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

Authors :
Yoshida K
Marshe VS
Elsheikh SSM
Maciukiewicz M
Tiwari AK
Brandl EJ
Lieberman JA
Meltzer HY
Kennedy JL
Müller DJ
Source :
The pharmacogenomics journal [Pharmacogenomics J] 2023 Sep; Vol. 23 (5), pp. 119-126. Date of Electronic Publication: 2023 Apr 27.
Publication Year :
2023

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.<br /> (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)

Details

Language :
English
ISSN :
1473-1150
Volume :
23
Issue :
5
Database :
MEDLINE
Journal :
The pharmacogenomics journal
Publication Type :
Academic Journal
Accession number :
37106021
Full Text :
https://doi.org/10.1038/s41397-023-00305-y