TWAS atlas 2.0: an updated data resource for transcriptome-wide association studies.

ABSTRACT: Transcriptome-wide association studies (TWAS), which combine large-scale GWAS and expression quantitative trait loci (eQTL) datasets to predict gene expression levels and identify trait-related genes, have recently been applied across many traits. TWAS Atlas is a comprehensive public resource that carefully curates TWAS results from a standard set of literature, helping researchers integrate and analyze numerous gene-trait associations. In TWAS Atlas 2.0 (https://ngdc.cncb.ac.cn/twas/), we not only include the latest high-quality TWAS findings but also incorporate GWAS datasets for performing TWAS analysis to expand the range of covered phenotypes, increasing gene-trait associations from 401 226 to 676 198, involving 590 traits and 24 870 genes. The knowledge graph has been significantly e

SUBMITTER: Gao H 

PROVIDER: S-EPMC12807705 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature