title: Detecting genotype x age interaction.
abstract: This paper explores several extensions to the variance component method, which incorporate genotype x age interaction effects. We evaluate the performance of these methods for detecting genotype x age interaction in quantitative genetic analyses of a quantitative trait (Q4), contrasting this with false positive detection rates obtained from a phenotype influenced by the same genes but without genotype x age interaction effects (Q3). We then assess the impact on linkage power and false positive rate of allowing a QTL-specific genotype x age interaction in linkage analysis of these same traits.
authors.affiliation: Department of Genetics, Southwest Foundation for Biomedical Research, 7620 NW Loop 410, P.O. Box 760549, San Antonio, TX 78245-0549, USA.
authors.forename: L
authors.initials: L
authors.lastname: Almasy
authors.forename: B
authors.initials: B
authors.lastname: Towne
authors.forename: C
authors.initials: C
authors.lastname: Peterson
authors.forename: J
authors.initials: J
authors.lastname: Blangero
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000483:Alleles; D000704:Analysis of Variance; D002874:Chromosome Mapping / Q000706:statistics & numerical data; D002886:Chromosomes, Human, Pair 17; D002899:Chromosomes, Human, Pair 9; D005260:Female; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D005838:Genotype; D006801:Humans; D008126:Lod Score; D008297:Male; D008875:Middle Aged; D008957:Models, Genetic; D019655:Quantitative Trait, Heritable