This article is part of the supplement: Genetic Analysis Workshop 13: Analysis of Longitudinal Family Data for Complex Diseases and Related Risk Factors .

Proceedings

Strategy and model building in the fourth dimension: a null model for genotype × age interaction as a Gaussian stationary stochastic process

Vincent P Diego^1,2 , Laura Almasy¹ , Thomas D Dyer¹ , Júlia MP Soler³ and John Blangero¹

¹Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, Texas, USA

²Department of Anthropology, Binghamton University, State University of New York, Binghamton, New York, USA

³Department of Statistics, University of Sao Paulo, Sao Paulo SP, Brazil

author email corresponding author email

BMC Genetics 2003, 4(Suppl 1):S34doi:10.1186/1471-2156-4-S1-S34

Published:	31 December 2003

Abstract

Background

Using univariate and multivariate variance components linkage analysis methods, we studied possible genotype × age interaction in cardiovascular phenotypes related to the aging process from the Framingham Heart Study.

Results

We found evidence for genotype × age interaction for fasting glucose and systolic blood pressure.

Conclusions

There is polygenic genotype × age interaction for fasting glucose and systolic blood pressure and quantitative trait locus × age interaction for a linkage signal for systolic blood pressure phenotypes located on chromosome 17 at 67 cM.