Associating multiple longitudinal traits with high-dimensional single-nucleotide polymorphism data: application to the Framingham Heart Study

Sandra Waaijenborg, Aeilko H. Zwinderman

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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
Original languageEnglish
Pages (from-to)S47
JournalBMC Proceedings
Volume3
Issue numberSuppl. 7
Publication statusPublished - 2009

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