Genome-wide linkage analysis of systolic blood pressure: a comparison of two approaches to phenotype definition.

Susan L Slager, Stephen J. Iturria

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Problem 1 of the Genetic Analysis Workshop 13(GAW13) contains longitudinal data of cardiovascular measurements from 330 pedigrees. The longitudinal data complicates the phenotype definition because multiple measurements are taken on each individual. To address this complication, we propose an approach that uses generalized estimating equations to obtain residuals for each time point for each person. The mean residual is then taken as the new phenotype with which to use in a variance components linkage analysis. We compare our phenotype definition approach to an approach that first reduces the multiple measurements to a single measurement and then models these summary statistics as regression terms in a variance components analysis. For each approach, multipoint linkage analysis was performed using the residuals and the SOLAR computer program. Our results show little difference between the methods based on the LOD scores.

Original languageEnglish (US)
Article numberS13
JournalBMC Genetics
Volume4 Suppl 1
StatePublished - 2003

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Genome
Blood Pressure
Phenotype
Pedigree
Analysis of Variance
Software
Education

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

Cite this

Genome-wide linkage analysis of systolic blood pressure : a comparison of two approaches to phenotype definition. / Slager, Susan L; Iturria, Stephen J.

In: BMC Genetics, Vol. 4 Suppl 1, S13, 2003.

Research output: Contribution to journalArticle

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