors: Song Liu, Yuwen Liu, Qin Zhang, Jiayu Wu, Junbo Liang, Shan Yu, Gong-Hong Wei, Kevin P. White, Xiaoyue Wang
Format: Article
Language:English
Published: BMC 2017-10-01
Series:Genome Biology
Subjects:
GWAS
STARR-seq
Regulatory variants
Cancer susceptibility
CRISPR interference
Online Access:http://link.springer.com/article/10.1186/s13059-017-1322-z

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http://link.springer.com/article/10.1186/s13059-017-1322-z

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