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Article

Rethinking GWAS: how lessons from genetic screens and artificial intelligence could reveal biological mechanisms.

Bioinformatics (Oxford, England) - 29 Mar 2025

Hazelett Dennis J

Abstract excerpt

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. RESULTS: The author provides the historical context of such screens, comparing and contrasting similarities to...

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Topics

Genome-Wide Association Study
Artificial Intelligence
Humans
Animals
Phenotype
Computational Biology

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Identifiers

PMID: 40198231
DOI: 10.1093/bioinformatics/btaf153
PMCID: PMC12014097

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