ArticleAmerican journal of human genetics2015
A Joint Location-Scale Test Improves Power to Detect Associated SNPs, Gene Sets, and Pathways.
Article in American journal of human genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis approach with filtering for identifying gene-level gene-environment interactions.Genetic epidemiology · 2018Pooled it
- A comprehensive evaluation of computational models for identifying methylation variability in DNA methylation arrays.Heredity · 2026Review
- X chromosome-wide association studies for quantitative trait loci based on the mixture of general pedigrees and additional unrelated individuals.Briefings in bioinformatics · 2026Article
- Single-cell RNA-sequencing co-expression analysis with CFTR and CF modifier genes in lung tissue.Scientific reports · 2025Article
- On the analysis of genetic association with long-read sequencing data.PLoS genetics · 2025Article
- Detecting latent interaction effects when analyzing binary traits.PLoS genetics · 2025Article
- A Robust Association Test Leveraging Unknown Genetic Interactions: Application to Cystic Fibrosis Lung Disease.Genetic epidemiology · 2025Article
- Detecting gene-environment interactions from multiple continuous traits.Bioinformatics (Oxford, England) · 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
- Searching for gene-gene interactions through variance quantitative trait loci of 29 continuous Taiwan Biobank phenotypes.Frontiers in genetics · 2024Article
- X chromosome-wide association study of quantitative biomarkers from the Alzheimer's Disease Neuroimaging Initiative study.Frontiers in aging neuroscience · 2023Article
- Article
- 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
- Cystic fibrosis-related diabetes onset can be predicted using biomarkers measured at birth.Genetics in medicine : official journal of the American College of Medical Genetics · 2021Article
- Finding associations in a heterogeneous setting: statistical test for aberration enrichment.Genome medicine · 2021Article
- Cystic Fibrosis Lung Disease Modifiers and Their Relevance in the New Era of Precision Medicine.Genes · 2021Review
- FEATURE SELECTION FOR GENERALIZED VARYING COEFFICIENT MIXED-EFFECT MODELS WITH APPLICATION TO OBESITY GWAS.The annals of applied statistics · 2020Article
- High-Order Association Mapping for Expression Quantitative Trait Loci.Methods in molecular biology (Clifton, N.J.) · 2020Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Gene-based, pathway, and other multivariate association methods are motivated by the possibility of GxG and GxE interactions; however, accounting for such interactions is limited by the challenges associated with adequate modeling information. Here we propose an easy-to-implement joint location-scale (JLS) association testing framework for single-variant and multivariate analysis that accounts for interactions without explicitly modeling them. We apply the JLS method to a gene-set analysis of cystic fibrosis (CF) lung disease, which is influenced by multiple environmental and genetic factors. We identify and replicate an association between the constituents of the apical plasma membrane and CF lung disease (p = 0.0099 and p = 0.0180, respectively) and highlight a role for the SLC9A3-SLC9A3R1/2-EZR complex in contributing to CF lung disease. Many association studies could benefit from re-analysis with the JLS method that leverages complex genetic architecture for SNP, gene, and pathway identification. Analytical verification, simulation, and additional proof-of-principle applications support our approach.
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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.