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Predicted gene expression in ancestrally diverse populations leads to discovery of susceptibility loci for lifestyle and cardiometabolic traits.

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第一作者: Heather M,Highland
第一单位: Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA. Electronic address: heather.highland@unc.edu.
作者单位: Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA. Electronic address: heather.highland@unc.edu. [1] Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA. [2] Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA. [3] Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. [4] Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA; Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA. [5] Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. [6] Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA. [7] Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA. [8] Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37232, USA. [9] Human Genetics Center, School of Public Health, The University of Texas Health Science Center, Houston, TX 77030, USA. [10] Human Genetics Center, School of Public Health, The University of Texas Health Science Center, Houston, TX 77030, USA; Brown Foundation Institute for Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center, Houston, TX 77030, USA. [11] Division of Genomic Medicine, NIH National Human Genome Research Institute, Bethesda, MD 20892, USA. [12] Department of Population Health Sciences, Geisinger Health System, Danville, PA 17822, USA. [13] Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA. [14] Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA. [15] Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; School of Public Health, University of Washington, Seattle, WA 98195, USA. [16] University of Hawaii, Honolulu, HI 96813, USA. [17] Genetics, Rutgers University, New Brunswick, NJ 08901-8554, USA. [18] Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. [19] Information Sciences Institute, University of Southern California, Marina del Rey, CA 90292, USA. [20] Statistics, Rutgers University, New Brunswick, NJ 08901-8554, USA. [21] Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. [22] Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Mental Illness Research, Education and Clinical Centers, James J. Peters Department of Veterans Affairs Medical Center, Bronx, NY 14068, USA. Electronic address: laura.huckins@mssm.edu. [23]
DOI 10.1016/j.ajhg.2022.02.013
PMID 35263625
发布时间 2026-05-16
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American journal of human genetics

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