%0 Journal Article
%T Two Approaches of Quantitative-Trait Linkage Analysis<br>两种常用数量性状连锁分析方法的原理和进展Two Approaches of Quantitative-Trait Linkage Analysis
%A SU Shao-Yong
%A GU Dong-Feng
%A <br>宿少勇
%A 顾东风 SU Shao-yong GU Dong-feng
%J 遗传
%D 2004
%I 
%X In this article, we discussed two model-free methods for detecting genetic linkage for quantitative traits, Haseman-Elston regression approach and variance components approach. The former is a regression approach for detecting linkage based on the squared difference or squared sums in quantitative trait values of sib-pairs and their estimated marker IBD scores. The latter can jointly model covariate effects along with variance components, including genetic component and non-genetic sources of variability. We have outlined the model assumption, the algorithm and the extensions for the both methods.
%K complex trait disease
%K nonparametric linkage analysis
%K quantitative trait
%K H-E approach
%K variance components<br>复杂性状疾病
%K 非参数连锁分析
%K 数量性状
%K H-E模型
%K 方差组成模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=3E23F50E071DF18E21B2F5AEE4F1FA5E&aid=25761E6C91A3034F&yid=D0E58B75BFD8E51C&vid=96C778EE049EE47D&iid=0B39A22176CE99FB&sid=82722E2B785EBF0D&eid=80BD0A2EF8664214&journal_id=0253-9772&journal_name=遗传&referenced_num=0&reference_num=27