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Extension of variance components approach to incorporate temporal trends and longitudinal pedigree data analysis
Author(s) -
de Andrade Mariza,
Guéguen René,
Visvikis Sophie,
Sass Catherine,
Siest Gérard,
Amos Christopher I.
Publication year - 2002
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.01118
Subject(s) - pedigree chart , heritability , longitudinal data , variance components , biology , longitudinal study , statistics , measure (data warehouse) , genetic epidemiology , genetics , mathematics , computer science , data mining , gene
Here we present a method that permits one to evaluate genetic effects and to detect genetic linkages by using serial observations of quantitative traits in pedigrees. We developed a statistical method that incorporates longitudinal family data and genetic marker information into an estimating equations framework. With this approach, we can study changes in components over time that measure polygenic and major genetic variances as well as shared and individual‐specific environmental effects. Our method provides a measure of heritability from analysis of longitudinal data. Results using longitudinal family data from the Center for Preventive Medicine (Nancy, France) are presented. The results of our analysis show that the apolipoprotein E locus has no effect on interindividual variability in systolic blood pressure. We found that the longitudinal measure of heritability of systolic blood pressure is 0.32. Genet. Epidemiol. 22:221–232, 2002. © 2002 Wiley‐Liss, Inc.