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

A fast non-parametric test of association for multiple traits.

Genome biology - 12 Oct 2023

Garrido-Martín Diego, Calvo Miquel, Reverter Ferran, Guigó Roderic

Abstract excerpt

The increasing availability of multidimensional phenotypic data in large cohorts of genotyped individuals requires efficient methods to identify genetic effects on multiple traits. Permutational multivariate analysis of variance (PERMANOVA) offers a powerful non-parametric approach. However, it relies on permutations to assess significance, which hinders the analysis of large datasets. Here, we derive the...

Read the complete abstract on PubMed

Topics

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

Share to Chromosome Mapping
Share to Genome-Wide Association Study
Share to Genotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Genetic

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 37828616
DOI: 10.1186/s13059-023-03076-8
PMCID: PMC10571397

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A fast non-parametric test of association for multiple traits.PMID 37828616Read ↗

A fast non-parametric test of association for multiple traitsSemantic proximity Read ↗

PERMORY: an LD-exploiting permutation test algorithm for powerful genome-wide association testing.Semantic proximity Read ↗

So many correlated tests, so little time! Rapid adjustment of P values for multiple correlated tests.Semantic proximity Read ↗

PRESTO: rapid calculation of order statistic distributions and multiple-testing adjusted P-values via permutation for one and two-stage genetic association studies.Semantic proximity Read ↗

Estimation of permutation-based metabolome-wide significance thresholdsSemantic proximity Read ↗

Evaluation of an approximation method for assessment of overall significance of multiple-dependent tests in a genomewide association study.Semantic proximity Read ↗

A maximum kernel-based association test to detect the pleiotropic genetic effects on multiple phenotypes.Semantic proximity Read ↗

Efficient computation of significance levels for multiple associations in large studies of correlated data, including genomewide association studies.Semantic proximity Read ↗

Hypothesis testing at the extremes: fast and robust association for high-throughput data.Semantic proximity Read ↗

Kernel-smoothed permutation for extreme P-value estimation in genetic association studies.Semantic proximity Read ↗

Efficient p-value estimation in massively parallel testing problems.Semantic proximity Read ↗

Permutation testing in the presence of polygenic variation.Semantic proximity Read ↗

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