题　目：

SNP数据在推断亲缘关系、祖先和疾病基因中的最新应用

时　间：

2019年 9 月 18 日（周三）下午 15：00

地　点：

广州医科大学越秀校区16号楼5楼大会议室

主持人：

王涛 副教授

主讲人：

Prof.Wei-Min Chen, University of Virginia Center for Public Health Genomics

讲座内容：

Genome-wide SNP data can be used to infer relatedness between any two individuals, and the algorithms in software KING make it possible to identify all close relatives in a matter of minutes in biobank-level data that consist of 100,000s of samples. Chen’s paper on KING has been cited more than 700 times. Chen’s lab also developed a fast machine learning algorithm to identify the ancestry of any individual (e.g., European, African, East Asian etc.) in a biobank dataset by leveraging known ancestry in a reference dataset (e.g., the 1000 Genomes Project data). In addition, based upon the newly developed algorithms to identify Identical-By-Descent (IBD) segments and Run of Homozygosity (ROH), Chen and his lab developed novel methods to map disease genes, including linkage analysis, IBD mapping and homozygosity mapping methods. In this talk Dr. Chen will use type 1 diabetes (T1D) datasets to demonstrate the inference of relatedness, ancestry and IBD-based gene mapping.

欢迎对以上内容感兴趣的科研人员、临床医生、学生到场参加交流！敬请提前15分钟进场。

呼吸疾病国家重点实验室

广州呼吸健康研究院

国家呼吸系统疾病临床医学研究中心

广州医科大学附属第一医院

2019年9月11日