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

gJLS2: an R package for generalized joint location and scale analysis in X-inclusive genome-wide association studies.

G3 (Bethesda, Md.) - 4 Apr 2022

Deng Wei Q, Sun Lei

Abstract excerpt

A joint analysis of location and scale can be a powerful tool in genome-wide association studies to uncover previously overlooked markers that influence a quantitative trait through both mean and variance, as well as to prioritize candidates for gene-environment interactions. This approach has recently been generalized to handle related samples, dosage data, and the analytically challenging X-chromosome. We...

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 Genome
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phenotype

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 35201341
DOI: 10.1093/g3journal/jkac049
PMCID: PMC8982384

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

gJLS2: an R package for generalized joint location and scale analysis in X-inclusive genome-wide association studies.PMID 35201341Read ↗

Detecting gene-environment interactions from multiple continuous traits.Semantic proximity Read ↗

A Robust Association Test Leveraging Unknown Genetic Interactions: Application to Cystic Fibrosis Lung Disease.Semantic proximity Read ↗

Local Joint Testing Improves Power and Identifies Hidden Heritability in Association Studies.Semantic proximity Read ↗

Choice of phenotype scale is critical in biobank-based G×E testsSemantic proximity Read ↗

A robust mean and variance test with application to high-dimensional phenotypes.Semantic proximity Read ↗

A robust association test leveraging unknown genetic interactions: Application to cystic fibrosis lung diseaseSemantic proximity Read ↗

A Joint Location-Scale Test Improves Power to Detect Associated SNPs, Gene Sets, and Pathways.Semantic proximity Read ↗

Analytical strategies to include the X-chromosome in variance heterogeneity analyses: evidence for trait-specific polygenic variance structureSemantic proximity Read ↗

Accounting for genetic effect heterogeneity in fine-mapping and improving power to detect gene-environment interactions with SharePro.Semantic proximity Read ↗

Bayesian multivariant fine mapping using the Laplace prior.Semantic proximity Read ↗

xQTLbiolinks: a comprehensive and scalable tool for integrative analysis of molecular QTLs.Semantic proximity Read ↗

Performing QTL and eQTL Analyses with the R-Package GenomicTools.Semantic proximity Read ↗

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