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

L-GATOR: Genetic Association Testing for a Longitudinally Measured Quantitative Trait in Samples with Related Individuals.

American journal of human genetics - 5 Apr 2018

Wu Xiaowei, McPeek Mary Sara

Abstract excerpt

In complex-trait mapping, when each subject has multiple measurements of a quantitative trait over time, power for detecting genetic association can be gained by the inclusion of all measurements and not just single time points or averages in the analysis. To increase power and control type 1 error, one should account for dependence among observations for a single individual as well as dependence between...

Read the complete abstract on PubMed

Topics

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

Share to Blood Pressure
Share to Cohort Studies
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Genetic

Share to Phenotype

Share to Quantitative Trait Loci

Share to Software

Share to Systole

Source

Open in PubMed Open full text

Identifiers

PMID: 29625022
DOI: 10.1016/j.ajhg.2018.02.016
PMCID: PMC5985289

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

L-GATOR: Genetic Association Testing for a Longitudinally Measured Quantitative Trait in Samples with Related Individuals.PMID 29625022Read ↗

Fast multiple-trait genome-wide association analysis for correlated longitudinal measurements.Semantic proximity Read ↗

Longitudinal SNP-set association analysis of quantitative phenotypes.Semantic proximity Read ↗

FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets.Semantic proximity Read ↗

MASTOR: mixed-model association mapping of quantitative traits in samples with related individuals.Semantic proximity Read ↗

Longitudinal data analysis for genetic studies in the whole-genome sequencing era.Semantic proximity Read ↗

Longitudinal data analysis for rare variants detection with penalized quadratic inference function.Semantic proximity Read ↗

CERAMIC: Case-Control Association Testing in Samples with Related Individuals, Based on Retrospective Mixed Model Analysis with Adjustment for Covariates.Semantic proximity Read ↗

Retrospective varying coefficient association analysis of longitudinal binary traits: application to the identification of genetic loci associated with hypertensionSemantic proximity Read ↗

Longitudinal analytical approaches to genetic data.Semantic proximity Read ↗

Testing cross-phenotype effects of rare variants in longitudinal studies of complex traits.Semantic proximity Read ↗

Genome-wide association mapping with longitudinal data.Semantic proximity Read ↗

Longitudinal data analysis in genome-wide association studies.Semantic proximity Read ↗

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