Integrative genomic and transcriptomic analyses identify functionally relevant causal genes for exercise in a large animal model
Thoroughbred horses were assigned to one or more of three cohorts representing distinct exercise states: untrained at rest (UR, n = 94), untrained four hours post-exercise (UE, n = 71), and at rest following six months of training (TR, n = 65). Fifty horses were sampled in both the UR and UE groups, 32 were shared between the UR and TR groups, and 25 overlapped between the UE and TR groups; 18 horses were sampled at all three time points. Horses were classified as untrained or trained based on their prior exercise workload, as described previously [27]. Untrained horses had completed fewer than five work days (WDs; high-intensity exercise) before sampling, whereas trained horses had completed an average of 17.1 WDs (standard deviation, SD = 8.2).
Thoroughbred horses were assigned to one or more of three cohorts representing distinct exercise states: untrained at rest (UR, n = 94), untrained four hours post-exercise (UE, n = 71), and at rest following six months of training (TR, n = 65). Fifty horses were sampled in both the UR and UE groups, 32 were shared between the UR and TR groups, and 25 overlapped between the UE and TR groups; 18 horses were sampled at all three time points. Horses were classified as untrained or trained based on their prior exercise workload, as described previously [27]. Untrained horses had completed fewer than five work days (WDs; high-intensity exercise) before sampling, whereas trained horses had completed an average of 17.1 WDs (standard deviation, SD = 8.2).
European Bioinformatics Institute