Manage my digital life

This presentation was given by Jun Wang, Founder of iCarbonX and Partner at BGI. It was presented at the ISN’s Forefronts Symposium 2015 taking place in Shenzhen, China, on October 22-25, 2015 for which the theme was ‘Immunomodulation of Cardio-Renal Function’ during Session 1: Transcriptomics, Genomics and Epigenetics.

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Presentation Abstract:

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.