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Genome-wide study of resistant hypertension identified from electronic health records.

Authors :
Dumitrescu L
Ritchie MD
Denny JC
El Rouby NM
McDonough CW
Bradford Y
Ramirez AH
Bielinski SJ
Basford MA
Chai HS
Peissig P
Carrell D
Pathak J
Rasmussen LV
Wang X
Pacheco JA
Kho AN
Hayes MG
Matsumoto M
Smith ME
Li R
Cooper-DeHoff RM
Kullo IJ
Chute CG
Chisholm RL
Jarvik GP
Larson EB
Carey D
McCarty CA
Williams MS
Roden DM
Bottinger E
Johnson JA
de Andrade M
Crawford DC
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.

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