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

Robust joint analysis allowing for model uncertainty in two-stage genetic association studies.

BMC bioinformatics - 7 Jan 2011

Pan Dongdong, Li Qizhai, Jiang Ningning, Liu Aiyi, Yu Kai

Abstract excerpt

BACKGROUND: The cost efficient two-stage design is often used in genome-wide association studies (GWASs) in searching for genetic loci underlying the susceptibility for complex diseases. Replication-based analysis, which considers data from each stage separately, often suffers from loss of efficiency. Joint test that combines data from both stages has been proposed and widely used to improve efficiency. However,...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to Gene Frequency
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Genetic

Share to Models, Statistical

Share to Monte Carlo Method

Share to Polymorphism, Single Nucleotide

Share to Uncertainty

Source

Open in PubMed Open full text

Identifiers

PMID: 21211060
DOI: 10.1186/1471-2105-12-9
PMCID: PMC3027114

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

Robust joint analysis allowing for model uncertainty in two-stage genetic association studies.PMID 21211060Read ↗

Robust joint analysis with data fusion in two-stage quantitative trait genome-wide association studies.Semantic proximity Read ↗

A robust test for two-stage design in genome-wide association studies.Semantic proximity Read ↗

CMAX3: A Robust Statistical Test for Genetic Association Accounting for Covariates.Semantic proximity Read ↗

MAX precision test of the Genome-wide association study under two-stage designSemantic proximity Read ↗

A novel strategy for detecting multiple loci in Genome-Wide Association Studies of complex diseases.Semantic proximity Read ↗

Robust Mantel-Haenszel test under genetic model uncertainty allowing for covariates in case-control association studies.Semantic proximity Read ↗

A robust genome-wide scan statistic of the Wellcome Trust Case-Control Consortium.Semantic proximity Read ↗

Robust association tests under different genetic models, allowing for binary or quantitative traits and covariates.Semantic proximity Read ↗

Jointly determining significance levels of primary and replication studies by controlling the false discovery rate in two-stage genome-wide association studies.Semantic proximity Read ↗

A general framework for two-stage analysis of genome-wide association studies and its application to case-control studies.Semantic proximity Read ↗

GWAR: robust analysis and meta-analysis of genome-wide association studies.Semantic proximity Read ↗

Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies.Semantic proximity Read ↗

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