The impact of exercise on gene regulation in association with complex trait genetics

Authors

Nikolai G. Vetr, Stanford University
Nicole R. Gay, Stanford University
Joshua N. Adkins, Pacific Northwest National Laboratory
Brent G. Albertson, Joslin Diabetes Center
David Amar, Stanford University
Mary Anne S. Amper, Icahn School of Medicine at Mount Sinai
Jose Juan Almagro Armenteros, Stanford University
Euan Ashley, Stanford University
Julian Avila-Pacheco, Broad Institute
Dam Bae, University of Iowa
Ali Tugrul Balci, Icahn School of Medicine at Mount Sinai
Marcas Bamman, The University of Alabama at Birmingham
Nasim Bararpour, Stanford University
Elisabeth R. Barton, University of Florida
Pierre M. Jean Beltran, Broad Institute
Bryan C. Bergman, University of Colorado Anschutz Medical Campus
Daniel H. Bessesen, University of Colorado Anschutz Medical Campus
Sue C. Bodine, University of Iowa
Frank W. Booth, University of Missouri
Brian Bouverat, University of Florida
Thomas W. Buford, The University of Alabama at Birmingham
Charles F. Burant, University of Michigan, Ann Arbor
Tiziana Caputo, Joslin Diabetes Center
Steven Carr, Broad Institute
Toby L. Chambers, Ball State University
Clarisa Chavez, Stanford University
Maria Chikina, Icahn School of Medicine at Mount Sinai
Roxanne Chiu, Stanford University
Michael Cicha, University of Iowa
Clary B. Clish, Broad Institute
Paul M. Coen, AdventHealth Translational Research Institute
Dan Cooper, University of California, Irvine
Elaine Cornell, The University of Vermont
Gary Cutter, The University of Alabama at Birmingham

Document Type

Article

Publication Date

12-1-2024

Abstract

Endurance exercise training is known to reduce risk for a range of complex diseases. However, the molecular basis of this effect has been challenging to study and largely restricted to analyses of either few or easily biopsied tissues. Extensive transcriptome data collected across 15 tissues during exercise training in rats as part of the Molecular Transducers of Physical Activity Consortium has provided a unique opportunity to clarify how exercise can affect tissue-specific gene expression and further suggest how exercise adaptation may impact complex disease-associated genes. To build this map, we integrate this multi-tissue atlas of gene expression changes with gene-disease targets, genetic regulation of expression, and trait relationship data in humans. Consensus from multiple approaches prioritizes specific tissues and genes where endurance exercise impacts disease-relevant gene expression. Specifically, we identify a total of 5523 trait-tissue-gene triplets to serve as a valuable starting point for future investigations [Exercise; Transcription; Human Phenotypic Variation].

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