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Genome-wide study of resistant hypertension identified from electronic health records.
- Source :
-
PloS one [PLoS One] 2017 Feb 21; Vol. 12 (2), pp. e0171745. Date of Electronic Publication: 2017 Feb 21 (Print Publication: 2017). - Publication Year :
- 2017
-
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.
- Subjects :
- Adult
Aged
Algorithms
Blood Pressure genetics
Case-Control Studies
Computer Communication Networks
Datasets as Topic
Ethnicity genetics
Genotype
Humans
Hypertension drug therapy
Hypertension epidemiology
Male
Middle Aged
Polymorphism, Single Nucleotide
Risk Factors
Antihypertensive Agents therapeutic use
Drug Resistance genetics
Electronic Health Records
Genome-Wide Association Study
Hypertension genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1932-6203
- Volume :
- 12
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- PloS one
- Publication Type :
- Academic Journal
- Accession number :
- 28222112
- Full Text :
- https://doi.org/10.1371/journal.pone.0171745