Article

ATLAS: Population-Level Disease Locus Discovery via Differential Attention in Genomic Language Models

2026-02-10

Abstract excerpt

Identifying disease-associated genetic variants remains a key challenge in genomics, especially in small cohorts or for rare and complex mutation types where genome-wide association studies (GWAS) often fall short. We introduce ATLAS, a population-level framework that leverages attention signals from pretrained genomic language models (gLMs) to detect disease-associated genes and loci directly from raw sequences—w...

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Literature Corpus work: a0582090-83b1-5376-846f-f0d67995ba82
DOI: 10.64898/2026.02.09.704696

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