title: Sample size calculations for classical association and TDT-type methods using family data.
abstract: Transmission Disequilibrium Test (TDT)-based methods have been advocated by several authors for testing that a marker-phenotype association is actually due to linkage and not to uncontrolled stratification. As a pre-requisite of TDT-type methods is the presence of an association between marker and phenotype, one may wish to first investigate the association using a classical association study, and then to check by a TDT approach whether this association is actually due to linkage. We propose an estimating equation (EE) procedure, to compute analytically the minimum sample size of sibship data required to detect the association between a marker and a quantitative phenotype, and that required to confirm it by two TDT methods. We show that, when the marker allele frequency is low or high, the number of informative sibs needed in TDT-type methods can be lower than the number required in an association analysis, and even more so when the familial clustering is strong. However, in all cases, the number of sibs that need to be sampled to get the appropriate number of informative sibs for analysis is always larger for TDT methods than for an association study. In a phenotype-first strategy, this number may be critical when investigating costly phenotypes.
authors: INSERM Unite 525, Paris, France. tregouet@idf.inserm.fr
authors: D A
authors: DA
authors: Tregouet
authors: C
authors: C
authors: Pallaud
authors: C
authors: C
authors: Sass
authors: S
authors: S
authors: Visvikis
authors: L
authors: L
authors: Tiret
mesh_terms: D000483:Alleles; D005192:Family Health; D005799:Genes, Dominant; D008040:Genetic Linkage; D005819:Genetic Markers; D006801:Humans; D015810:Linkage Disequilibrium; D008071:Lipoprotein Lipase / Q000235:genetics; D008957:Models, Genetic; D015233:Models, Statistical; D010641:Phenotype; D011110:Polymorphism, Genetic; D019655:Quantitative Trait, Heritable; D014280:Triglycerides / Q000097:blood / Q000235:genetics
chemical_list: D005819:Genetic Markers; D014280:Triglycerides; D008071:Lipoprotein Lipase