Merging Electronic Health Record Data and Genomics for Cardiovascular Research: A Science Advisory From the American Heart Association.

Journal Article

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.

Full Text

Published version (via Digital Object Identifier)

Duke Authors

Cited Authors

Hall, JL; Ryan, JJ; Bray, BE; Brown, C; Lanfear, D; Newby, LK; Relling, MV; Risch, NJ; Roden, DM; Shaw, SY; Tcheng, JE; Tenenbaum, J; Wang, TN; Weintraub, WS; American Heart Association Professional and Public Education and Publications Committee of the Council on Functional Genomics and Translational Biology, ; Council on Clinical Cardiology, ; Council on Epidemiology and Prevention, ; Council on Quality of Care and Outcomes Research, and Stroke Council,

Published Date

April 2016

Published In

Circulation: Cardiovascular Genetics

Volume / Issue

9 / 2

Start / End Page

193 - 202

PubMed ID

26976545

Electronic International Standard Serial Number (EISSN)

1942-3268

International Standard Serial Number (ISSN)

1942-325X

Digital Object Identifier (DOI)

10.1161/hcg.0000000000000029

Scholars@Duke