title: Power of affected sibling method tests for linkage.
abstract: When the mode of inheritance of a disease susceptibility (DS) gene is unknown, the affected sibling method can be applied to study whether a DS gene and a marker gene are linked. This method considers how k affected siblings (k > or = 2) share marker alleles identically by descent from their parents. Several nonparametric and likelihood ratio test statistics have been proposed for the use with affected sibling marker gene data. We compare the power of these proposed tests for linkage under different genetic models via simulation. We find that, in general, the likelihood ratio tests are slightly more powerful, but the gain in power may not warrant the additional computation burden imposed.
authors.affiliation: Division of Biostatistics, Yale School of Medicine, New Haven, Conn. 06510.
authors.forename: C
authors.initials: C
authors.lastname: Tierney
authors.forename: B
authors.initials: B
authors.lastname: McKnight
mesh_terms: D000483:Alleles; D003198:Computer Simulation; D004198:Disease Susceptibility; D030342:Genetic Diseases, Inborn / Q000235:genetics*; D008040:Genetic Linkage; D005819:Genetic Markers; D006801:Humans; D016013:Likelihood Functions; D008957:Models, Genetic
chemical_list: D005819:Genetic Markers