活动类型:

重大活动

活动名称:

7月24日天津工生所学术报告会预告

地点:

主讲人:

联系人:

中国科学院

联系方式:

开始时间:

2015-07-22 00:00

结束时间:

2015-07-22 00:00

说明:

报告题目:Million Genomes Project

报 告 人:徐讯   华大基因研究院执行院长    

报告时间:7月24日(星期五) 14:00  

报告地点:天津工业生物所 C408报告厅

报告人简介:徐讯,深圳华大基因研究院执行院长,主持分子生物学实验技术、信息技术的研发工作。具体研究方向包括动植物组装及进化研究,动植物群体和遗传多态性研究,并对相关生物实验技术包括动植物分子育种技术、单细胞操作技术等实验技术的进行了探索研究,建立了单细胞微量测序的实验技术平台。     

报告摘要:The achievement made by Human Genome Project and 1000 Genome project shows the power of the context and variation catalogue of genetics. Those help to address information of variations related to diseases and support studies with better references. Innumerable important discoveries have been found, promoting our knowledge from basic research to clinical potential. However we further find more rare but largely existing variations have not but should be solved by much larger data especially for resolving the difficult faced by personalized medicine and precise medicine. The advanced sequencing technology we developed since merged with Complete Genomics now enable us to do ‘real’ 1000 dollars genome and enable us to reach the scale of million genome per year in a more accurate, fast and cost efficient way.  

We have announced million genome project two years ago and now we are more confident to reach to million scale in much shorter plan. It is million genome level project but not just simply thousands times of 1000 genomes project. The project will aim at clinical purpose driven genomic data accumulation and application. The initial 10,000 samples with impeccable clinical and tracking records already been collected and shows it will be a solid foundation stone for foreseeable good prospect. With thousands of refined individual genetic data from different ethnic groups, diseases study will be much more deeply and comprehensively. From pathogenesis to pharmacokinetics, basis research could benefit with statistical significance. Risk prediction, prevention, early diagnosis, precise medicine and prognostic caring will be ensured for better practice by ever most sophisticated knowledge of individual diversity and cohort similarity.  

报告人详细简历请见附件。