多位点关联分析方法学的研究进展  

Research progress of multi-locus genome-wide association study

作　　者：温阳俊 冯建英[2] 张瑾[1,2] WEN Yangjun;FENG Jianying;ZHANG Jin(College of Sciences,Nanjing Agricultural University,Nanjing 210095,China;State Key Laboratory of Crop Genetics and Germplasm Enhancement,Nanjing Agricultural University,Nanjing 210095,China)

机构地区：[1]南京农业大学理学院,江苏南京210095 [2]南京农业大学作物遗传与种质创新国家重点实验室,江苏南京210095

出　　处：《南京农业大学学报》2022年第1期1-10,共10页Journal of Nanjing Agricultural University

基　　金：国家自然科学基金项目(32070688);中央高校基本科研业务费专项资金(JCQY202108)。

摘　　要：多位点关联分析在人和动植物遗传研究中的应用日益广泛。本文综述了以混合线性模型(mixed linear model,MLM)为框架下多位点关联分析的主要方法及重要软件平台,包括全基因组关联分析(genome-wide association study,GWAS)混合线性模型方法学的建立与发展,多位点模型方法的发展,多位点GWAS混合线性模型方法的发展,以及GWAS方法学研究的影响因素,最后展望了关联分析的发展方向。Multi-locus association studies have been widely used in human,animal and plant genetics.In this study we summarized the advances of main-stream methodologies and important software platforms for multi-locus association studies based on the mixed linear model(MLM)framework.It included the establishment and development for genome-wide association study(GWAS)mixed linear model methodology,the development of multi-locus model method,the development of multi-locus mixed linear model method,and the influencing factors of GWAS methodology.Finally,we presented the prospect of GWAS developments in the future.

关 键 词：全基因组关联分析 混合线性模型 多位点模型 软件包 组学大数据 

分 类 号：Q943[生物学—植物学]