Development of a Genomic Data Flow Framework: Results of a Survey Administered to NIH-NHGRI IGNITE and eMERGE Consortia Participants

  • Paul Dexter
  • , Henry Ong
  • , Amanda Elsey
  • , Gillian Bell
  • , Nephi Walton
  • , Wendy Chung
  • , Luke Rasmussen
  • , Kevin Hicks
  • , Aniwaa Owusu-Obeng
  • , Stuart Scott
  • , Steve Ellis
  • , Josh Peterson

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Precision health's more individualized molecular approach will enrich our understanding of disease etiology and patient outcomes. Universal implementation of precision health will not be feasible, however, until there is much greater automation of processes related to genomic data transmission, transformation, and interpretation. In this paper, we describe a framework for genomic data flow developed by the Clinical Informatics Work Group of the NIH National Human Genome Research Institute (NHGRI) IGNITE Network consortium. We subsequently report the results of a genomic data flow survey administered to sites funded by NIH-NHGRI for large scale genomic medicine implementations. Finally, we discuss insights and challenges identified through these survey results as they relate to both the current and a desirable future state of genomic data flow.

Original languageEnglish
Pages (from-to)363-370
Number of pages8
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Volume2019
StatePublished - 2019

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