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

Iteratively reweighted least squares mapping of quantitative trait loci.

Behavior genetics - 1 Sept 1998

Xu S

Abstract excerpt

Mapping quantitative trait loci (QTL) is a typical problem of regression with uncertain independent variables because the genotype of a putative QTL is not observed. Rather, the genotype is inferred from marker information. The method of maximum likelihood (ML) methods is considered to be the optimal solution for this problem because the distribution of the unobserved QTL genotype is fully taken into account. 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 Genetic Linkage
Share to Genetic Markers

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

Share to Genotype

Share to Likelihood Functions

Share to Models, Genetic

Share to Quantitative Trait, Heritable

Share to Regression Analysis

Source

Identifiers

PMID: 9926616
DOI: 10.1023/a:1021617618150

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 · 12 closest

Iteratively reweighted least squares mapping of quantitative trait loci.PMID 9926616Read ↗

On the differences between maximum likelihood and regression interval mapping in the analysis of quantitative trait loci.Semantic proximity Read ↗

Generalized linear model for mapping discrete trait loci implemented with LASSO algorithm.Semantic proximity Read ↗

Mapping quantitative trait Loci using generalized estimating equations.Semantic proximity Read ↗

A random model approach to interval mapping of quantitative trait loci.Semantic proximity Read ↗

A robust multiple-locus method for quantitative trait locus analysis of non-normally distributed multiple traits.Semantic proximity Read ↗

Power and precision of alternate methods for linkage disequilibrium mapping of quantitative trait loci.Semantic proximity Read ↗

Assessing the value of phenotypic information from non-genotyped animals for QTL mapping of complex traits in real and simulated populations.Semantic proximity Read ↗

Maximum likelihood analysis of quantitative trait loci under selective genotyping.Semantic proximity Read ↗

A decision rule for quantitative trait locus detection under the extended Bayesian LASSO model.Semantic proximity Read ↗

Statistical properties of interval mapping methods on quantitative trait loci location: impact on QTL/eQTL analyses.Semantic proximity Read ↗

Multiple-trait quantitative trait locus mapping with incomplete phenotypic data.Semantic proximity Read ↗

Selecting informative traits for multivariate quantitative trait locus mapping helps to gain optimal power.Semantic proximity Read ↗

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