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

Haplotype inference in general pedigrees using the cluster variation method.

Genetics - 1 Oct 2007

Albers Cornelis A, Heskes Tom, Kappen Hilbert J

Abstract excerpt

We present CVMHAPLO, a probabilistic method for haplotyping in general pedigrees with many markers. CVMHAPLO reconstructs the haplotypes by assigning in every iteration a fixed number of the ordered genotypes with the highest marginal probability, conditioned on the marker data and ordered genotypes assigned in previous iterations. CVMHAPLO makes use of the cluster variation method (CVM) to efficiently estimate...

Read the complete abstract on PubMed

Topics

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

Share to Cluster Analysis
Share to Haplotypes
Share to Methods

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

Share to Models, Genetic

Share to Pedigree

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 17660564
DOI: 10.1534/genetics.107.074047
PMCID: PMC2034616

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

Haplotype inference in general pedigrees using the cluster variation method.PMID 17660564Read ↗

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

A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase.Semantic proximity Read ↗

Maximum likelihood haplotyping for general pedigrees.Semantic proximity Read ↗

Conditional probability methods for haplotyping in pedigrees.Semantic proximity Read ↗

Haplotype and Population Structure Inference using Neural Networks in Whole-Genome Sequencing DataSemantic proximity Read ↗

Fine mapping of disease genes via haplotype clustering.Semantic proximity Read ↗

Detection of Mendelian consistent genotyping errors in pedigrees.Semantic proximity Read ↗

Accurate and scalable genome-wide ancestry estimation using haplotype clustersSemantic proximity Read ↗

Haplotyping methods for pedigrees.Semantic proximity Read ↗

A hidden markov model combining linkage and linkage disequilibrium information for haplotype reconstruction and quantitative trait locus fine mapping.Semantic proximity Read ↗

In silico method for inferring genotypes in pedigrees.Semantic proximity Read ↗

Algorithms for inferring haplotypes.Semantic proximity Read ↗

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