ArticleGenetic epidemiology2014
A versatile omnibus test for detecting mean and variance heterogeneity.
Article in Genetic epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
34 citing papers in PubMed.
- Quantitative trait loci, G×E and G×G for glycemic traits: response to metformin and placebo in the Diabetes Prevention Program (DPP).Journal of human genetics · 2022Trial
- Common and rare genetic variant associations with cognitive performance across development in British birth cohorts.Nature human behaviour · 2026Article
- A Robust Association Test Leveraging Unknown Genetic Interactions: Application to Cystic Fibrosis Lung Disease.Genetic epidemiology · 2025Article
- Three Loci Affecting Variance of Body Mass Index in African Americans and Sub-Saharan Africans.Genetic epidemiology · 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
- Systematic discovery of gene-environment interactions underlying the human plasma proteome in UK Biobank.Nature communications · 2024Article
- A new test for trait mean and variance detects unreported loci for blood-pressure variation.American journal of human genetics · 2024Article
- Detecting genetic effects on phenotype variability to capture gene-by-environment interactions: a systematic method comparison.G3 (Bethesda, Md.) · 2024Review
- Simultaneous modeling of multivariate heterogeneous responses and heteroskedasticity via a two-stage composite likelihood.Biometrical journal. Biometrische Zeitschrift · 2023Article
- Transcriptome-wide gene-gene interaction associations elucidate pathways and functional enrichment of complex traits.PLoS genetics · 2023Article
- Education interacts with genetic variants near GJD2, RBFOX1, LAMA2, KCNQ5 and LRRC4C to confer susceptibility to myopia.PLoS genetics · 2022Article
- Article
- Accounting for nonlinear effects of gene expression identifies additional associated genes in transcriptome-wide association studies.Human molecular genetics · 2022Article
- gJLS2: an R package for generalized joint location and scale analysis in X-inclusive genome-wide association studies.G3 (Bethesda, Md.) · 2022Article
- A robust mean and variance test with application to high-dimensional phenotypes.European journal of epidemiology · 2022Review
- Leveraging phenotypic variability to identify genetic interactions in human phenotypes.American journal of human genetics · 2021Article
- Variance heterogeneity genome-wide mapping for cadmium in bread wheat reveals novel genomic loci and epistatic interactions.The plant genome · 2020Article
- High-Order Association Mapping for Expression Quantitative Trait Loci.Methods in molecular biology (Clifton, N.J.) · 2020Article
- Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank.Science advances · 2019Article
- Beyond the traditional simulation design for evaluating type 1 error control: From the "theoretical" null to "empirical" null.Genetic epidemiology · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Recent research has revealed loci that display variance heterogeneity through various means such as biological disruption, linkage disequilibrium (LD), gene-by-gene (G × G), or gene-by-environment interaction. We propose a versatile likelihood ratio test that allows joint testing for mean and variance heterogeneity (LRT(MV)) or either effect alone (LRT(M) or LRT(V)) in the presence of covariates. Using extensive simulations for our method and others, we found that all parametric tests were sensitive to nonnormality regardless of any trait transformations. Coupling our test with the parametric bootstrap solves this issue. Using simulations and empirical data from a known mean-only functional variant, we demonstrate how LD can produce variance-heterogeneity loci (vQTL) in a predictable fashion based on differential allele frequencies, high D', and relatively low r² values. We propose that a joint test for mean and variance heterogeneity is more powerful than a variance-only test for detecting vQTL. This takes advantage of loci that also have mean effects without sacrificing much power to detect variance only effects. We discuss using vQTL as an approach to detect G × G interactions and also how vQTL are related to relationship loci, and how both can create prior hypothesis for each other and reveal the relationships between traits and possibly between components of a composite trait.
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Registered trials
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.