title: Model-free age-of-onset methods applied to the linkage of bipolar disorder.
abstract: We performed Haseman-Elston regression on a set of bipolar pedigrees using each of three dependent variables: a binary trait indicating disease concordance or discordance, a binary trait adjusted for age-of-onset, and the residuals from a survival analysis. The latter two methods, which both adjust for age-of-onset, gave smaller p-values when previous analyses suggested linkage between disease and marker, but not when previous analyses were not suggestive of linkage.
authors.affiliation: Department of Epidemiology and Biostatistics, Rammelkamp Center for Education and Research, Case Western Reserve University, Cleveland, Ohio 44109, USA.
authors.forename: X
authors.initials: X
authors.lastname: Zhu
authors.forename: J M
authors.initials: JM
authors.lastname: Olson
authors.forename: A H
authors.initials: AH
authors.lastname: Schnell
authors.forename: R C
authors.initials: RC
authors.lastname: Elston
mesh_terms: D017668:Age of Onset; D001714:Bipolar Disorder / Q000235:genetics* / Q000401:mortality; D008040:Genetic Linkage; D005819:Genetic Markers; D006801:Humans; D016555:Matched-Pair Analysis; D008957:Models, Genetic; D010375:Pedigree; D019655:Quantitative Trait, Heritable; D012044:Regression Analysis; D015996:Survival Rate
chemical_list: D005819:Genetic Markers