Population-scale single-nucleus multi-omic profiling of skeletal muscle reveals extensive context-specific genetic regulation
Year: 2026
Type: article
Source: Nature Genetics
Authors: Arushi Varshney, Nandini Manickam, Peter Orchard, Adelaide Tovar, Christa Ventresca, Zhenhao Zhang, Fan Feng, Joseph Mears, Michael R. Erdos, Narisu Narisu, Kirsten Nishino, Vivek Rai, Heather M. Stringham, Anne U. Jackson, Tricia Tamsen, Chao Gao, Mao Yang, Olivia I. Koues, Joshua D. Welch, Charles F. Burant, L. Keoki Williams, Chris Jenkinson, Ralph A. DeFronzo, Luke Norton, Jouko Saramies, Timo A. Lakka, Markku Laakso, Jaakko Tuomilehto, Karen L. Mohlke, Jacob O. Kitzman, Heikki A. Koistinen, Jie Liu, Michael Boehnke, Francis S. Collins, Laura J. Scott, Stephen C. J. Parker
Institutions: University of Michigan, National Institutes of Health, National Human Genome Research Institute, Henry Ford Health, Henry Ford Hospital, The University of Texas Rio Grande Valley, The University of Texas at San Antonio Health Science Center, Etelä-Karjalan sosiaali ja terveyspiiri, University of Eastern Finland, Kuopio University Hospital, University of Helsinki, King Abdulaziz University, Finnish Institute for Health and Welfare, University of North Carolina at Chapel Hill, Helsinki University Hospital, Minerva Foundation
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: Targeted Genetic Analysis of T2D and Quantitative Traits, Michigan Predoctoral Training in Genetics, Bridging the gap between type 2 diabetes GWAS and therapeutic targets, Context-specific and combinatorial genetic regulatory grammars in diabetes, Michigan Integrative Musculoskeletal Health Core Center (Overall Application), Identifying Genes for Type 2 Diabetes: FUSION
OpenAlex ID: W4393524305