GWAS4D: multidimensional analysis of context-specific regulatory variant for human complex diseases and traits.

ABSTRACT: Genome-wide association studies have generated over thousands of susceptibility loci for many human complex traits, and yet for most of these associations the true causal variants remain unknown. Tissue/cell type-specific prediction and prioritization of non-coding regulatory variants will facilitate the identification of causal variants and underlying pathogenic mechanisms for particular complex diseases and traits. By leveraging recent large-scale functional genomics/epigenomics data, we develop an intuitive web server, GWAS4D (http://mulinlab.tmu.edu.cn/gwas4d or http://mulinlab.org/gwas4d), that systematically evaluates GWAS signals and identifies context-specific regulatory variants. The updated web server includes six major features: (i) updates the regulatory variant prioritization

SUBMITTER: Huang D 

PROVIDER: S-EPMC6030885 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature