RESEARCH INTERESTS Dr. Eric R Gamazon develops and applies genomic and computational methods to investigate the genetic architecture of complex traits, including disease risk and drug response, using functional genomics, machine learning, and phenomics. He is interested in what can be learned from DNA sequence and multi-omics data about disease mechanism, therapeutic intervention, molecular evolution, and biological function. An ongoing project involves understanding gene regulation across tissues and cell types to gain insights into disease mechanisms and therapeutic targets. He utilizes large-scale DNA biobank data linked to electronic health records, along with data science and computation, to identify genes involved in human health and disease, to discover novel biomarkers, and to enable a comprehensive systems view of the disease phenome. His research develops approaches and methodologies that are broadly applicable, but these may be evaluated with specific disease areas, cell types, or genes. Overall goals are to understand the biology of genomes and to advance genomic medicine. He is part of the GTEx Consortium and the T2D-GENES Consortium. He was also a member of the International Warfarin Pharmacogenetics Consortium. He is a recipient of the inaugural Genomic Innovator Award (2019) from the National Institutes of Health (NIH). He is a faculty member in the Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center. He is a Life Member (2019 -- present) of Clare Hall, University of Cambridge, able to return any time to participate in the intellectual life of the college. Clare Hall is a unique post-graduate college devoted to research and scholarship and a culturally rich and intellectually exciting academic community. In 2018, he was elected to a Clare Hall Visiting Fellowship to advance his research and scholarship. He was also a visiting scholar in the Department of Medicine, the MRC Epidemiology Unit, and the MRC Biostatistics Unit of the University of Cambridge. show More

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Evolution over the last 10 years of activity
Aggregated career metrics
351

Total documents

6.54

Normalized Impact

117

Highly Cited Papers (10%)

53.28

International Collab. (%)

Most cited publications


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