Genome-wide linkage scan for genes affecting longitudinal trends in systolic blood pressure

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作者
Kevin B Jacobs
Courtney Gray-McGuire
Kevin C Cartier
Robert C Elston
机构
[1] Case Western Reserve University,Department of Epidemiology and Biostatistics, Division of Genetic and Molecular Epidemiology
[2] The OPAL Group,Division of Statistical Genetics and Bioinformatics
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Systolic Blood Pressure; Framingham Heart Study; Sibling Pair; Marker Informativity; Systolic Blood Pressure Measurement;
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摘要
Only one genome scan to date has attempted to make use of the longitudinal data available in the Framingham Heart Study, and this attempt yielded evidence of linkage to a gene for mean systolic blood pressure. We show how the additional information available in these longitudinal data can be utilized to examine linkages for not only mean systolic blood pressure (SBP), but also for its trend with age and its variability. Prior to linkage analysis, individuals treated for hypertension were adjusted to account for right-censoring of SBP. Regressions on age were fitted to obtain orthogonal measures of slope, curvature, and residual variance of SBP that were then used as dependent variables in the model-free linkage program SIBPAL. We included mean age, gender, and cohort as covariates in the analysis. To improve power, sibling pairs were weighted for informativity using weights derived from both the marker and trait. The most significant results from our analyses were found on chromosomes 12, 15, and 17 for mean SBP, and chromosome 20 for both SBP slope and curvature.
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