D. Hunter Best
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D. Hunter Best, PhD

Languages spoken: English

  • Dr. Best is a medical director of Molecular Genetics and Genomics at ARUP and a professor of clinical pathology at the University of Utah School of Medicine. Dr. Best received his PhD in Molecular and Cellular Pathology at the University of North Carolina at Chapel Hill and completed a fellowship in Clinical Molecular Genetics at the Vanderbilt University in Nashville. His research focuses on the genetics of pulmonary arterial hypertension.

    Specialties

    • Clinical Scientist
    • Pathology

    Board Certification

    American Board of Medical Genetics (Clinical Molecular Genetics)

  • Dr. Best is a medical director of Molecular Genetics and Genomics at ARUP and a professor of clinical pathology at the University of Utah School of Medicine. Dr. Best received his PhD in Molecular and Cellular Pathology at the University of North Carolina at Chapel Hill and completed a fellowship in Clinical Molecular Genetics at the Vanderbilt University in Nashville. His research focuses on the genetics of pulmonary arterial hypertension.

    Board Certification and Academic Information

    Academic Departments Pathology -Primary
    Pediatrics -Adjunct
    Academic Divisions Medical Genetics
    Board Certification
    American Board of Medical Genetics (Clinical Molecular Genetics)

    Education history

    Fellowship Clinical Molecular Genetics - Vanderbilt University Clinical Fellow
    Doctoral Training Molecular and Cellular Pathology - University of North Carolina at Chapel Hill Ph.D.
    Undergraduate Biochemistry - North Carolina State University B.S.

    Selected Publications

    Journal Article

    1. Reiley J, Botas P, Miller CE, Zhao J, Malone Jenkins S, Best H, Grubb PH, Mao R, Isla J, Brunelli L (2023). Open-Source Artificial Intelligence System Supports Diagnosis of Mendelian Diseases in Acutely Ill Infants. Children (Basel), 10(6). (Read full article)
    2. OFallon B, Durtschi J, Kellogg A, Lewis T, Close D, Best H (2022). Algorithmic improvements for discovery of germline copy number variants in next-generation sequencing data. BMC Bioinformatics, 23(1), 285. (Read full article)