Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Detecting gene-environment interactions from multiple continuous traits.

Bioinformatics (Oxford, England) - 1 Jul 2024

Lin Wan-Yu

Abstract excerpt

MOTIVATION: Genetic variants present differential effects on humans according to various environmental exposures, the so-called "gene-environment interactions" (GxE). Many diseases can be diagnosed with multiple traits, such as obesity, diabetes, and dyslipidemia. I developed a multivariate scale test (MST) for detecting the GxE of a disease with several continuous traits. Given a significant MST result, I...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Gene-Environment Interaction
Share to Gene Frequency
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 38917408
DOI: 10.1093/bioinformatics/btae419
PMCID: PMC11254352

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Detecting gene-environment interactions from multiple continuous traits.PMID 38917408Read ↗

Leveraging phenotypic variability to identify genetic interactions in human phenotypesSemantic proximity Read ↗

Leveraging phenotypic variability to identify genetic interactions in human phenotypes.Semantic proximity Read ↗

Test Gene-Environment Interactions for Multiple Traits in Sequencing Association StudiesSemantic proximity Read ↗

GEM: Scalable and flexible gene-environment interaction analysis in millions of samplesSemantic proximity Read ↗

Distinct explanations underlie gene-environment interactions in the UK Biobank.Semantic proximity Read ↗

Analyzing Complex Traits and Diseases using GxE PRS: Genotype-Environment Interaction in Polygenic Risk Score ModelsSemantic proximity Read ↗

Multi-trait analysis of gene-by-environment interactions in large-scale genetic studies.Semantic proximity Read ↗

Exploring multivariate gene-environment interactions : models and applicationsSemantic proximity Read ↗

GEM: scalable and flexible gene-environment interaction analysis in millions of samples.Semantic proximity Read ↗

A Varying Coefficient Model to Jointly Test Genetic and Gene-Environment Interaction Effects.Semantic proximity Read ↗

Distinct explanations underlie gene-environment interactions in the UK BiobankSemantic proximity Read ↗

GxEsum: a novel approach to estimate the phenotypic variance explained by genome-wide GxE interaction based on GWAS summary statistics for biobank-scale data.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.