1. Genome-wide study of resistant hypertension identified from electronic health records
- Author
-
Andrea H. Ramirez, Nihal El Rouby, Suzette J. Bielinski, Mariza de Andrade, Rhonda M. Cooper-DeHoff, Melissa A. Basford, Luke V. Rasmussen, Yuki Bradford, Joshua C. Denny, Maureen E. Smith, Marc S. Williams, Eric B. Larson, M. Geoffrey Hayes, Xiaoming Wang, Gail P. Jarvik, Iftikhar J. Kullo, David Carrell, Martha E. Matsumoto, Abel N. Kho, Rongling Li, Dan M. Roden, Jyotishman Pathak, Rex L. Chisholm, Erwin P. Bottinger, Julie A. Johnson, Caitrin W. McDonough, Logan Dumitrescu, Catherine A. McCarty, David J. Carey, Christopher G. Chute, Peggy L. Peissig, Dana C. Crawford, Jennifer A. Pacheco, High Seng Chai, and Marylyn D. Ritchie
- Subjects
Male ,0301 basic medicine ,Physiology ,Drug Resistance ,Datasets as Topic ,Electronic Medical Records ,lcsh:Medicine ,Blood Pressure ,Genome-wide association study ,Vascular Medicine ,Body Mass Index ,Database and Informatics Methods ,Risk Factors ,Ethnicity ,Medicine and Health Sciences ,Electronic Health Records ,Resistant Hypertension ,lcsh:Science ,Multidisciplinary ,Medical record ,Genomics ,Middle Aged ,3. Good health ,Physiological Parameters ,Hypertension ,Algorithms ,Research Article ,Adult ,Genotyping ,medicine.medical_specialty ,Genotype ,Health Informatics ,Single-nucleotide polymorphism ,Research and Analysis Methods ,Polymorphism, Single Nucleotide ,Computer Communication Networks ,03 medical and health sciences ,Genomic Medicine ,Internal medicine ,Genome-Wide Association Studies ,Genetics ,medicine ,Humans ,Molecular Biology Techniques ,Molecular Biology ,Antihypertensive Agents ,Aged ,business.industry ,Body Weight ,lcsh:R ,Case-control study ,Biology and Life Sciences ,Computational Biology ,Human Genetics ,Odds ratio ,Genome Analysis ,030104 developmental biology ,Blood pressure ,Case-Control Studies ,lcsh:Q ,business ,Imputation (genetics) ,Genome-Wide Association Study - Abstract
Resistant hypertension is defined as high blood pressure that remains above treatment goals in spite of the concurrent use of three antihypertensive agents from different classes. Despite the important health consequences of resistant hypertension, few studies of resistant hypertension have been conducted. To perform a genome-wide association study for resistant hypertension, we defined and identified cases of resistant hypertension and hypertensives with treated, controlled hypertension among >47,500 adults residing in the US linked to electronic health records (EHRs) and genotyped as part of the electronic MEdical Records & GEnomics (eMERGE) Network. Electronic selection logic using billing codes, laboratory values, text queries, and medication records was used to identify resistant hypertension cases and controls at each site, and a total of 3,006 cases of resistant hypertension and 876 controlled hypertensives were identified among eMERGE Phase I and II sites. After imputation and quality control, a total of 2,530,150 SNPs were tested for an association among 2,830 multi-ethnic cases of resistant hypertension and 876 controlled hypertensives. No test of association was genome-wide significant in the full dataset or in the dataset limited to European American cases (n = 1,719) and controls (n = 708). The most significant finding was CLNK rs13144136 at p = 1.00x10-6 (odds ratio = 0.68; 95% CI = 0.58–0.80) in the full dataset with similar results in the European American only dataset. We also examined whether SNPs known to influence blood pressure or hypertension also influenced resistant hypertension. None was significant after correction for multiple testing. These data highlight both the difficulties and the potential utility of EHR-linked genomic data to study clinically-relevant traits such as resistant hypertension.
- Published
- 2017
- Full Text
- View/download PDF