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

Valid Monte Carlo permutation tests for genetic case-control studies with missing genotypes.

Genetic epidemiology - 1 May 2014

Kinnamon Daniel D, Martin Eden R

Abstract excerpt

Monte Carlo permutation tests can be formally constructed by choosing a set of permutations of individual indices and a real-valued test statistic measuring the association between genotypes and affection status. In this paper, we develop a rigorous theoretical framework for verifying the validity of these tests when there are missing genotypes. We begin by specifying a nonparametric probability model for the...

Read the complete abstract on PubMed

Topics

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

Share to Case-Control Studies
Share to Genotype
Share to Haplotypes

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Models, Genetic

Share to Monte Carlo Method

Share to Probability

Share to Reproducibility of Results

Source

Open in PubMed Open full text

Identifiers

PMID: 24723341
DOI: 10.1002/gepi.21805
PMCID: PMC6391735

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 9 closest

Valid Monte Carlo permutation tests for genetic case-control studies with missing genotypes.PMID 24723341Read ↗

A permutation procedure to correct for confounders in case-control studies, including tests of rare variation.Semantic proximity Read ↗

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

MCPerm: a Monte Carlo permutation method for accurately correcting the multiple testing in a meta-analysis of genetic association studies.Semantic proximity Read ↗

Avoiding the high Bonferroni penalty in genome-wide association studies.Semantic proximity Read ↗

A simulation study of permutation, bootstrap, and gene dropping for assessing statistical significance in the case of unequal relatedness.Semantic proximity Read ↗

A note on permutation tests for genetic association analysis of quantitative traits when variances are heterogeneous.Semantic proximity Read ↗

A Monte Carlo permutation test for random mating using genome sequences.Semantic proximity Read ↗

Most powerful permutation invariant tests for relatedness hypotheses using genotypic data.Semantic proximity Read ↗

The influence of twin pair permutation on likelihood-based-estimates of genetic variance that require ordering of twin-pairs.Semantic proximity Read ↗

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