Mining for gene-environment and gene-gene interactions: parametric and non-parametric tests for detecting variance quantitative trait loci

Considering the robustness (to outliers) and computation time, I chose KW to analyze four lipid traits in the Taiwan Biobank. I further showed that GxE and GxG were enriched among 30 vQTLs identified from the four lipid traits.

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Publication Details

Journal
Frontiers in Genetics
Published
2025-09-01
DOI
https://doi.org/10.3389/fgene.2025.1617504
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Mining for gene-environment and gene-gene interactions: parametric and non-parametric tests for detecting variance quantitative trait loci

Wan‐Yu Lin
Frontiers in Genetics
Genetic Associations and Epidemiology
article

Mining for gene-environment and gene-gene interactions: parametric and non-parametric tests for detecting variance quantitative trait loci

Wan‐Yu Lin
article en

Abstract

Considering the robustness (to outliers) and computation time, I chose KW to analyze four lipid traits in the Taiwan Biobank. I further showed that GxE and GxG were enriched among 30 vQTLs identified from the four lipid traits.

Frontiers in GeneticsVol. 16
National Taiwan University (TW)
Taiwan Biobank, National Science and Technology Council
Openalex Percentile: Top 75%
Genetic Associations and Epidemiology
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Mining for gene-environment and gene-gene interactions: parametric and non-parametric tests for detecting variance quantitative trait loci — Wan‐Yu Lin · Frontiers in Genetics (2025) | TGRS Research Map | TGRS