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

Improved power by use of a weighted score test for linkage disequilibrium mapping.

American journal of human genetics - 1 Feb 2007

Wang Tao, Elston Robert C

Abstract excerpt

Association studies offer an exciting approach to finding underlying genetic variants of complex human diseases. However, identification of genetic variants still includes difficult challenges, and it is important to develop powerful new statistical methods. Currently, association methods may depend on single-locus analysis--that is, analysis of the association of one locus, which is typically a single-nucleotide...

Read the complete abstract on PubMed

Topics

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

Share to Computer Simulation
Share to Genetic Variation
Share to Genotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Linkage Disequilibrium

Share to Models, Genetic

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 17236140
DOI: 10.1086/511312
PMCID: PMC1785334

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

Improved power by use of a weighted score test for linkage disequilibrium mapping.PMID 17236140Read ↗

A comprehensive comparison of multilocus association methods with summary statistics in genome-wide association studies.Semantic proximity Read ↗

Rare variant association test with multiple phenotypes.Semantic proximity Read ↗

Power comparisons between similarity-based multilocus association methods, logistic regression, and score tests for haplotypes.Semantic proximity Read ↗

A unified framework for detecting genetic association with multiple SNPs in a candidate gene or region: contrasting genotype scores and LD patterns between cases and controls.Semantic proximity Read ↗

Approximate score-based testing with application to multivariate trait association analysis.Semantic proximity Read ↗

The power of transmission disequilibrium tests for quantitative traits.Semantic proximity Read ↗

General score tests for associations of genetic markers with disease using cases and their parents.Semantic proximity Read ↗

An Optimally Weighted Combination Method to Detect Novel Disease Associated Genes Using Publicly Available GWAS Summary DataSemantic proximity Read ↗

Association score testing for rare variants and binary traits in family data with shared controls.Semantic proximity Read ↗

A kernel regression approach to gene-gene interaction detection for case-control studies.Semantic proximity Read ↗

Powerful multi-marker association tests: unifying genomic distance-based regression and logistic regression.Semantic proximity Read ↗

Association mapping by generalized linear regression with density-based haplotype clustering.Semantic proximity Read ↗

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