Ontology highlight
ABSTRACT:
SUBMITTER: Hormozdiari F
PROVIDER: S-EPMC5142122 | biostudies-literature | 2016 Dec
REPOSITORIES: biostudies-literature
Hormozdiari Farhad F van de Bunt Martijn M Segrè Ayellet V AV Li Xiao X Joo Jong Wha J JWJ Bilow Michael M Sul Jae Hoon JH Sankararaman Sriram S Pasaniuc Bogdan B Eskin Eleazar E
American journal of human genetics 20161117 6
The vast majority of genome-wide association study (GWAS) risk loci fall in non-coding regions of the genome. One possible hypothesis is that these GWAS risk loci alter the individual's disease risk through their effect on gene expression in different tissues. In order to understand the mechanisms driving a GWAS risk locus, it is helpful to determine which gene is affected in specific tissue types. For example, the relevant gene and tissue could play a role in the disease mechanism if the same v ...[more]