NOV 12, 2015 09:00 AM PST
Introducing an ancestrally diverse whole genome data set for select cohort and control research applications
Presented at the Clinical Diagnostics and Research Virtual Event
2 8 713

Speakers:
  • Chief, Division of Medical Genomics, Inova Translational Medicine Institute, Associate Professor, Virginia Commonwealth University School of Medicine
    Biography
      Dr. Solomon, an accomplished scientist and medical geneticist, is dual board-certified in pediatrics and clinical genetics through the National Human Genome Research Institute.

      At Inova Translational Medicine Institute, Dr. Solomon leads the Medical Genomics division - a group of clinicians and researchers that focuses on providing genetic and genomic medical care, discovering new explanations for genetic disorders, and studying the best ways to integrate cutting-edge genomic resources into clinical practice.

      Previously Dr. Solomon held positions at National Institutes of Health researching the genetic and genomic causes of both rare and common conditions, especially certain types of congenital anomalies. The author of over 70 peer-reviewed articles and book chapters, Dr. Solomon serves as an editor on a number of medical journals, has edited several medical textbooks, and is actively involved in genetic and genomic training and education.

    Abstract:
    Introduction and adoption of whole-genome sequencing has enabled new methods of investigation in the quest for answers in diagnostic odyssey cases as well as in the broader study of genetic diversity in affected and healthy populations. Ground breaking studies at the Inova Translational Medicine Institute (ITMI) have generated a data set of nearly 7,000 and growing fully sequenced genomes annotated with familial relationships, ancestral origin and clinical phenotypes. This data set has been the focus of a number of recent publications describing diverse applications including clinical diagnostic cases of children presenting with congenital anomalies and characterization of germline variation in cancer-susceptibility genes in a healthy population, as well as having provided the basis for an exploration of the utility of whole-genome sequencing for detection of newborn screening disorders.
    Using these and other studies as examples, we will discuss the importance of having access to such an ancestrally diverse data set in understanding genetic variation and interpreting the likely clinical relevance of individual genomic variants.

    Learning Objectives
    1. Appreciate the utility of whole-genome sequencing for diagnostic odyssey cases and cohort analyses
    2. Understand the value of an ancestrally diverse control data set 
    3. Apply allele frequency information in the evaluation of likely pathogenic variants for clinical significance

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