Literature DB >> 7668272

The transmission/disequilibrium test: history, subdivision, and admixture.

W J Ewens1, R S Spielman.   

Abstract

Disease association with a genetic marker is often taken as a preliminary indication of linkage with disease susceptibility. However, population subdivision and admixture may lead to disease association even in the absence of linkage. In a previous paper, we described a test for linkage (and linkage disequilibrium) between a genetic marker and disease susceptibility; linkage is detected by this test only if association is also present. This transmission/disequilibrium test (TDT) is carried out with data on transmission of marker alleles from parents heterozygous for the marker to affected offspring. The TDT is a valid test for linkage and association, even when the association is caused by population subdivision and admixture. In the previous paper, we did not explicitly consider the effect of recent history on population structure. Here we extend the previous results by examining in detail the effects of subdivision and admixture, viewed as processes in population history. We describe two models for these processes. For both models, we analyze the properties of (a) the TDT as a test for linkage (and association) between marker and disease and (b) the conventional contingency statistic used with family data to test for population association. We show that the contingency test statistic does not have a chi 2 distribution if subdivision or admixture is present. In contrast, the TDT remains a valid chi 2 statistic for the linkage hypothesis, regardless of population history.

Mesh:

Year:  1995        PMID: 7668272      PMCID: PMC1801556     

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  15 in total

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7.  A polymorphic locus near the human insulin gene is associated with insulin-dependent diabetes mellitus.

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8.  Haplotype relative risks: an easy reliable way to construct a proper control sample for risk calculations.

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Journal:  Am J Hum Genet       Date:  1988-01       Impact factor: 11.025

Review 10.  Genetic analysis of IDDM: summary of GAW5 IDDM results.

Authors:  R S Spielman; M P Baur; F Clerget-Darpoux
Journal:  Genet Epidemiol       Date:  1989       Impact factor: 2.135

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  150 in total

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Journal:  Am J Hum Genet       Date:  2000-06-16       Impact factor: 11.025

8.  Inference of population structure using multilocus genotype data.

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Authors:  S A Bacanu; B Devlin; K Roeder
Journal:  Am J Hum Genet       Date:  2000-05-08       Impact factor: 11.025

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Journal:  Am J Hum Genet       Date:  2000-06-06       Impact factor: 11.025

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