HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease.
Ontology highlight
ABSTRACT: More than 90% of common variants associated with complex traits do not affect proteins directly, but instead the circuits that control gene expression. This has increased the urgency of understanding the regulatory genome as a key component for translating genetic results into mechanistic insights and ultimately therapeutics. To address this challenge, we developed HaploReg (http://compbio.mit.edu/HaploReg) to aid the functional dissection of genome-wide association study (GWAS) results, the prediction of putative causal variants in haplotype blocks, the prediction of likely cell types of action, and the prediction of candidate target genes by systematic mining of comparative, epigenomic and regulatory annotations. Since first launching the website in 2011, we have greatly expanded HaploRe
SUBMITTER: Ward LD
PROVIDER: S-EPMC4702929 | biostudies-literature | 2016 Jan
REPOSITORIES: biostudies-literature
ACCESS DATA