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

Gene-based tests of association.

PLoS genetics - 1 Jul 2011

Huang Hailiang, Chanda Pritam, Alonso Alvaro, Bader Joel S, Arking Dan E

Abstract excerpt

Genome-wide association studies (GWAS) are now used routinely to identify SNPs associated with complex human phenotypes. In several cases, multiple variants within a gene contribute independently to disease risk. Here we introduce a novel Gene-Wide Significance (GWiS) test that uses greedy Bayesian model selection to identify the independent effects within a gene, which are combined to generate a stronger...

Read the complete abstract on PubMed

Topics

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

Share to Models, Genetic
Share to Phenotype
Share to Polymorphism, Single Nucleotide

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Genotype

Share to Computer Simulation

Share to Genetic Predisposition to Disease

Source

Open in PubMed Open full text

Identifiers

PMID: 21829371
DOI: 10.1371/journal.pgen.1002177
PMCID: PMC3145613

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Gene-based tests of association.PMID 21829371Read ↗

COMBAT: A Combined Association Test for Genes Using Summary Statistics.Semantic proximity Read ↗

Robust and powerful tests for rare variants using Fisher's method to combine evidence of association from two or more complementary tests.Semantic proximity Read ↗

The relative power of SNPs and haplotype as genetic markers for association tests.Semantic proximity Read ↗

Estimation of the multiple testing burden for genomewide association studies of nearly all common variants.Semantic proximity Read ↗

Variance-components tests for genetic association with multiple interval-censored outcomes.Semantic proximity Read ↗

Statistical power and significance testing in large-scale genetic studies.Semantic proximity Read ↗

Correction for multiple testing in a gene region.Semantic proximity Read ↗

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

Efficient two-step testing of gene-gene interactions in genome-wide association studies.Semantic proximity Read ↗

Iterative Hard Thresholding in GWAS: Generalized Linear Models, Prior Weights, and Double SparsitySemantic proximity Read ↗

A powerful subset-based method identifies gene set associations and improves interpretation in UK Biobank.Semantic proximity Read ↗

Gene- and pathway-based association tests for multiple traits with GWAS summary statistics.Semantic proximity Read ↗

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