Machine learning-based clustering identifies obesity subgroups with differential multi-omics profiles and metabolic patterns.

Journal: Obesity (Silver Spring, Md.)
PMID:

Abstract

OBJECTIVE: Individuals living with obesity are differentially susceptible to cardiometabolic diseases. We hypothesized that an integrative multi-omics approach might improve identification of subgroups of individuals with obesity who have distinct cardiometabolic disease patterns.

Authors

  • Mohammad Y Anwar
    Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Heather Highland
    Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Victoria Lynn Buchanan
    Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Mariaelisa Graff
    Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Kristin Young
    Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Kent D Taylor
    The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA.
  • Russell P Tracy
    Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
  • Peter Durda
    Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
  • Yongmei Liu
    Institute of Systems Genetics, Department of Critical Care Medicine, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610000, China.
  • Craig W Johnson
    Department of Biostatistics, University of Washington, Seattle, Washington, USA.
  • Francois Aguet
    Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Kristin G Ardlie
    Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Robert E Gerszten
    Harvard Medical School, Boston, MA, USA; Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Clary B Clish
    Broad Institute, Cambridge, Massachusetts, USA.
  • Leslie A Lange
    Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
  • Jingzhong Ding
    Section of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
  • Mark O Goodarzi
    Division of Endocrinology, Diabetes, and Metabolism, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Yii-Der Ida Chen
    The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA.
  • Gina M Peloso
    Department of Biostatistics, Boston University School of Public Health, Boston University, Boston, Massachusetts, USA.
  • Xiuqing Guo
    Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
  • Maggie A Stanislawski
    Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
  • Jerome I Rotter
    Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
  • Stephen S Rich
    Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA.
  • Anne E Justice
    Department of Population Health Sciences, Geisinger Health System, Danville, Pennsylvania, USA.
  • Ching-Ti Liu
    Department of Biostatistics, Boston University School of Public Health, Boston University, Boston, Massachusetts, USA.
  • Kari North
    Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.