Rong Chen, PhD
- ASSISTANT PROFESSOR | Genetics and Genomic Sciences
Research Topics:Bioinformatics, Cancer, Genetics, Genomics, Systems Biology, Transplantation
Dr. Chen is Director of Clinical Genome Informatics at Icahn Institute of Genetics and Multiscale Biology. His research focuses on developing databases, genome repositories, and clinical applications to interpret personal genomes for clinical diagnosis, precision medicine, predictive disease risk, and novel therapeutics.
Prior to Mount Sinai, he led the collaborative efforts at Stanford University to drive personalized medicine and clinical diagnosis on Mendelian and complex diseases using genome and exome sequencing. Dr. Chen also helped launch a startup company Personalis, which won the VA's contract for the Million Veteran Genome project.
Dr. Chen has a broad interest in translational bioinformatics and genome interpretation, and has published over 60 papers in Lancet, Cell, Nature Biotechnology, Nature Methods, PNAS, AJHG, PLoS Genetics, PLoS Computational Biology, Genome Research, Genome Biology, Genome Medicine, AJT, and Proteins. He holds numerous patents for software and databases on personalized medicine, diagnosis, and structure modeling.
Multi-Disciplinary Training AreasBiophysics and Systems Pharmacology [BSP], Cancer Biology [CAB], Immunology [IMM], Microbiology [MIC], Neuroscience [NEU]
BS, University of Science and Technology of China
MS, Shanghai Institute of Organic Chemistry
PhD, Boston University
ICHG Young Investigator Awards
My research focuses on translational bioinformatics and genome interpretation. We have been building hundreds of databases from mining literature and public repositories, and integrating genomic, genetic, phenotypic, clinical, and environmental data to illustrate disease mechanisms, identify diagnostics biomarkers, and drive personalized medicine. For more about informatics, please check Chen Laboratory.
To view a complete list of publications, please click here.
Hsu I, Chen R, Ramesh A, Corona E, Kang HP, Ruau D, Butte AJ. Systematic identification of DNA variants associated with ultraviolet radiation using a novel Geographic-Wide Association Study (GeoWAS). BMC medical genetics 2013; 14.
Chen R, Corona E, Sikora M, Dudley JT, Morgan AA, Moreno-Estrada A, Nilsen GB, Ruau D, Lincoln SE, Bustamante CD, Butte AJ. Type 2 diabetes risk alleles demonstrate extreme directional differentiation among human populations, compared to other diseases. PLoS genetics 2012; 8(4).