Statistical Applications in Genetics and Molecular Biology
Editor-in-Chief: Stumpf, Michael P.H.
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Treatment of Uninformative Families in Mean Allele Sharing Tests for Linkage
1Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
2Departments of Human Genetics and Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
3Department of Epidemiology and Biostatistics, Case Western Reserve School of Medicine, Cleveland, OH
4Department of Epidemiology and Biostatistics, Case Western Reserve School of Medicine, Cleveland, OH
5Departments of Human Genetics and Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
Citation Information: Statistical Applications in Genetics and Molecular Biology. Volume 5, Issue 1, Pages –, ISSN (Online) 1544-6115, DOI: 10.2202/1544-6115.1206, May 2006
- Published Online:
Using affected sibling pairs, the mean allele sharing statistic tests for linkage by testing if the mean proportion of alleles that are identical-by-descent (IBD) is equal to a half. The behavior of some versions of the mean allele sharing test statistic depends on whether or not families that are uninformative for their IBD status are included; the SIBPAL version provides less significant values when all families (informative and uninformative) are used than when only informative families are used. Here, we investigate this behavior both analytically and by simulation. Our investigation shows that the main issue is the choice of the variance estimator in the denominator of the statistic. The choice of the denominator is very important and is still not totally resolved. Our mathematical explanation supported by our simulation study might aid in the search for an optimum solution.