Abstract
We compare two methods to detect genetic linkage by using serial observations of systolic blood pressure in pedigree data from the Framingham Heart Study focusing on chromosome 17. The first method is a variance components (VC) approach that incorporates longitudinal pedigree data, and the second method is a regression-based approach that summarizes all longitudinal measures in one single measure. No evidence of linkage was found either using the VC longitudinal approach or the regression-based approach, except when all time points were used from Cohorts 1 and 2 and only subjects aged 25 and 75 years were included.
Highlights
Modeling becomes more complex when observations are recorded over time
The longitudinal variance components (VC) approach does not summarize the longitudinal measures and uses them all, i.e., each individual has a vector of measures that represents his/her measure of blood pressure levels at each time point
The purpose of this paper is to compare these two approaches, the longitudinal VC approach proposed by de Andrade et al [8] and the residuals approach proposed by Levy et al [9], using the Framingham Heart Study data set
Summary
Modeling becomes more complex when observations are recorded over time. Several authors have developed and reviewed statistical methods for longitudinal cohort studies [1]. De Andrade et al [8] proposed an extension of the VC approach to incorporate longitudinal family data. Another approach to analyze longitudinal family data is to use regression methods ignoring the family structure, and use the residuals as the quantitative traits. The regression-based approach summarizes all longitudinal measures in one single measure and uses this summarized measure that is the regression residuals, for linkage detection, i.e., each individual has one single value that represents his/her longitudinal measures of blood pressure. The longitudinal VC approach does not summarize the longitudinal measures and uses them all, i.e., each individual has a vector of measures that represents his/her measure of blood pressure levels at each time point. The purpose of this paper is to compare these two approaches, the longitudinal VC approach proposed by de Andrade et al [8] and the residuals approach proposed by Levy et al [9], using the Framingham Heart Study data set
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