title: Modeling and dissection of longitudinal blood pressure and hypertension phenotypes in genetic epidemiological studies.
abstract: We discuss analyses of the Genetic Analysis Workshop 13 data from the Framingham Heart Study and simulations based on this study. We summarize analyses that investigated measures of systolic blood pressure or hypertension as the main phenotype, with the main focus being the modeling of this complex longitudinal phenotype. The approaches include familial aggregation methods and one-stage and two-stage linkage methods. For one-stage linkage methods, phenotype modeling is carried out jointly with the linkage analysis or incorporated in the analysis design. For two-stage linkage methods, phenotypes are first modeled in order to develop summary measures that are then analyzed in a subsequent linkage analysis. Results depend on phenotype selection and on how analyses account for longitudinality, treatment effects, and heterodasticity.
authors.affiliation: Department of Genetic Epidemiology, Georg-August University Göttingen, Goettingen, Germany. hbickeb@gwdg.de
authors.forename: H
authors.initials: H
authors.lastname: Bickeböller
authors.forename: J H
authors.initials: JH
authors.lastname: Barrett
authors.forename: K B
authors.initials: KB
authors.lastname: Jacobs
authors.forename: A
authors.initials: A
authors.lastname: Rosenberger
mesh_terms: D001794:Blood Pressure / Q000235:genetics*; D002318:Cardiovascular Diseases / Q000453:epidemiology* / Q000235:genetics*; D008040:Genetic Linkage; D020022:Genetic Predisposition to Disease; D006801:Humans; D006973:Hypertension / Q000453:epidemiology / Q000235:genetics*; D008137:Longitudinal Studies; D008957:Models, Genetic; D015233:Models, Statistical; D010641:Phenotype; D013599:Systole