Research Seminar 23 Aug 2017


Research Seminar

Centre for Genomic Sciences

Predicting Regulatory Variants For Precision Medicine

Dr Junwen John Wang

Professor of Biomedical Informatics, Center for Individualized Medicine and
Department of Health Sciences Research, Mayo Clinic Phoenix;
Affiliate Professor, Department of Biomedical Informatics,
Arizona State University USA

23 Aug 2017 (Wed)
10:00 – 11:30 am

Seminar Room 2, G/F
The Hong Kong Jockey Club Building for Interdisciplinary Research
5 Sassoon Road, Pokfulam, Hong Kong


In the past ten years, Genome-wide association studies (GWAS), whole genome sequencing (WGS) and whole exome sequencing (WES) have identified tens of thousands of genetic variants that are associated with human diseases. Surprisingly, the majority (>90%) of these variants are located in regions that do not code for a protein, and currently annotated as Variants of Unknown Significances (VUS). Many of them are regulatory variants that affect the target gene expression through interaction with transcription factors. I will first introduce several methods we have recently developed to predict regulatory variants, based on genetic, epigenetic and chromatin features. I will then introduce several Mayo sponsored genomic projects, and potential collaborative opportunities in the areas of Cancers (lung, breast, prostate, multiple myeloma, melanoma, GI), transplantation and pharmacogenomics. Mayo Clinic is a pioneer in precision medicine. It has established Center for Individualized Medicine in 2008 aiming to bring genomic discoveries to patient care, and was funded for the first US Precision Medicine Initiative project at US $142 million in 2016.

About the Speaker:

Dr Junwen John Wang is a Professor of Biomedical Informatics at Center for Individualized Medicine and Department of Health Sciences Research at Mayo Clinic Phoenix, which is one of the top 20 best hospitals in US by recent US news rankings. He is also an affiliate professor at Department of Biomedical Informatics, Arizona State University, USA. He holds a MS degree in Computer Science from University of Pennsylvania and a PhD degree in Fisheries/Food Engineering from University of Washington, BE and ME in Food Engineering from China. His group has developed over a dozen tools (software, databases and web servers) in analyzing next generation sequencing data, inferring regulatory networks through multi-dimension OMICs data integration, and predicting regulatory variants. Prior to Mayo, Dr Wang was a faculty member at Centre for Genomic Sciences and School of Biomedical Sciences, the University of Hong Kong. His research page is available at :



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