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

Standard linkage and association methods identify the mechanism of four susceptibility genes for a simulated complex disease.

BMC genetics - 30 Dec 2005

Pankratz Nathan, Edenberg Ellen, Foroud Tatiana

Abstract excerpt

The simulated dataset of the Genetic Analysis Workshop 14 provided affection status and the presence or absence of 12 traits. It was determined that all affected individuals must have traits E, F and H (EFH phenotype) and they must also have either trait B (B subtype) or traits C, D, and G (CDG subtype). A genome screen was performed, and linkage peaks were identified on chromosomes 1, 3, 5, and 9 using...

Read the complete abstract on PubMed

Topics

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

Share to Chromosome Mapping
Share to Computer Simulation
Share to Disease

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

Share to Genetics, Population

Share to Genome, Human

Share to Lod Score

Share to Penetrance

Share to Reproducibility of Results

Source

Open in PubMed Open full text

Identifiers

PMID: 16451602
DOI: 10.1186/1471-2156-6-S1-S142
PMCID: PMC1866793

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

Standard linkage and association methods identify the mechanism of four susceptibility genes for a simulated complex disease.PMID 16451602Read ↗

Identification of susceptibility loci for complex diseases in a case-control association study using the Genetic Analysis Workshop 14 dataset.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 ↗

Nonparametric linkage and family-based association studies of a simulated complex disorder.Semantic proximity Read ↗

Detecting linkage for a complex disease using simulated extended pedigrees.Semantic proximity Read ↗

Detection and replication of linkage to a complex human disease.Semantic proximity Read ↗

Genetic linkage studies.Semantic proximity Read ↗

Simulated data for a complex genetic trait (problem 2 for GAW11): how the model was developed, and why.Semantic proximity Read ↗

Disease-driven detection of differential inherited SNP modules from SNP network.Semantic proximity Read ↗

Linkage analysis of Genetic Analysis Workshop 12 simulated data based on affected individuals only.Semantic proximity Read ↗

Search for susceptibility genes, gene x gene interactions, and gene x environment interactions utilizing nonparametric linkage analysis.Semantic proximity Read ↗

Linkage analysis of the GAW14 simulated dataset with microsatellite and single-nucleotide polymorphism markers in large pedigrees.Semantic proximity Read ↗

Genome-wide linkage analysis in a general population sample using sigma 2A random effects (SSARs) fitted by Gibbs sampling.Semantic proximity Read ↗

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