Evidence map›Paper›PMID 7825575›Full record

ArticleAmerican journal of human genetics1995

Likelihood methods for locating disease genes in nonequilibrium populations.

N L Kaplan, W G Hill, B S Weir

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Article in American journal of human genetics, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

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53citing papers in PubMed
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3 · Its place in the literature

Who cites it

53 citing papers in PubMed.

  1. A novel intronic mutation ofMolecular vision · 2019
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  5. A fast expectation-maximum algorithm for fine-scale QTL mapping.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

N L KaplanStatistics and Biomathematics Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina.
W G Hill
B S Weir

Funding

NIGMS NIH HHS GM45344
6 · The paper itself

Abstract

Until recently, attempts to map disease genes on the basis of population associations with linked markers have been based on expected values of linkage disequilibrium. These methods suffer from the large variances imposed on disequilibrium measures by the evolutionary process, but a more serious problem for many diseases is that they assume an equilibrium population. For diseases that arose only a few hundred generations ago, it is more appropriate to concentrate on the initial growth phase of the disease. We invoke a Poisson branching process for this early growth, and estimate the likelihood for the recombination fraction between marker and disease loci, on the basis of simulated disease populations. The limits of the resulting support intervals for the recombination fraction vary inversely with the age of the disease in generations. We illustrate the procedure with data on cystic fibrosis and diastrophic dysplasia, for which the method appears appropriate, and for Friedreich ataxia and Huntington disease, for which it does not. A valuable aspect of the method is the ability in some cases to compare likelihoods of the three orders for a disease locus and two linked marker loci.

Indexed as

GenesGenetic LinkageGenetics, PopulationLikelihood FunctionsChromosome MappingCystic FibrosisFinlandFriedreich AtaxiaGene FrequencyGenetic Diseases, InbornHumansHuntington DiseaseModels, GeneticOsteochondrodysplasiasPoisson DistributionRecombination, Genetic

Identifiers

PMID7825575
PMCPMC1801340

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