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

Comparison of methods incorporating quantitative covariates into affected sib pair linkage analysis.

Genetic epidemiology - 1 Jan 2006

Tsai Hui-Ju, Weeks Daniel E

Abstract excerpt

For complex traits, it may be possible to increase the power to detect linkage if one takes advantage of covariate information. Several statistics have been proposed that incorporate quantitative covariate information into affected sib pair (ASP) linkage analysis. However, it is not clear how these statistics perform under different gene-environment (G x E) interactions. We compare representative statistics to...

Read the complete abstract on PubMed

Topics

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

Share to Analysis of Variance
Share to Chromosome Mapping
Share to Cytogenetic Analysis

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Genotype

Share to Models, Genetic

Share to Models, Statistical

Share to Quantitative Trait Loci

Source

Identifiers

PMID: 16355406
DOI: 10.1002/gepi.20126

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Comparison of methods incorporating quantitative covariates into affected sib pair linkage analysis.PMID 16355406Read ↗

Interpreting analyses of continuous covariates in affected sibling pair linkage studies.Semantic proximity Read ↗

Testing genetic linkage with relative pairs and covariates by quasi-likelihood score statistics.Semantic proximity Read ↗

Genetic linkage studies.Semantic proximity Read ↗

Affected relative pairs and simultaneous search for two-locus linkage in the presence of epistasis.Semantic proximity Read ↗

Multivariate and multilocus variance components method, based on structural relationships to assess quantitative trait linkage via SEGPATH.Semantic proximity Read ↗

Linkage mapping of quantitative trait loci in humans: an overview.Semantic proximity Read ↗

Linkage analysis.Semantic proximity Read ↗

Increased efficiency of case-control association analysis by using allele-sharing and covariate information.Semantic proximity Read ↗

Bias toward the null hypothesis in model-free linkage analysis is highly dependent on the test statistic used.Semantic proximity Read ↗

A general conditional-logistic model for affected-relative-pair linkage studies.Semantic proximity Read ↗

Linkage analysis: principles and methods for the analysis of human quantitative traits.Semantic proximity Read ↗

Testing association and linkage using affected-sib-parent study designs.Semantic proximity Read ↗

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