Curve-based multivariate distance matrix regression analysis: application to genetic association analyses involving repeated measures.

ABSTRACT: Most, if not all, human phenotypes exhibit a temporal, dosage-dependent, or age effect. Despite this fact, it is rare that data are collected over time or in sequence in relevant studies of the determinants of these phenotypes. The costs and organizational sophistication necessary to collect repeated measurements or longitudinal data for a given phenotype are clearly impediments to this, but greater efforts in this area are needed if insights into human phenotypic expression are to be obtained. Appropriate data analysis methods for genetic association studies involving repeated or longitudinal measures are also needed. We consider the use of longitudinal profiles obtained from fitted functions on repeated data collections from a set of individuals whose similarities are contrasted between

SUBMITTER: Salem RM 

PROVIDER: S-EPMC3032281 | biostudies-literature | 2010 Jul

REPOSITORIES: biostudies-literature