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

Powerful SNP-set analysis for case-control genome-wide association studies.

American journal of human genetics - 11 Jun 2010

Wu Michael C, Kraft Peter, Epstein Michael P, Taylor Deanne M, Chanock Stephen J, Hunter David J, Lin Xihong

Abstract excerpt

GWAS have emerged as popular tools for identifying genetic variants that are associated with disease risk. Standard analysis of a case-control GWAS involves assessing the association between each individual genotyped SNP and disease risk. However, this approach suffers from limited reproducibility and difficulties in detecting multi-SNP and epistatic effects. As an alternative analytical strategy, we propose...

Read the complete abstract on PubMed

Topics

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

Share to Breast Neoplasms
Share to Genetic Markers

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Genome-Wide Association Study

Share to Polymorphism, Single Nucleotide

Share to Statistics as Topic

Source

Open in PubMed Open full text

Identifiers

PMID: 20560208
DOI: 10.1016/j.ajhg.2010.05.002
PMCID: PMC3032061

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

Powerful SNP-set analysis for case-control genome-wide association studies.PMID 20560208Read ↗

SNP set association analysis for familial data.Semantic proximity Read ↗

Powerful and efficient SNP-set association tests across multiple phenotypes using GWAS summary dataSemantic proximity Read ↗

Gene-based and pathway-based testing for rare-variant association in affected sib pairs.Semantic proximity Read ↗

GEE-based SNP set association test for continuous and discrete traits in family-based association studies.Semantic proximity Read ↗

Kernel machine SNP-set analysis for censored survival outcomes in genome-wide association studies.Semantic proximity Read ↗

Set association analysis of SNP case-control and microarray data.Semantic proximity Read ↗

gsSKAT: Rapid gene set analysis and multiple testing correction for rare-variant association studies using weighted linear kernels.Semantic proximity Read ↗

Gene set analysis of SNP data: benefits, challenges, and future directions.Semantic proximity Read ↗

SNP Set Association Testing for Survival Outcomes in the Presence of Intrafamilial Correlation.Semantic proximity Read ↗

From single-SNP to wide-locus: genome-wide association studies identifying functionally related genes and intragenic regions in small sample studies.Semantic proximity Read ↗

POLARIS: Polygenic LD-adjusted risk score approach for set-based analysis of GWAS data.Semantic proximity Read ↗

Nonlinear post-selection inference for genome-wide association studies.Semantic proximity Read ↗

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