Slager Susan L, Iturria Stephen J
Division of Biostatistics, Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, Minnesota 55905, USA.
BMC Genet. 2003 Dec 31;4 Suppl 1(Suppl 1):S13. doi: 10.1186/1471-2156-4-S1-S13.
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.
遗传分析研讨会13(GAW13)的问题1包含来自330个家系的心血管测量纵向数据。纵向数据使表型定义变得复杂,因为对每个个体都进行了多次测量。为了解决这一复杂性,我们提出了一种方法,该方法使用广义估计方程来获取每个人在每个时间点的残差。然后将平均残差作为新的表型,用于方差成分连锁分析。我们将我们的表型定义方法与一种先将多次测量简化为单次测量,然后将这些汇总统计量作为方差成分分析中的回归项进行建模的方法进行比较。对于每种方法,使用残差和SOLAR计算机程序进行多点连锁分析。我们的结果表明,基于对数优势(LOD)分数的方法之间差异不大。