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

Multiple subsampling of dense SNP data localizes disease genes with increased precision.

Human heredity - 1 Jan 2010

Stewart William C L, Peljto Anna L, Greenberg David A

Abstract excerpt

BACKGROUND/AIMS: Current linkage studies detect and localize trait loci using genotypes sampled at hundreds of thousands of single nucleotide polymorphisms (SNPs). Such data should provide precise estimates of trait location once linkage has been established. However, correlations between nearby SNPs can distort the information about trait location. Traditionally, when faced with this dilemma, three approaches...

Read the complete abstract on PubMed

Topics

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

Share to Disease
Share to Family
Share to Genes

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Association Studies

Share to Linkage Disequilibrium

Share to Models, Theoretical

Share to Sampling Studies

Share to Sensitivity and Specificity

Source

Open in PubMed Open full text

Identifiers

PMID: 20029227
DOI: 10.1159/000267995
PMCID: PMC2918647

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

Multiple subsampling of dense SNP data localizes disease genes with increased precision.PMID 20029227Read ↗

Finding disease genes: a fast and flexible approach for analyzing high-throughput data.Semantic proximity Read ↗

A spatial probit model for fine-scale mapping of disease genes.Semantic proximity Read ↗

Leveraging genetic variability across populations for the identification of causal variants.Semantic proximity Read ↗

Association testing strategy for data from dense marker panels.Semantic proximity Read ↗

Enhanced localization of genetic samples through linkage-disequilibrium correction.Semantic proximity Read ↗

Localising loci underlying complex trait variation using Regional Genomic Relationship Mapping.Semantic proximity Read ↗

A statistical approach for rare-variant association testing in affected sibships.Semantic proximity Read ↗

Linkage effects and analysis of finite sample errors in the HapMap.Semantic proximity Read ↗

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

Obtaining accurate p values from a dense SNP linkage scan.Semantic proximity Read ↗

Handling linkage disequilibrium in qualitative trait linkage analysis using dense SNPs: a two-step strategy.Semantic proximity Read ↗

A simple method to localise pleiotropic susceptibility loci using univariate linkage analyses of correlated traits.Semantic proximity Read ↗

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