ArticleFrontiers in bioinformatics2026
Polygenic modeling of genetic effects on both phenotypic mean and variance: distributional regression for BMI, blood and urine biomarkers in the UK Biobank.
Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Polygenic scores (PGS) are commonly used to estimate the cumulative genetic contribution to complex traits by aggregating the effects of multiple genetic variants. In the case of continuous phenotypes, traditional methods have primarily focused on predicting the effect of variants on the phenotypic mean, thereby overlooking potential genetic influences that modulate phenotypic variance. Recent studies suggest that variance quantitative trait loci (vQTLs) provide important insights into the genetic control of trait variability and may serve as candidates for gene-environment interactions that are not captured by mean-based models. Using UK Biobank data, we applied
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