Predicting treatment-seeking status for alcohol use disorder using polygenic scores and machine learning in a deeply-phenotyped sample.

Journal: Drug and alcohol dependence
Published Date:

Abstract

BACKGROUND: Few individuals with alcohol use disorder (AUD) receive treatment. Previous studies have shown drinking behavior, psychological problems, and substance dependence to predict treatment seeking. However, to date, no studies have incorporated polygenic scores (PGS), a measure of genetic risk for AUD.

Authors

  • Zeal Jinwala
    Crescenz VA Medical Center, Philadelphia, PA 19104, United States; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States.
  • ReJoyce Green
    Medical University of South Carolina, Charleston, SC 29425, United States.
  • Yousef Khan
    Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States.
  • Joel Gelernter
    Department of Psychiatry, Yale University School of Medicine, New Haven, CT.
  • Rachel L Kember
    Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania; Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
  • Emily E Hartwell
    Crescenz VA Medical Center, Philadelphia, PA 19104, United States; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, United States. Electronic address: Emily.hartwell@va.gov.