Examining the relative influence of familial, genetic, and environmental covariate information in flexible risk models.
Ontology highlight
ABSTRACT: We present a method for examining the relative influence of familial, genetic, and environmental covariate information in flexible nonparametric risk models. Our goal is investigating the relative importance of these three sources of information as they are associated with a particular outcome. To that end, we developed a method for incorporating arbitrary pedigree information in a smoothing spline ANOVA (SS-ANOVA) model. By expressing pedigree data as a positive semidefinite kernel matrix, the SS-ANOVA model is able to estimate a log-odds ratio as a multicomponent function of several variables: one or more functional components representing information from environmental covariates and/or genetic marker data and another representing pedigree relationships. We report a case study on models
SUBMITTER: Bravo HC
PROVIDER: S-EPMC2677979 | biostudies-literature | 2009 May
REPOSITORIES: biostudies-literature
ACCESS DATA