"Here, we demonstrate that large language models (LLMs) can accurately identify genes likely to be causal at loci from GWAS. By evaluating the performance of GP

"Here, we demonstrate that large language models (LLMs) can accurately identify genes likely to be causal at loci from GWAS. By evaluating the performance of GPT-3.5 and GPT-4 on datasets of GWAS loci with high-confidence causal gene annotations, we show that these models outperform state-of-the-art methods in identifying putative causal genes."