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• W3174933768 abstract "Genetic variation in response to the environment, that is, genotype-by-environment interaction (GxE), is fundamental in the biology of complex traits and diseases. However, existing methods are computationally demanding and infeasible to handle biobank-scale data. Here, we introduce GxEsum, a method for estimating the phenotypic variance explained by genome-wide GxE based on GWAS summary statistics. Through comprehensive simulations and analysis of UK Biobank with 288,837 individuals, we show that GxEsum can handle a large-scale biobank dataset with controlled type I error rates and unbiased GxE estimates, and its computational efficiency can be hundreds of times higher than existing GxE methods." @default.
• W3174933768 created "2021-07-05" @default.
• W3174933768 creator A5040887607 @default.
• W3174933768 creator A5077311007 @default.
• W3174933768 date "2021-06-21" @default.
• W3174933768 modified "2023-10-14" @default.
• W3174933768 title "GxEsum: a novel approach to estimate the phenotypic variance explained by genome-wide GxE interaction based on GWAS summary statistics for biobank-scale data" @default.
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• W3174933768 doi "https://doi.org/10.1186/s13059-021-02403-1" @default.
• W3174933768 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8218431" @default.
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• W3174933768 hasPublicationYear "2021" @default.
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