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| 1 | 数量性状位点定位和全基因组关联分析的方法与软件综述(英文)显示文摘基因组学研究的主要目标是剖析复杂性状和疾病的遗传结构.数量性状位点(quantitative trait locus,QTL)定位和全基因组关联分析(genome-wide association study,GWAS)已经应用于遗传育种和药物研制,分析复杂性状和复杂疾病的遗传结构.本文回顾了分析复杂性状和复杂疾病的QTL定位和GWAS的作图方法和软件.PLINK,TASSEL,SNPassoc,GenABEL和ProbABEL是流行的软件,为GWAS提供了许多有用的功能.PLINK是目前最流行的开源全基因组关联分析的工具集,它聚合了用于分析SNP数据的许多功能.TASSEL是另一种流行的软件,整合了Q+K关联分析的诸多方法.SNPassoc、GenABEL和ProbABEL是应用于关联分析的开源代码R软件包.本文对上述提及的GWAS关联分析流行软件作了简要介绍,并介绍了新研制的QTXNetwork分析软件,它可分析QTL和GWAS定位数量性状SNP(QTS)、数量性状转录子(QTT)、数量性状蛋白子(QTP)和数量性状代谢子(QTM).本文还介绍了一些常用的分析软件,例如Windows QTL Cartographer,QTL Express,Map Manager QTX,R/qtl和QTLNetwork. | 马蒙 朱军 | 2014 | 浙江大学学报(农业与生命科学版)2014，40，4： | 2 |
| 2 | Modern quantitative genetics:Dissecting complex polygenic systems into individual genetic factors显示文摘Modern quantitative genetics began in the late 1980s with the advent and application of molecular marker technology.Molecular markers made it possible to genotype the entire genome of an individual.Thus,for the first time,quantitative genetic analysis could be performed based on phenotypic and genotypic information.As a result,quantitative genetic studies were no longer limited to the estimation of genetic parameters by treating the polygenic system as a whole,but were able to identify the locations and effects of individual quantitative trait loci (QTLs) as well as to examine the interactions between QTLs. | WU WeiRen | 2012 | Chinese Science Bulletin2012，57，21： | 0 |
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