Rong Chen
Assistant professor
Genetics and Genomic Sciences
Icahn School of Medicine
United States of America
Biography
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.
Research Interest
Bioinformatics, Cancer, Genetics, Genomics, Systems Biology, Transplantation
Publications
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Chen R, Li L, Butte AJ (2007) AILUN: reannotating gene expression data automatically. Nature methods .
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Chen R, Sigdel TK, Li L, Kambham N, Dudley JT, etal (2010) Differentially expressed RNA from public microarray data identifies serum protein biomarkers for cross-organ transplant rejection and other conditions. PLoS computational biology .
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Ashley EA, Butte AJ, Wheeler MT, Chen R, Klein TE, etal (2010) Clinical assessment incorporating a personal genome. Lancet 375: 9725.
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Chen R, Corona E, Sikora M, Dudley JT, Morgan AA, etal (2012) Type 2 diabetes risk alleles demonstrate extreme directional differentiation among human populations, compared to other diseases. PLoS genetics.
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Hsu I, Chen R, Ramesh A, Corona E, Kang HP, etal (2013) Systematic identification of DNA variants associated with ultraviolet radiation using a novel Geographic-Wide Association Study (GeoWAS). BMC medical genetics.
