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

Heterogeneity: GAW Group 15.

Genetic epidemiology - 1 Jan 2005

Vieland Veronica J

Abstract excerpt

This paper summarizes the contributions to Group 15 of Genetic Analysis Workshop (GAW) 14, which focused on methods for dealing with heterogeneity in linkage and association analysis. A variety of methods were employed, ranging from manipulation of the phenotype and/or identification of endophenotypes prior to analysis, to statistical methods allowing for heterogeneity in the analysis of simple dichotomous...

Topics

Alcoholism
Chromosome Mapping
Cytogenetic Analysis
Data Interpretation, Statistical
Genetic Heterogeneity
Genetic Predisposition to Disease
Humans
Phenotype

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 16342189
DOI: 10.1002/gepi.20118

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 30 Aug 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Heterogeneity: GAW Group 15.PMID 16342189Read ↗

Dissection of heterogeneous phenotypes for quantitative trait mapping.Semantic proximity Read ↗

Construction of endophenotypes for complex diseases in the presence of heterogeneity.Semantic proximity Read ↗

Regression and data mining methods for analyses of multiple rare variants in the Genetic Analysis Workshop 17 mini-exome data.Semantic proximity Read ↗

Summary of contributions to GAW Group 5: linkage mapping methods, Problem 2.Semantic proximity Read ↗

Construction of the model for the Genetic Analysis Workshop 14 simulated data: genotype-phenotype relationships, gene interaction, linkage, association, disequilibrium, and ascertainment effects for a complex phenotype.Semantic proximity Read ↗

Meta-analysis of genetic association studies under heterogeneity.Semantic proximity Read ↗

Summary of results and discussions from the gene-based tests group at Genetic Analysis Workshop 18.Semantic proximity Read ↗

Association mapping: methodologies, strategies, and issues.Semantic proximity Read ↗

Approaches to detecting gene x gene interaction in Genetic Analysis Workshop 14 pedigrees.Semantic proximity Read ↗

Genome-wide linkage and association mapping of disease genes with the GAW14 simulated datasets.Semantic proximity Read ↗

On the contribution of genetic heterogeneity to complex traitsSemantic proximity Read ↗

The impact of phenotypic and genetic heterogeneity on results of genome wide association studies of complex diseases.Semantic proximity Read ↗

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