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

GWAR: robust analysis and meta-analysis of genome-wide association studies.

Bioinformatics (Oxford, England) - 15 May 2017

Dimou Niki L, Tsirigos Konstantinos D, Elofsson Arne, Bagos Pantelis G

Abstract excerpt

MOTIVATION: In the context of genome-wide association studies (GWAS), there is a variety of statistical techniques in order to conduct the analysis, but, in most cases, the underlying genetic model is usually unknown. Under these circumstances, the classical Cochran-Armitage trend test (CATT) is suboptimal. Robust procedures that maximize the power and preserve the nominal type I error rate are preferable....

Read the complete abstract on PubMed

Topics

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

Share to Genetics, Population
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genomics

Share to Hypertension

Share to Meta-Analysis as Topic

Share to Models, Genetic

Share to Software

Share to Statistics as Topic

Source

Identifiers

PMID: 28108451
DOI: 10.1093/bioinformatics/btx008

Genes

MAX

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

GWAR: robust analysis and meta-analysis of genome-wide association studies.PMID 28108451Read ↗

A unifying framework for robust association testing, estimation, and genetic model selection using the generalized linear model.Semantic proximity Read ↗

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

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

Genome-Wide Association Analysis Using R.Semantic proximity Read ↗

Multivariate Methods for Meta-Analysis of Genetic Association Studies.Semantic proximity Read ↗

GWAMA: software for genome-wide association meta-analysis.Semantic proximity Read ↗

Pearson's test, trend test, and MAX are all trend tests with different types of scores.Semantic proximity Read ↗

Methods for meta-analyses of genome-wide association studies: critical assessment of empirical evidence.Semantic proximity Read ↗

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

Robust linear regression methods in association studies.Semantic proximity Read ↗

Development and application of genomic control methods for genome-wide association studies using non-additive models.Semantic proximity Read ↗

Efficient approximation of P-value of the maximum of correlated tests, with applications to genome-wide association studies.Semantic proximity Read ↗

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