Merging electronic health record data and genomics for cardiovascular research

Jennifer L. Hall, John J. Ryan, Bruce E. Bray, Candice Brown, David Lanfear, L. Kristin Newby, Mary V. Relling, Neil J. Risch, Dan M. Roden, Stanley Y. Shaw, James E. Tcheng, Jessica Tenenbaum, Thomas N. Wang, William S. Weintraub

Research output: Contribution to journalArticle

Abstract

The process of scientific discovery is rapidly evolving. The funding climate has influenced a favorable shift in scientific discovery toward the use of existing resources such as the electronic health record. The electronic health record enables long-term outlooks on human health and disease, in conjunction with multidimensional phenotypes that include laboratory data, images, vital signs, and other clinical information. Initial work has confirmed the utility of the electronic health record for understanding mechanisms and patterns of variability in disease susceptibility, disease evolution, and drug responses. The addition of biobanks and genomic data to the information contained in the electronic health record has been demonstrated. The purpose of this statement is to discuss the current challenges in and the potential for merging electronic health record data and genomics for cardiovascular research.

Original languageEnglish (US)
Pages (from-to)193-202
Number of pages10
JournalCirculation: Cardiovascular Genetics
Volume9
Issue number2
DOIs
StatePublished - Apr 1 2016
Externally publishedYes

Keywords

  • AHA Scientific Statements
  • electronic health records
  • environment and public health
  • genetic research
  • genetics
  • genomics

ASJC Scopus subject areas

  • Genetics
  • Cardiology and Cardiovascular Medicine
  • Genetics(clinical)

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  • Cite this

    Hall, J. L., Ryan, J. J., Bray, B. E., Brown, C., Lanfear, D., Newby, L. K., Relling, M. V., Risch, N. J., Roden, D. M., Shaw, S. Y., Tcheng, J. E., Tenenbaum, J., Wang, T. N., & Weintraub, W. S. (2016). Merging electronic health record data and genomics for cardiovascular research. Circulation: Cardiovascular Genetics, 9(2), 193-202. https://doi.org/10.1161/HCG.0000000000000029