Rethinking GWAS: how lessons from genetic screens and artificial intelligence could reveal biological mechanisms.
Journal:
Bioinformatics (Oxford, England)
PMID:
40198231
Abstract
MOTIVATION: Modern single-cell omics data are key to unraveling the complex mechanisms underlying risk for complex diseases revealed by genome-wide association studies (GWAS). Phenotypic screens in model organisms have several important parallels to GWAS which the author explores in this essay.