Bayesian haplotype inference for multiple linked single-nucleotide polymorphisms.

doi:10.1086/338446

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Article

Bayesian haplotype inference for multiple linked single-nucleotide polymorphisms.

American journal of human genetics - 1 Jan 2002

Niu Tianhua, Qin Zhaohui S, Xu Xiping, Liu Jun S

Abstract excerpt

Haplotypes have gained increasing attention in the mapping of complex-disease genes, because of the abundance of single-nucleotide polymorphisms (SNPs) and the limited power of conventional single-locus analyses. It has been shown that haplotype-inference methods such as Clark's algorithm, the expectation-maximization algorithm, and a coalescence-based iterative-sampling algorithm are fairly effective and...

Topics

Algorithms
Bayes Theorem
Chromosome Mapping
Chromosomes, Human, Pair 5
Computer Simulation
Cystic Fibrosis Transmembrane Conductance Regulator
Genetic Linkage
Genetic Markers
Haplotypes
Humans
Likelihood Functions

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Models, Genetic

Monte Carlo Method

Peptidyl-Dipeptidase A

Polymorphism, Single Nucleotide

Receptors, Adrenergic, beta-2

Recombination, Genetic

Research Design

Source

Open in PubMed Open full text

Identifiers

PMID: 11741196
DOI: 10.1086/338446
PMCID: PMC448439

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 29 Aug 2026. Prepared record publication-11741196-2026-08-29.1. Manifest publication-graph-cohort-2026-08-29.1.

Source receipt: PubMed via Helena Literature Corpus, retrieved 29 Aug 2026.

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