ArticleNature communications2019
Genotype-covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed.
- A biobank-scale method for learning modulators of gene-environment interaction underlying human complex traits from multiple environmental exposures.bioRxiv : the preprint server for biology · 2026Article
- Distinct genetic profiles influence body mass index between infancy and adolescence.Nature communications · 2026Article
- Moderating the Heritability of Body Mass Index by Age and Sex With Genomic Data.Genetic epidemiology · 2026Article
- Posterior estimation of longitudinal variance components from nonlongitudinal data using Bayesian Gaussian process model.Genetics · 2026Article
- Methods for modeling gene-environment interplay using polygenic risk scores.Statistical applications in genetics and molecular biology · 2026Review
- Incorporating additive genetic effects and linkage disequilibrium information to discover gene-environment interactions using BV-LDER-GE.Genome biology · 2025Article
- PIGEON: a statistical framework for estimating gene-environment interaction for polygenic traits.Nature human behaviour · 2025Article
- Improvement of polygenic modeling of blood pressure traits using lifestyle information in the UK Biobank.Genetics · 2025Article
- Genome-Wide Association Study for Weight-Related Traits inAnimals : an open access journal from MDPI · 2025Article
- The integration of quantile regression with 3VmrMLM identifies more QTNs and QTN-by-environment interactions using SNP- and haplotype-based markers.Plant communications · 2025Article
- Evolution, genetic diversity, and health.Nature medicine · 2025Review
- Detecting Non-linear Dependence through Genome Wide Analysis.bioRxiv : the preprint server for biology · 2025Article
- Gene-environment interactions in human health.Nature reviews. Genetics · 2024Review
- A scalable and robust variance components method reveals insights into the architecture of gene-environment interactions underlying complex traits.American journal of human genetics · 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
- Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank.Nature communications · 2024Article
- Unraveling phenotypic variance in metabolic syndrome through multi-omics.Human genetics · 2024Article
- Association between hepatitis A seropositivity and bone mineral density in adolescents and adults: a cross-sectional study using NHANES data.Sao Paulo medical journal = Revista paulista de medicina · 2024Article
- A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasets.Nature communications · 2023Article
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Authors and funding
6 authors.
Funding
Abstract
The genomics era has brought useful tools to dissect the genetic architecture of complex traits. Here we propose a multivariate reaction norm model (MRNM) to tackle genotype-covariate (G-C) correlation and interaction problems. We apply MRNM to the UK Biobank data in analysis of body mass index using smoking quantity as a covariate, finding a highly significant G-C correlation, but only weak evidence for G-C interaction. In contrast, G-C interaction estimates are inflated in existing methods. It is also notable that there is significant heterogeneity in the estimated residual variances (i.e., variances not attributable to factors in the model) across different covariate levels, i.e., residual-covariate (R-C) interaction. We also show that the residual variances estimated by standard additive models can be inflated in the presence of G-C and/or R-C interactions. We conclude that it is essential to correctly account for both interaction and correlation in complex trait analyses.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.