Article

Improving Causal Gene Identification Using Large Language Models

2026-03-10

Abstract excerpt

Genome-Wide Association Studies (GWAS) have successfully identified numerous loci associated with complex traits and diseases, yet pinpointing causal genes remains a significant challenge. The reliance on simple proximity-based heuristics is often insufficient due to linkage disequilibrium, gene interactions, and regulatory effects. Recent advancements in Large Language Models (LLMs) have demonstrated potential in...

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Literature Corpus work: 6ae0e497-951e-52e3-a152-e6bd4664c2d0
DOI: 10.64898/2026.03.08.710344

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