Together, the results reveal dysregulation in pathways in muscle tissue from individuals with diabetes, identify candidate drivers, and connect the genomic drivers of this dysregulation across type 2 diabetes and related metabolic traits.
A. Maddox, Nandini Manickam, Peter Orchard et al.· bioRxiv· 0 citations
This work fine-mapped UK Biobank-derived genome-wide association study (GWAS) signals from 164 traits and identified e/sQTL colocalizations for 10,611 GWAS signals, including 7096 that colocalize with secondary e/sQTLs.
Peter Orchard, T. Blackwell, L. Kachuri et al.· Science· 0 citations
Together, these findings identify an age-associated regulatory shift, largely invisible in matched transcriptomic data, characterized by closing chromatin which reduces accessibility to hormone receptor binding sites and enhancer regions in the muscle fiber epigenome.
Keagan G. Moo, Peter Orchard, Arushi Varshney et al.· bioRxiv· 0 citations
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