title: Associating multiple longitudinal traits with high-dimensional single-nucleotide polymorphism data: application to the Framingham Heart Study.
abstract: Cardiovascular diseases are associated with combinations of phenotypic traits, which are in turn caused by a combination of environmental and genetic factors. Because of the diversity of pathways that may lead to cardiovascular diseases, we examined the so-called intermediate phenotypes, which are often repeatedly measured. We developed a penalized nonlinear canonical correlation analysis to associate multiple repeatedly measured traits with high-dimensional single-nucleotide polymorphism data.
authors.affiliation: Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, Amsterdam, PO Box 22700, 1100 DE, The Netherlands. s.waaijenborg@amc.uva.nl.
authors.forename: Sandra
authors.initials: S
authors.lastname: Waaijenborg
authors.forename: Aeilko H
authors.initials: AH
authors.lastname: Zwinderman