Dissecting anxiety-related QTLs in mice by univariate and multivariate mapping  

作　　者：ZHU ZhiHong ZHANG ChenHao WANG XuSheng COOK Melloni N WILLIAMS Robert LU Lu ZHU Jun 

机构地区：[1]ZJU-IBM Biocomputation Laboratory,College of Agriculture and Biotechnology,Zhejiang University,Hangzhou 310058,China [2]Jiangsu Key Laboratory of Neuroregeneration,Nantong University,Nantong 226001,China [3]Department of Anatomy and Neurobiology,University of Tennessee Healthy Science Center,Memphis,TN 38163,USA [4]Department of Psychology,University of Memphis,Memphis,TN 38152,USA

出　　处：《Chinese Science Bulletin》2012年第21期2727-2732,共6页

基　　金：supported by National Basic Research Program of China(2011CB109306);National Key Technologies R&D Program in China(2009ZX08009-004B);CNTC(110200701023);YNTC(08A05)

摘　　要：To detect genes underlying anxiety-related traits in mice,we performed univariate and multivariate QTL mapping analyses of phenotypes obtained from 71 mice of the BXD recombinant inbred (RI) strains (n=528 mice) and their parental strains (C57BL/6J and DBA/2J).Separate and joint mapping analyses were carried out using a linkage map composed of 506 simple sequence repeats (SSRs).The main QTL effects,interactions between pairs of QTLs (epistasis),and their environmental interactions were estimated.The results showed that anxiety-related traits were influenced by multiple QTLs (five main effect QTLs and three epistatic QTLs).Ten potential anxiety-related candidate genes within the QTL intervals on chromosomes 5,13 and 15 were identified.Some of these genes have been reported previously to be associated with the anxiety response.Based on our results,it is suggested that the multivariate QTL mapping approach improves the statistical power for detecting QTL and the precision of parameter estimation.Moreover,multivariate mapping can also detect pleiotropic QTL effects.To detect genes underlying anxiety-related traits in mice,we performed univariate and multivariate QTL mapping analyses of phenotypes obtained from 71 mice of the BXD recombinant inbred （RI） strains （n=528 mice） and their parental strains （C57BL/6J and DBA/2J）.Separate and joint mapping analyses were carried out using a linkage map composed of 506 simple sequence repeats （SSRs）.The main QTL effects,interactions between pairs of QTLs （epistasis）,and their environmental interactions were estimated.The results showed that anxiety-related traits were influenced by multiple QTLs （five main effect QTLs and three epistatic QTLs）.Ten potential anxiety-related candidate genes within the QTL intervals on chromosomes 5,13 and 15 were identified.Some of these genes have been reported previously to be associated with the anxiety response.Based on our results,it is suggested that the multivariate QTL mapping approach improves the statistical power for detecting QTL and the precision of parameter estimation.Moreover,multivariate mapping can also detect pleiotropic QTL effects.

关 键 词：QTL定位 映射分析 焦虑 小鼠 多变量 单变量 QTL效应 解剖 

分 类 号：R749.72[医药卫生—神经病学与精神病学]