A quantile integral linear model to quantify genetic effects on phenotypic variability.

Proc Natl Acad Sci U S A · 2022 · PMC9522331 · PMID 36122202

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highly significantP = 4.0e-109actually significant

a decreasing trendno p-value reported

In addition, although the fold enrichment has a decreasing trend as we consider more vQTLs in the analysis, we still observed substantial and highly significant GxE enrichment even in the top 15% of vQTLs for PA (fold enrichment = 1.66, P = 4.0e-109) and SB (fold enrichment = 1.51, P = 1.5e-87), suggesting pervasive GxE interactions between SNPs associated with BMI variability. vPGS Predicts Population-Level and Within-Individual Variability of BMI.

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nominally significantP < 0.05actually significant

We assessed enrichment for nominally significant GxE interactions ( P < 0.05) in top vQTL and GWAS associations for BMI ( Dataset S3 and Methods ).

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