ArticleGenome biology2021
GxEsum: a novel approach to estimate the phenotypic variance explained by genome-wide GxE interaction based on GWAS summary statistics for biobank-scale data.
Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Re-analysis and meta-analysis of summary statistics from gene-environment interaction studies.Bioinformatics (Oxford, England) · 2023Pooled it
- Article
- Leveraging polygenic risk scores to infer causal directions in genotype-by-environment interactions between complex traits.Human genetics · 2026Article
- Moderating the Heritability of Body Mass Index by Age and Sex With Genomic Data.Genetic epidemiology · 2026Article
- Methods for modeling gene-environment interplay using polygenic risk scores.Statistical applications in genetics and molecular biology · 2026Review
- Analyzing complex traits and diseases using GxE PRS: genotype-environment interaction in polygenic risk score models.Journal of human genetics · 2025Article
- Incorporating additive genetic effects and linkage disequilibrium information to discover gene-environment interactions using BV-LDER-GE.Genome biology · 2025Article
- Genome-wide association study for plant height and ear height in maize under well-watered and water-stressed conditions.BMC genomics · 2025Article
- PIGEON: a statistical framework for estimating gene-environment interaction for polygenic traits.Nature human behaviour · 2025Article
- Gene-environment interactions in human health.Nature reviews. Genetics · 2024Review
- The goldmine of GWAS summary statistics: a systematic review of methods and tools.BioData mining · 2024Article
- Genotype × environment interactions in gene regulation and complex traits.Nature genetics · 2024Review
- LDER-GE estimates phenotypic variance component of gene-environment interactions in human complex traits accurately with GE interaction summary statistics and full LD information.Briefings in bioinformatics · 2024Article
- Response to anti-IL17 therapy in inflammatory disease is not strongly impacted by genetic background.American journal of human genetics · 2023Article
- A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasets.Nature communications · 2023Article
- Review
- Gene-environment interaction explains a part of missing heritability in human body mass index.Communications biology · 2023Article
- The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores.Communications biology · 2022Article
- Considering hormone-sensitive cancers as a single disease in the UK biobank reveals shared aetiology.Communications biology · 2022Article
- An integrative analysis of genomic and exposomic data for complex traits and phenotypic prediction.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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.
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