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

MLEP: an R package for exploring the maximum likelihood estimates of penetrance parameters.

BMC research notes - 28 Aug 2012

Sugaya Yuki

Abstract excerpt

BACKGROUND: Linkage analysis is a useful tool for detecting genetic variants that regulate a trait of interest, especially genes associated with a given disease. Although penetrance parameters play an important role in determining gene location, they are assigned arbitrary values according to the...

Read the complete abstract on PubMed

Topics

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

Share to Computer Graphics
Share to Computer Simulation
Share to Likelihood Functions

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Lod Score

Share to Models, Statistical

Share to Penetrance

Share to Reproducibility of Results

Share to Software Design

Source

Open in PubMed Open full text

Identifiers

PMID: 22929166
DOI: 10.1186/1756-0500-5-465
PMCID: PMC3537736

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-22929166-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 11 closest

MLEP: an R package for exploring the maximum likelihood estimates of penetrance parameters.PMID 22929166Read ↗

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

Parameter estimation and quantitative parametric linkage analysis with GENEHUNTER-QMOD.Semantic proximity Read ↗

Computation of the posterior probability of linkage using 'high effect' genetic model priors.Semantic proximity Read ↗

Model-free linkage analysis using likelihoods.Semantic proximity Read ↗

An EM algorithm for obtaining maximum likelihood estimates in the multi-phenotype variance components linkage model.Semantic proximity Read ↗

A study comparing precision of the maximum multipoint heterogeneity LOD statistic to three model-free multipoint linkage methods.Semantic proximity Read ↗

The cluster variation method for efficient linkage analysis on extended pedigrees.Semantic proximity Read ↗

Maximum likelihood estimates of two-locus recombination fractions under some natural inequality restrictions.Semantic proximity Read ↗

Assessing accuracy in linkage analysis by means of confidence regions.Semantic proximity Read ↗

Calculation of multipoint likelihoods using flanking marker data: a simulation study.Semantic proximity Read ↗

Exact genetic linkage computations for general pedigrees.Semantic proximity Read ↗

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