Hinrichs Anthony L, Culverhouse Robert C, Suarez Brian K
Department of Psychiatry, Washington University School of Medicine, 660 South Euclid Ave,, Campus Box 8134, St, Louis, MO 63110, USA.
BMC Proc. 2011 Nov 29;5 Suppl 9(Suppl 9):S81. doi: 10.1186/1753-6561-5-S9-S81.
We report two approaches for linkage analysis of data consisting of replicate phenotypes. The first approach is specifically designed for the unusual (in human data) replicate structure of the Genetic Analysis Workshop 17 pedigree data. The second approach consists of a standard linkage analysis that, although not specifically tailored to data consisting of replicate genotypes, was envisioned as providing a sounding board against which our novel approach could be assessed. Both approaches are applied to the analysis of three quantitative phenotypes (Q1, Q2, and Q4) in two sets of African families. All analyses were carried out blind to the generating model (i.e., the "answers"). Using both methods, we found numerous significant linkage signals for Q1, although population colocalization was absent for most of these signals. The linkage analysis of Q2 and Q4 failed to reveal any strong linkage signals.
我们报告了两种对由重复表型组成的数据进行连锁分析的方法。第一种方法是专门为遗传分析研讨会17家系数据中不寻常的(在人类数据中)重复结构而设计的。第二种方法包括标准连锁分析,虽然不是专门针对由重复基因型组成的数据,但旨在提供一个可以用来评估我们新方法的参照标准。两种方法都应用于两组非洲家庭中三个定量表型(Q1、Q2和Q4)的分析。所有分析都是在对生成模型(即“答案”)不知情的情况下进行的。使用这两种方法,我们发现了许多与Q1显著相关的连锁信号,尽管这些信号中的大多数在群体中没有共定位。对Q2和Q4的连锁分析未能揭示任何强连锁信号。