Discrimination between healthy participants and people with panic disorder based on polygenic scores for psychiatric disorders and for intermediate phenotypes using machine learning.

Journal: The Australian and New Zealand journal of psychiatry
PMID: 38581251

Abstract

OBJECTIVE: Panic disorder is a modestly heritable condition. Currently, diagnosis is based only on clinical symptoms; identifying objective biomarkers and a more reliable diagnostic procedure is desirable. We investigated whether people with panic disorder can be reliably diagnosed utilizing combinations of multiple polygenic scores for psychiatric disorders and their intermediate phenotypes, compared with single polygenic score approaches, by applying specific machine learning techniques.

Authors

  • Kazutaka Ohi
    Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan.
  • Yuta Tanaka
    Department of Intelligence Science and Engineering, Gifu University Graduate School of Natural Science and Technology, Gifu, Japan.
  • Takeshi Otowa
    Department of Psychiatry, East Medical Center, Nagoya City University, Nagoya, Japan.
  • Mihoko Shimada
    Genome Medical Science Project (Toyama), National Center for Global Health and Medicine (NCGM), Tokyo, Japan.
  • Hisanobu Kaiya
    Panic Disorder Research Center, Warakukai Medical Corporation, Tokyo, Japan.
  • Fumichika Nishimura
    Center for Research on Counseling and Support Services, The University of Tokyo, Tokyo, Japan.
  • Tsukasa Sasaki
    Department of Physical and Health Education, Graduate School of Education, The University of Tokyo, Tokyo, Japan.
  • Hisashi Tanii
    Center for Physical and Mental Health, Mie University, Mie, Japan.
  • Toshiki Shioiri
    Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan.
  • Takeshi Hara
    Department of Psychosomatic Medicine, Endocrinology and Diabetes Mellitus, Fukuoka Tokushukai Hospital, Kasuga, Fukuoka, Japan.

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