title: A general conditional-logistic model for affected-relative-pair linkage studies.
abstract: Model-free LOD-score methods are often employed to detect linkage between marker loci and common diseases, with samples of affected sib pairs. Although extensions of the basic one-disease-locus model have been proposed that allow separate inclusion of other types of affected relative pairs, discordant relative pairs, covariates, or additional disease loci, a unified framework that can handle all of these features has been lacking. In this report, I propose a conditional-logistic parameterization that generalizes easily to include all of these features. Two data examples, one using simulated data and one using type 1 diabetes, illustrate applications of the models.
authors.affiliation: Department of Epidemiology and Biostatistics, Rammelkamp Center for Education and Research, MetroHealth Campus, Case Western Reserve University, Cleveland, OH 44109, USA. olson@darwin.cwru.edu.
authors.forename: J M
authors.initials: JM
authors.lastname: Olson
mesh_terms: D000483:Alleles; D003198:Computer Simulation; D003922:Diabetes Mellitus, Type 1 / Q000235:genetics; D005006:Ethnicity / Q000235:genetics; D005787:Gene Frequency; D008040:Genetic Linkage / Q000235:genetics*; D020022:Genetic Predisposition to Disease / Q000235:genetics; D006801:Humans; D008126:Lod Score; D016015:Logistic Models; D008957:Models, Genetic; D018401:Sample Size