TY - JOUR
T1 - Genome-wide study of resistant hypertension identified from electronic health records
AU - Dumitrescu, Logan
AU - Ritchie, Marylyn D.
AU - Denny, Joshua C.
AU - Rouby, Nihal M.El
AU - McDonough, Caitrin W.
AU - Bradford, Yuki
AU - Ramirez, Andrea H.
AU - Bielinski, Suzette J.
AU - Basford, Melissa A.
AU - Chai, High Seng
AU - Peissig, Peggy
AU - Carrell, David
AU - Pathak, Jyotishman
AU - Rasmussen, Luke V.
AU - Wang, Xiaoming
AU - Pacheco, Jennifer A.
AU - Kho, Abel N.
AU - Hayes, M. Geoffrey
AU - Matsumoto, Martha
AU - Smith, Maureen E.
AU - Li, Rongling
AU - Cooper-DeHoff, Rhonda M.
AU - Kullo, Iftikhar J.
AU - Chute, Christopher G.
AU - Chisholm, Rex L.
AU - Jarvik, Gail P.
AU - Larson, Eric B.
AU - Carey, David
AU - McCarty, Catherine A.
AU - Williams, Marc S.
AU - Roden, Dan M.
AU - Bottinger, Erwin
AU - Johnson, Julie A.
AU - De Andrade, Mariza
AU - Crawford, Dana C.
N1 - Publisher Copyright:
©This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
PY - 2017/2
Y1 - 2017/2
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85013498159&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85013498159&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0171745
DO - 10.1371/journal.pone.0171745
M3 - Article
C2 - 28222112
AN - SCOPUS:85013498159
SN - 1932-6203
VL - 12
JO - PloS one
JF - PloS one
IS - 2
M1 - e0171745
ER -