【学术报告】An application of linear mixed models in the study of genetic basis of heterosis
发布时间:2024-06-23
访问次数:
信息来源:
字号:[大
中
小]
报 告 人:
江勇 博士(德国莱布尼兹植物遗传与作物研究所)
时 间:
2024年6月28日(星期五)10:00-10:30
地 点:
理学楼102
主办单位:
理学院
联系人:
盛洁
联系方式:
shengjie@cau.edu.cn
|
Abstract: Linear mixed models are extensions of simple linear models to allow both fixed and random effects. Since introduced by R. A. Fisher and developed by C. R. Anderson, it has become a major area of statistical research with various applications. We will present an application in the area of quantitative genetics. In fact, linear mixed models have become the state-of-the-art method for genome-wide association study (GWAS), a statistical genetics tool testing the association between a trait of interest and all genetic variants across the genome, which serves as the first step to finding candidate genes controlling the trait. We applied GWAS to study a particular trait, namely heterosis, i.e. the phenomenon of superior performance of the progenies compared to their parents. In this talk, we will show how to adapt the classic GWAS model to studying heterosis and how to increase the computational efficiency of the model.
|
江勇,德国莱布尼兹植物遗传与作物研究所助理研究员。在Nature Genetics, Nature Plants, Science Advances, PNAS等顶级期刊发表多篇高水平论文。
|
|