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Genes (Basel). 2021 Jul 08;12(7). doi: 10.3390/genes12071049.

Transcriptome-Wide Association Study of Blood Cell Traits in African Ancestry and Hispanic/Latino Populations.

Genes

Jia Wen, Munan Xie, Bryce Rowland, Jonathan D Rosen, Quan Sun, Jiawen Chen, Amanda L Tapia, Huijun Qian, Madeline H Kowalski, Yue Shan, Kristin L Young, Marielisa Graff, Maria Argos, Christy L Avery, Stephanie A Bien, Steve Buyske, Jie Yin, Hélène Choquet, Myriam Fornage, Chani J Hodonsky, Eric Jorgenson, Charles Kooperberg, Ruth J F Loos, Yongmei Liu, Jee-Young Moon, Kari E North, Stephen S Rich, Jerome I Rotter, Jennifer A Smith, Wei Zhao, Lulu Shang, Tao Wang, Xiang Zhou, Alexander P Reiner, Laura M Raffield, Yun Li

Affiliations

  1. Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA.
  2. Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  3. Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  4. Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA.
  5. Division of Epidemiology and Biostatistics, University of Illinois at Chicago, Chicago, IL 60612, USA.
  6. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
  7. Department of Statistics, Rutgers University, Piscataway, NJ 08854, USA.
  8. Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA.
  9. Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center, Houston, TX 77030, USA.
  10. Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA.
  11. Regeneron Genetics Center, Tarrytown, NY 10591, USA.
  12. The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
  13. Molecular Physiology Institute, Duke University, Durham, NC 27701, USA.
  14. Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
  15. The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
  16. Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
  17. Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
  18. Department of Epidemiology, University of Washington, Seattle, WA 98195, USA.

PMID: 34356065 PMCID: PMC8307403 DOI: 10.3390/genes12071049

Abstract

BACKGROUND: Thousands of genetic variants have been associated with hematological traits, though target genes remain unknown at most loci. Moreover, limited analyses have been conducted in African ancestry and Hispanic/Latino populations; hematological trait associated variants more common in these populations have likely been missed.

METHODS: To derive gene expression prediction models, we used ancestry-stratified datasets from the Multi-Ethnic Study of Atherosclerosis (MESA, including

RESULTS: Our results revealed 24 suggestive signals (

CONCLUSIONS: These analyses demonstrate the importance of performing TWAS and other genetic analyses across diverse populations and of balancing sample size and ancestry background matching when selecting a TWAS reference panel.

Keywords: TWAS (transcriptome-wide association study); ancestry; expression analysis; non-European populations

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