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Multi-omic deep learning identifies exercise-responsive ageing pathways in humans
2026-01-05
sports medicine
Title + abstract only
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Genome-wide association studies of physical activity traits have mapped numerous loci, yet the molecular mechanisms through which exercise influences human biology remain poorly defined. Mechanistic progress has been limited by heritability-dominated signals, siloed single-omic analyses, and the lack of integrative models that connect genetic associations to causal, system-level pathways. We introduce the first deep learning, multi-omic framework for exercise genomics, unifying causal inference,...
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