Evidence map›Paper›PMID 10445904›Full record

ArticleAmerican journal of human genetics1999

Assessment of linkage disequilibrium by the decay of haplotype sharing, with application to fine-scale genetic mapping.

M S McPeek, A Strahs

Abstract read
In one paragraph

Article in American journal of human genetics, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

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0cells of the map it votes in
80citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

80 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Tree-based QTL mapping with expected local genetic relatedness matrices.bioRxiv : the preprint server for biology · 2023
    Article
  5. Review
  6. TheCancers · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. A fast expectation-maximum algorithm for fine-scale QTL mapping.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

20 more citing papers are in PubMed but not listed here.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

M S McPeekDepartment of Statistics, University of Chicago, Chicago, IL 60637, USA. mcpeek@galton.uchicago.edu
A Strahs

Funding

METHODS FOR HUMAN GENETIC LINKAGE MAPPINGR29HG001645 · NHGRI · UNIVERSITY OF CHICAGO · PI MCPEEK, MARY SARA · 1997 to 2001
$126k
NHGRI NIH HHS R29 HG001645
6 · The paper itself

Abstract

Linkage disequilibrium (LD) is of great interest for gene mapping and the study of population history. We propose a multilocus model for LD, based on the decay of haplotype sharing (DHS). The DHS model is most appropriate when the LD in which one is interested is due to the introduction of a variant on an ancestral haplotype, with recombinations in succeeding generations resulting in preservation of only a small region of the ancestral haplotype around the variant. This is generally the scenario of interest for gene mapping by LD. The DHS parameter is a measure of LD that can be interpreted as the expected genetic distance to which the ancestral haplotype is preserved, or, equivalently, 1/(time in generations to the ancestral haplotype). The method allows for multiple origins of alleles and for mutations, and it takes into account missing observations and ambiguities in haplotype determination, via a hidden Markov model. Whereas most commonly used measures of LD apply to pairs of loci, the DHS measure is designed for application to the densely mapped haplotype data that are increasingly available. The DHS method explicitly models the dependence among multiple tightly linked loci on a chromosome. When the assumptions about population structure are sufficiently tractable, the estimate of LD is obtained by maximum likelihood. For more-complicated models of population history, we find means and covariances based on the model and solve a quasi-score estimating equation. Simulations show that this approach works extremely well both for estimation of LD and for fine mapping. We apply the DHS method to published data sets for cystic fibrosis and progressive myoclonus epilepsy.

Indexed as

Models, GeneticAlgorithmsAllelesChromosome MappingComputer SimulationCystic FibrosisEpilepsies, MyoclonicGene FrequencyGenetic VariationHaplotypesHumansLikelihood FunctionsLinkage DisequilibriumMarkov ChainsMutationRecombination, Genetic

Identifiers

PMID10445904
PMCPMC1378001

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.