The VA Hypertension Primary Care Longitudinal Cohort: Electronic medical records in the post-genomic era-Reference-Cited by-同舟云学术

The VA Hypertension Primary Care Longitudinal Cohort: Electronic medical records in the post-genomic era

Published:2010-12 Issue:4 Volume:16 Page:274-286
ISSN:1460-4582
Container-title:Health Informatics Journal
language:en
Short-container-title:Health Informatics J

Author:

Salem Rany M.¹,Pandey Braj²,Richard Erin¹,Fung Maple M.¹,Garcia Erin P.³,Brophy Victoria H.⁴,Schork Nicholas J.⁵,O'Connor Daniel T.⁶,Bhatnagar Vibha⁷

Affiliation:

1. University of California, San Diego CA, USA

2. VA San Diego Healthcare System, San Diego CA, USA

3. San Diego State Univeristy, San Diego CA, USA

4. Roche Molecular Systems, Pleasanton CA, USA

5. The Scripps Research Institute, Scripps Genomic Medicine, La Jolla CA, USA

6. University of California, San Diego, CA, USA

7. University of California, San Diego, CA, USA,

Abstract

The Veterans Affairs Hypertension Primary Care Longitudinal Cohort (VAHC) was initiated in 2003 as a pilot study designed to link the VA electronic medical record system with individual genetic data. Between June 2003 and December 2004, 1,527 hypertensive participants were recruited. Protected health information (PHI) was extracted from the regional VA data warehouse. Differences between the clinic and mail recruits suggested that clinic recruitment resulted in an over-sampling of African Americans. A review of medical records in a random sample of study participants confirmed that the data warehouse accurately captured most selected diagnoses. Genomic DNA was acquired non-invasively from buccal cells in mouthwash; ~ 96.5 per cent of samples contained DNA suitable for genotyping, with an average DNA yield of 5.02 ± 0.12 micrograms, enough for several thousand genotypes. The coupling of detailed medical databases with genetic information has the potential to facilitate the genetic study of hypertension and other complex diseases.

Publisher

SAGE Publications

Subject

Health Informatics

Link

http://journals.sagepub.com/doi/pdf/10.1177/1460458210380527

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