ArticleAmerican journal of human genetics1998
Disequilibrium likelihoods for fine-scale mapping of a rare allele.
Article in American journal of human genetics, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 61 citations in OpenAlex.
- Review
- Detecting functional rare variants by collapsing and incorporating functional annotation in Genetic Analysis Workshop 17 mini-exome data.BMC proceedings · 2011Article
- Association mapping with single-feature polymorphisms.Genetics · 2006Article
- Linkage disequilibrium interval mapping of quantitative trait loci.BMC genomics · 2006Article
- Article
- A survey of current Bayesian gene mapping methods.Human genomics · 2004Review
- Article
- Genetic isolates in East Asia: a study of linkage disequilibrium in the X chromosome.American journal of human genetics · 2002Article
- Homozygosity and linkage disequilibrium.Genetics · 2002Article
- Fine-scale mapping of disease loci via shattered coalescent modeling of genealogies.American journal of human genetics · 2002Article
- Bayesian analysis of haplotypes for linkage disequilibrium mapping.Genome research · 2001Article
- High-resolution multipoint linkage-disequilibrium mapping in the context of a human genome sequence.American journal of human genetics · 2001Article
- Multipoint linkage-disequilibrium-mapping approach based on the case-parent trio design.American journal of human genetics · 2001Article
- A coalescent model of ancestry for a rare allele.Genetics · 2000Article
- Bayesian fine-scale mapping of disease loci, by hidden Markov models.American journal of human genetics · 2000Article
- Assessment of linkage disequilibrium by the decay of haplotype sharing, with application to fine-scale genetic mapping.American journal of human genetics · 1999Article
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2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Genetic linkage studies based on pedigree data have limited resolution, because of the relatively small number of segregations. Disequilibrium mapping, which uses population associations to infer the location of a disease mutation, provides one possible strategy for narrowing the candidate region. The coalescent process provides a model for the ancestry of a sample of disease alleles, and recombination events between disease locus and marker may be placed on this ancestral phylogeny. These events define the recombinant classes, the sets of sampled disease copies descending from the meiosis at which a given recombination occurred. We show how Monte Carlo generation of the recombinant classes leads to a linkage likelihood for fine-scale mapping from disease haplotypes. We compare single-marker disequilibrium mapping with interval-disequilibrium mapping and discuss how the approach may be extended to multipoint-disequilibrium mapping. The method and its properties are illustrated with an example of simulated data, constructed to be typical of fine-scale mapping of a rare disease in the Japanese population. The method can take into account known features of population history, such as changing patterns of population growth.
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