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kelly barrett geisinger national

Assistant Professor, Precision Health

Geisinger Research North Bethesda
6101 Executive Blvd., Suite 110
North Bethesda, MD 20852

Kelly Schiabor Barrett, PhD

Research interests

Kelly Schiabor Barrett, PhD, is assistant professor of Precision Health and Genomics for Geisinger Research in Maryland. She received a doctor of philosophy in genomics from UC Berkeley, bachelor of science degrees in biology and economics, and a certificate in genome sciences and policy from Duke University. Kelly is committed to making precision health a reality today while developing creative, multidisciplinary methods to better understand the genome in the context of human health. 

Personal and population-based genetic information is transforming modern healthcare and the patient experience. Each day, more and more genomic sequence variants are linked to human health phenotypes — not only Mendelian diseases but also complex ones. While each variant’s validity and scope in the context of human health must be thoroughly vetted before moving from research to the practice of healthcare many variants have passed this test and can return valuable health information to healthy people.  

This genomics-driven healthcare transformation is happening today at Geisinger through the MyCode Community Health Initiative. From an implementation perspective, Kelly and her team are rethinking all aspects of the genomics health experience, including sample collection, sequencing, bioinformatics, variant calling, genetic counselling and the continuing care models using MyCode as an example, to better understand what it will take to fully integrate genomics into population health and modern medicine. 

From a research perspective, Kelly and her team are interested in better understanding how human sequence variation from exome and, eventually, whole-genome sequencing data, relates human health phenotypes at the population level. For example, how does our understanding of rare and common variation change as we collect more genomic data from healthy individuals and what do these new learnings mean for preventative care? Her team is also exploring ways to use electronic health record (EHR) data to better characterize the health impact of genetic variants in more common human diseases, like hereditary breast and ovarian cancer (HBOC) and hereditary hemochromatosis (HH), and to ultimately improve our understanding of the underlying biology of these conditions. 


Recent publications

  • Cinnamon S. Bloss, Kelly M. Schiabor, Nicholas J. Schork. Human behavioral informatics in genetic studies of neuropsychiatric disease: Multivariate profile-based analysis, Brain Research Bulletin, Volume 83, Issues 3–4, 2010, Pages 177-188, ISSN 0361-9230. Full text
  • Schiabor KM, Quan AS, Eisen MB (2014) Saccharomyces cerevisiae mitochondria are required for optimal attractiveness to Drosophila melanogaster. PLOS ONE 9(12): e113899. Full text


PhD, Genomics, UC Berkeley
BS, Biology, Economics, Duke University
Certificate, Genome Sciences, Duke University