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 statistically robust variance-components approach for quantitative trait linkage analysis.

Annals of human genetics - 1 May 1999

Wang J, Guerra R, Cohen J

Abstract excerpt

Previously we showed (Wang, Guerra & Cohen 1998) that a statistically robust version of the Haseman & Elston (1972) sib-pair method greatly increased power to detect linkage in the presence of outliers. In this paper we report on M-estimation to accommodate outliers in the variance-components approach to linkage analysis developed by Amos (1994). Simulations show that in the presence of outliers the robust...

Read the complete abstract on PubMed

Topics

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

Share to Analysis of Variance
Share to Cholesterol, LDL
Share to Family Health

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Hyperlipoproteinemia Type II

Share to Lipase

Share to Nuclear Family

Share to Quantitative Trait, Heritable

Share to Statistics as Topic

Source

Identifiers

PMID: 10738537
DOI: 10.1046/j.1469-1809.1999.6330249.x

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A statistically robust variance-components approach for quantitative trait linkage analysis.PMID 10738537Read ↗

Efficiency robust statistics for genetic linkage and association studies under genetic model uncertaintySemantic proximity Read ↗

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

Testing for linkage under robust genetic models.Semantic proximity Read ↗

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

A fast linkage method for population GWAS cohorts with related individuals.Semantic proximity Read ↗

Robust LOD scores for variance component-based linkage analysis.Semantic proximity Read ↗

A comparison of univariate and multivariate tests for genetic linkage.Semantic proximity Read ↗

Linkage analysis for complex diseases using variance component analysis: SOLAR.Semantic proximity Read ↗

Gamma regression improves Haseman-Elston and variance components linkage analysis for sib-pairs.Semantic proximity Read ↗

Quantitative trait linkage analysis by generalized estimating equations: unification of variance components and Haseman-Elston regression.Semantic proximity Read ↗

Least squares estimation of variance components for linkage.Semantic proximity Read ↗

A robust DF-REML framework for variance components estimation in genetic studies.Semantic proximity Read ↗

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