Strategy and model building in the fourth dimension: a null model for genotype × age interaction as a Gaussian stationary stochastic process
Open Access
- 31 December 2003
- journal article
- Published by Springer Nature in BMC Genomic Data
- Vol. 4 (S1) , S34
- https://doi.org/10.1186/1471-2156-4-s1-s34
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.Keywords
This publication has 14 references indexed in Scilit:
- Longitudinal familial analysis of blood pressure involving parametric (co)variance functionsBMC Genomic Data, 2003
- Description of the Framingham Heart Study data for Genetic Analysis Workshop 13BMC Genomic Data, 2003
- Detecting Genotype × Age InteractionGenetic Epidemiology, 2001
- Evidence for a Gene Influencing Blood Pressure on Chromosome 17Hypertension, 2000
- Multipoint Quantitative-Trait Linkage Analysis in General PedigreesAmerican Journal of Human Genetics, 1998
- Bivariate quantitative trait linkage analysis: Pleiotropy versus co-incident linkagesGenetic Epidemiology, 1997
- Statistical genetic approaches to human adaptability.1993
- Multivariate segregation analysis using the mixed modelGenetic Epidemiology, 1991
- Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests under Nonstandard ConditionsJournal of the American Statistical Association, 1987
- Cohabitation, convergence, and environmental covariancesAmerican Journal of Medical Genetics, 1986