Polygenic risk scores analyses of psychiatric and metabolic traits with antipsychotic-induced weight gain in schizophrenia: an exploratory study

Kazunari Yoshida, Victoria S. Marshe, Samar S.M. Elsheikh, Malgorzata Maciukiewicz, Arun K. Tiwari, Eva J. Brandl, Jeffrey A. Lieberman, Herbert Y. Meltzer, James L. Kennedy, Daniel J. Müller*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Given the polygenic nature of antipsychotic-induced weight gain (AIWG), we investigated whether polygenic risk scores (PRS) for various psychiatric and metabolic traits were associated with AIWG. We included individuals with schizophrenia (SCZ) of European ancestry from two cohorts (N = 151, age = 40.3 ± 11.8 and N = 138, age = 36.5 ± 10.8). We investigated associations of AIWG defined as binary and continuous variables with PRS calculated from genome-wide association studies of body mass index (BMI), coronary artery disease (CAD), fasting glucose, fasting insulin, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol (LDL-C), triglycerides, type 1 and 2 diabetes mellitus, and SCZ, using regression models. We observed nominal associations (uncorrected p < 0.05) between PRSs for BMI, CAD, and LDL-C, type 1 diabetes, and SCZ with AIWG. While results became non-significant after correction for multiple testing, these preliminary results suggest that PRS analyses might contribute to identifying risk factors of AIWG and might help to elucidate mechanisms at play in AIWG.

Original languageEnglish (US)
Pages (from-to)119-126
Number of pages8
JournalPharmacogenomics Journal
Volume23
Issue number5
DOIs
StatePublished - Sep 2023

ASJC Scopus subject areas

  • Genetics
  • Molecular Medicine
  • Pharmacology

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