Ontology highlight
ABSTRACT:
SUBMITTER: Shi G
PROVIDER: S-EPMC2795992 | biostudies-literature | 2009 Dec
REPOSITORIES: biostudies-literature
Shi Gang G Rice Treva K TK Gu Chi Charles CC Rao Debeeru C DC
BMC proceedings 20091215
Longitudinal studies that collect repeated measurements on the same subjects over time have long been considered as being more powerful and providing much better information on individual changes than cross-sectional data. We propose a three-level linear mixed-effects model for testing genetic main effects and gene-age interactions with longitudinal family data. The simulated Genetic Analysis Workshop 16 Problem 3 data sets were used to evaluate the method. Genome-wide association analyses were ...[more]