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 powerful and robust method for mapping quantitative trait loci in general pedigrees.

American journal of human genetics - 1 Jul 2005

Diao G, Lin D Y

Abstract excerpt

The variance-components model is the method of choice for mapping quantitative trait loci in general human pedigrees. This model assumes normally distributed trait values and includes a major gene effect, random polygenic and environmental effects, and covariate effects. Violation of the normality assumption has detrimental effects on the type I error and power. One possible way of achieving normality is to...

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 Computer Simulation
Share to Likelihood Functions

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Lod Score

Share to Models, Genetic

Share to Monoamine Oxidase

Share to Pedigree

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 15918154
DOI: 10.1086/431683
PMCID: PMC1226198

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A powerful and robust method for mapping quantitative trait loci in general pedigrees.PMID 15918154Read ↗

Variance-components methods for linkage and association analysis of ordinal traits in general pedigrees.Semantic proximity Read ↗

Genome-wide linkage analysis using genetic variance components of alcohol dependency-associated censored and continuous traits.Semantic proximity Read ↗

Bayesian mapping of quantitative trait loci under the identity-by-descent-based variance component model.Semantic proximity Read ↗

Variance component methods for analysis of complex phenotypes.Semantic proximity Read ↗

A new method of linkage analysis using LOD scores for quantitative traits supports linkage of monoamine oxidase activity to D17S250 in the Collaborative Study on the Genetics of Alcoholism pedigrees.Semantic proximity Read ↗

Penalized variance components for association of multiple genes with traits.Semantic proximity Read ↗

Variance component methods for detecting complex trait loci.Semantic proximity Read ↗

Variance components for statistical genetics: applications in medical research to characteristics related to human diseases and health.Semantic proximity Read ↗

Exact multipoint quantitative-trait linkage analysis in pedigrees by variance components.Semantic proximity Read ↗

A variance components factor model for genetic association studies: a Bayesian analysis.Semantic proximity Read ↗

Robust association tests for quantitative traits on the X chromosome.Semantic proximity Read ↗

Smoothing of the bivariate LOD score for non-normal quantitative traits.Semantic proximity Read ↗

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