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

A likelihood-based trait-model-free approach for linkage detection of binary trait.

Biometrics - 1 Mar 2010

Basu S, Stephens M, Pankow J S, Thompson E A

Abstract excerpt

Trait-model-free (or "allele-sharing") approach to linkage analysis is a popular tool in genetic mapping of complex traits, because of the absence of explicit assumptions about the underlying mode of inheritance of the trait. The likelihood framework introduced by Kong and Cox (1997, American Journal of Human Genetics 61, 1179-1188) allows calculation of accurate p-values and LOD scores to test for linkage...

Read the complete abstract on PubMed

Topics

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

Share to Chromosomes, Human, Pair 2
Share to Computer Simulation
Share to Diabetes Mellitus, Type 2

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

Share to Genetic Linkage

Share to Genetic Markers

Share to Lod Score

Share to Models, Statistical

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 19459835
DOI: 10.1111/j.1541-0420.2009.01270.x
PMCID: PMC3118475

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

A likelihood-based trait-model-free approach for linkage detection of binary trait.PMID 19459835Read ↗

Exact trait-model-free tests for linkage detection in pedigrees.Semantic proximity Read ↗

Model-Free Linkage Analysis of a Binary Trait.Semantic proximity Read ↗

The Maximum-Likelihood-Binomial method revisited: a robust approach for model-free linkage analysis of quantitative traits in large sibships.Semantic proximity Read ↗

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

Model-Based Linkage Analysis of a Binary Trait.Semantic proximity Read ↗

Methods for multipoint disease mapping using linkage disequilibrium.Semantic proximity Read ↗

Joint modeling of linkage and association: identifying SNPs responsible for a linkage signal.Semantic proximity Read ↗

Genome-wide two-marker linkage disequilibrium mapping of quantitative trait loci.Semantic proximity Read ↗

Model-free linkage analysis using likelihoods.Semantic proximity Read ↗

Multilocus linkage tests based on affected relative pairs.Semantic proximity Read ↗

Log-linear models for gene mapping with affected sib pair data.Semantic proximity Read ↗

Linkage disequilibrium maps and disease-association mapping.Semantic proximity Read ↗

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