WebGWAS: A web server for instant GWAS on arbitrary phenotypes.
Ontology highlight
ABSTRACT: Complex disease genetics is a key area of research for reducing disease and improving human health. Genome-wide association studies (GWAS) help in this research by identifying regions of the genome that contribute to complex disease risk. However, GWAS are computationally intensive and require access to individual-level genetic and health information, which presents concerns about privacy and imposes costs on researchers seeking to study complex diseases. Publicly released pan-biobank GWAS summary statistics provide immediate access to results for a subset of phenotypes, but they do not inform about all phenotypes or hand-crafted phenotype definitions, which are often more relevant to study. Here, we present WebGWAS, a new tool that allows researchers to obtain GWAS summary statistics for
SUBMITTER: Zietz M
PROVIDER: S-EPMC11661389 | biostudies-literature | 2024 Dec
REPOSITORIES: biostudies-literature
ACCESS DATA