ArticleJournal of human genetics2025
Analyzing complex traits and diseases using GxE PRS: genotype-environment interaction in polygenic risk score models.
Article in Journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Beyond Mendel: a call to revisit the genotype-phenotype map through new experimental paradigms.Genetics · 2026Article
- Methods for modeling gene-environment interplay using polygenic risk scores.Statistical applications in genetics and molecular biology · 2026Review
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A deeper understanding of how environmental factors influence genetic risks is crucial for exploring their combined effects on health outcomes. This can be effectively achieved by incorporating genotype-environment (GxE) interactions in polygenic risk score (PRS) models. We applied our recently developed GxEprs model to a wide range of obesity-related complex traits and diseases, leveraging data from the UK Biobank, to capture significant GxE signals. This work represents the first application of the "GxEprs" method, designed to minimize issues with spurious GxE signals and model misspecification. We identified significant GxE signals especially in quantitative phenotypes such as body mass index (BMI), waist-to-hip ratio (WHR), body fat percentage (BF) and waist circumference (WC) and our results indicated a significant enhancement in prediction accuracy in most traits, highlighting the importance of the GxE component. This study demonstrated the potential of incorporating GxE interactions in PRS models, offering a broad understanding of genetic risks and laying foundation in applying these insights in personalized medicine.
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Registered trials
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