title: [Two approaches of quantitative-trait linkage analysis].
abstract: ln 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.
authors.affiliation: Division of Population Genetics and Prevention, Cardiovascular Institute & Fu Wai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100 037, China. sushaoy@yahoo.com.cn
authors.forename: Shao-Yong
authors.initials: SY
authors.lastname: Su
authors.forename: Dong-Feng
authors.initials: DF
authors.lastname: Gu
mesh_terms: D003198:Computer Simulation; D008040:Genetic Linkage; D006801:Humans; D008957:Models, Genetic; D019655:Quantitative Trait, Heritable