在遗传分析研讨会13模拟数据中，使用多种基于哈斯曼-埃尔斯顿的回归方法对一种衍生的葡萄糖表型进行连锁分析。
Linkage analysis of a derived glucose phenotype in the Genetic Analysis Workshop 13 simulated data using a variety of Haseman-Elston based regression methods.
作者信息
Cordell Heather J, Howson Joanna M M, Clayton David G
机构信息
University of Cambridge, Department of Medical Genetics, JDRF/WT Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research, Wellcome Trust/MRC Building, Addenbrookes Hospital, United Kingdom.
出版信息
BMC Genet. 2003 Dec 31;4 Suppl 1(Suppl 1):S6. doi: 10.1186/1471-2156-4-S1-S6.
A variety of Haseman-Elston type regression procedures were used to perform a genome scan across five chromosomes, using replicates 1-5 of the Genetic Analysis Workshop 13 simulated data. The traits of interest were variables corresponding to 'baseline' and 'slope' effects derived from the fasting glucose phenotypes. Performance in terms of detecting the locations of known trait loci was poor for all methods, even when all five replicates were combined to produce a large data set (9230 sib pairs). All methods performed well, however, when applied to new simulated data in which the true genetic effects were allowed to explain a greater proportion of the overall variance.
使用多种哈斯曼-埃尔斯顿（Haseman-Elston）类型的回归程序，对遗传分析研讨会13模拟数据的第1至5重复样本进行了全基因组扫描，扫描跨越五条染色体。感兴趣的性状是源自空腹血糖表型的与“基线”和“斜率”效应相对应的变量。即使将所有五个重复样本合并以生成一个大数据集（9230个同胞对），所有方法在检测已知性状位点位置方面的表现都很差。然而，当应用于新的模拟数据时，所有方法的表现都很好，在这些新模拟数据中，真实的遗传效应被允许解释更大比例的总体方差。
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