Empowering Mayo Clinic individualized medicine with genomic data warehousing

Iain Horton, Yaxiong Lin, Gay Reed, Mathieu Wiepert, Steven Hart

Research output: Contribution to journalReview article

4 Scopus citations

Abstract

Individualized medicine enables better diagnoses and treatment decisions for patients and promotes research in understanding the molecular underpinnings of disease. Linking individual patient’s genomic and molecular information with their clinical phenotypes is crucial to these efforts. To address this need, the Center for Individualized Medicine at Mayo Clinic has implemented a genomic data warehouse and a workflow management system to bring data from institutional electronic health records and genomic sequencing data from both clinical and research bioinformatics sources into the warehouse. The system is the foundation for Mayo Clinic to build a suite of tools and interfaces to support various clinical and research use cases. The genomic data warehouse is positioned to play a key role in enhancing the research capabilities and advancing individualized patient care at Mayo Clinic.

Original languageEnglish (US)
Article number7
JournalJournal of Personalized Medicine
Volume7
Issue number3
DOIs
StatePublished - Sep 1 2017

    Fingerprint

Keywords

  • Genomic variant call format
  • GVCF
  • Next-generation sequencing
  • NGS
  • Personalized medicine
  • Pharmacogenomics
  • Precision medicine
  • Translational research

ASJC Scopus subject areas

  • Medicine (miscellaneous)

Cite this