The predictive value of polygenic risk scores for depression in gene-environment interaction studies: a systematic review

Two general conclusions can be drawn from this review. First, PRS<sub>D</sub>xE interactions, if at all, add a small amount of explained variance in depression phenotypes to the corresponding additive model and may thus require large samples to be reliably detected. Second, in a considerable number of studies, different environmental exposures were found to depend on an individual's PRS<sub>D</sub>, indicating significant gene-environment correlation. We further discuss limitations, future directions and potential clinical relevance of PRSxE research in depression.

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Publication Details

Journal
Translational Psychiatry
Published
2026-02-25
DOI
https://doi.org/10.1038/s41398-025-03793-7
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

The predictive value of polygenic risk scores for depression in gene-environment interaction studies: a systematic review

Susanne Vogel, Nina Alexander, Sabrina Illius, Julian Eder
Translational Psychiatry
Genetic Associations and Epidemiology
article

The predictive value of polygenic risk scores for depression in gene-environment interaction studies: a systematic review

Susanne Vogel, Nina Alexander, Sabrina Illius, Julian Eder
article en

Abstract

Two general conclusions can be drawn from this review. First, PRS<sub>D</sub>xE interactions, if at all, add a small amount of explained variance in depression phenotypes to the corresponding additive model and may thus require large samples to be reliably detected. Second, in a considerable number of studies, different environmental exposures were found to depend on an individual's PRS<sub>D</sub>, indicating significant gene-environment correlation. We further discuss limitations, future directions and potential clinical relevance of PRSxE research in depression.

Translational PsychiatryVol. 16(1)
Philipps University of Marburg (DE), MSH Medical School Hamburg – University of Applied Sciences and Medical University (DE), Technische Universität Dresden (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 41%
Genetic Associations and Epidemiology
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