作物学报2016，Vol.42Issue(7)：945-956,12.DOI:10.3724/SP.J.1006.2016.00945
植物关联分析方法的研究进展
Advances on Methodologies for Genome-wide Association Studies in Plants
摘要
Abstract
Genome-wide association studies (GWAS) have been widely used in human, animal and plant genetics, and many new approaches and their softwares have been developed in recent years. To make a better use of the GWAS methods in applied research, in this study we summarized the advances on methodologies and softwares for GWAS. First, LD score regression was introduced to investigate the effect of population structure on GWAS. Then, the main approaches and their softwares for GWAS in plants were reviewed, including a single-locus model, a multi-locus model, epistasis, and multiple correlated traits. Finally, we prospected the future developments in GWAS. It should be noted that, in real data analysis at present, the method-ologies for genome-wide single-marker scan under polygenic background and population structure controls are widely used, and the corresponding results are complementary to those derived from non-parameter approaches with high false discovery rate. However, the future approaches for GWAS should be based on the multi-locus genetic model, QTN-by-environment in-teraction, epistatic detection and multivariate analysis. Our purpose was to provide beneficial information in theoretical and applied researches.关键词
全基因组关联分析/上位性/混合线性模型/多位点模型Key words
Genome-wide association study/Epistasis/Mixed linear model/Multi-locus model引用本文复制引用
冯建英,温阳俊,张瑾,章元明..植物关联分析方法的研究进展[J].作物学报,2016,42(7):945-956,12.基金项目
本研究由国家自然科学基金项目(31301004)和中央高校基本科研业务费项目(KJQN201422)资助。 This work was supported by National Natural Science Foundation of China (31301004) and Fundamental Research Funds for the Central Universities (KJQN201422) （31301004）
