## Abstract An improved sibβpair test for linkage is introduced which is superior to the previously proposed tests. The test is derived from the standard chiβsquared goodness of fit statistic by restricting the alternative hypothesis to the genetically possible. Critical values are given and exact
Affected sib-pair tests for linkage: Type I errors with dependent sib-pairs
β Scribed by Flavie Meunier; Anne Philippi; Maria Martinez; Florence Demenais
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 31 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
β¦ Synopsis
We compared the robustness of affected-sib-pair (ASP) tests for multiple-affected sibships. Forming all possible pairs increases the type I errors only slightly whereas the most used weighting procedures decrease the efficiency of the tests. Another weighting procedure accounting for the reduction of variance of the weighted identical by descent (IBD) information appears robust. Missing parental marker data leads to a decrease of type I errors in all cases.
π SIMILAR VOLUMES
For each marker locus and for every pair of sibs with data available in the 1983 workshop data, the proportion of genes identical by descent was estimated. The mean proportions were compared between concordant and discordant sib pairs, and the mean proportion for concordantly affected pairs was comp
Nick examines the problem of testing for linkage between a disease susceptibility locus and a marker locus for sib-pair data. Given a specified simple alternative for the parameters (pO, p I , p 2 ) of the multinomial distribution of (NO, N , , N2), where Nj denotes the number of sibs sharing exactl
## Abstract We address the analytical problem of evaluating the evidence for linkage at a test locus while taking into account the effect of a known linked disease locus. The method we propose is a multimarker regression approach that models the identityβbyβdescent states for affected sibβpairs at
## Abstract The aim of this study was to compare, under different models of geneβenvironment (G Γ E) interaction, the power to detect linkage and G Γ E interaction of different tests using affected sibβpairs. Methods considered were: 1) the maximum likelihood lodβscore (MLS), based on the distribut