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A Genetic Response Score for Hydrochlorothiazide Use: Insights From Genomics and Metabolomics Integration.

Publication ,  Journal Article
Shahin, MH; Gong, Y; McDonough, CW; Rotroff, DM; Beitelshees, AL; Garrett, TJ; Gums, JG; Motsinger-Reif, A; Chapman, AB; Turner, ST; Frye, RF ...
Published in: Hypertension
September 2016

Hydrochlorothiazide is among the most commonly prescribed antihypertensives; yet, <50% of hydrochlorothiazide-treated patients achieve blood pressure (BP) control. Herein, we integrated metabolomic and genomic profiles of hydrochlorothiazide-treated patients to identify novel genetic markers associated with hydrochlorothiazide BP response. The primary analysis included 228 white hypertensives treated with hydrochlorothiazide from the Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR) study. Genome-wide analysis was conducted using Illumina Omni 1 mol/L-Quad Chip, and untargeted metabolomics was performed on baseline fasting plasma samples using a gas chromatography-time-of-flight mass spectrometry platform. We found 13 metabolites significantly associated with hydrochlorothiazide systolic BP (SBP) and diastolic BP (DBP) responses (false discovery rate, <0.05). In addition, integrating genomic and metabolomic data revealed 3 polymorphisms (rs2727563 PRKAG2, rs12604940 DCC, and rs13262930 EPHX2) along with arachidonic acid, converging in the netrin signaling pathway (P=1×10(-5)), as potential markers, significantly influencing hydrochlorothiazide BP response. We successfully replicated the 3 genetic signals in 212 white hypertensives treated with hydrochlorothiazide and created a response score by summing their BP-lowering alleles. We found patients carrying 1 response allele had a significantly lower response than carriers of 6 alleles (∆SBP/∆DBP: -1.5/1.2 versus -16.3/-10.4 mm Hg, respectively, SBP score, P=1×10(-8) and DBP score, P=3×10(-9)). This score explained 11.3% and 11.9% of the variability in hydrochlorothiazide SBP and DBP responses, respectively, and was further validated in another independent study of 196 whites treated with hydrochlorothiazide (DBP score, P=0.03; SBP score, P=0.07). This study suggests that PRKAG2, DCC, and EPHX2 might be important determinants of hydrochlorothiazide BP response.

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Published In

Hypertension

DOI

EISSN

1524-4563

Publication Date

September 2016

Volume

68

Issue

3

Start / End Page

621 / 629

Location

United States

Related Subject Headings

  • White People
  • Tumor Suppressor Proteins
  • Treatment Outcome
  • Signal Transduction
  • Severity of Illness Index
  • Receptors, Cell Surface
  • Prospective Studies
  • Polymorphism, Genetic
  • Pharmacogenetics
  • Middle Aged
 

Citation

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Shahin, M. H., Gong, Y., McDonough, C. W., Rotroff, D. M., Beitelshees, A. L., Garrett, T. J., … Johnson, J. A. (2016). A Genetic Response Score for Hydrochlorothiazide Use: Insights From Genomics and Metabolomics Integration. Hypertension, 68(3), 621–629. https://doi.org/10.1161/HYPERTENSIONAHA.116.07328
Shahin, Mohamed H., Yan Gong, Caitrin W. McDonough, Daniel M. Rotroff, Amber L. Beitelshees, Timothy J. Garrett, John G. Gums, et al. “A Genetic Response Score for Hydrochlorothiazide Use: Insights From Genomics and Metabolomics Integration.Hypertension 68, no. 3 (September 2016): 621–29. https://doi.org/10.1161/HYPERTENSIONAHA.116.07328.
Shahin MH, Gong Y, McDonough CW, Rotroff DM, Beitelshees AL, Garrett TJ, et al. A Genetic Response Score for Hydrochlorothiazide Use: Insights From Genomics and Metabolomics Integration. Hypertension. 2016 Sep;68(3):621–9.
Shahin, Mohamed H., et al. “A Genetic Response Score for Hydrochlorothiazide Use: Insights From Genomics and Metabolomics Integration.Hypertension, vol. 68, no. 3, Sept. 2016, pp. 621–29. Pubmed, doi:10.1161/HYPERTENSIONAHA.116.07328.
Shahin MH, Gong Y, McDonough CW, Rotroff DM, Beitelshees AL, Garrett TJ, Gums JG, Motsinger-Reif A, Chapman AB, Turner ST, Boerwinkle E, Frye RF, Fiehn O, Cooper-DeHoff RM, Kaddurah-Daouk R, Johnson JA. A Genetic Response Score for Hydrochlorothiazide Use: Insights From Genomics and Metabolomics Integration. Hypertension. 2016 Sep;68(3):621–629.

Published In

Hypertension

DOI

EISSN

1524-4563

Publication Date

September 2016

Volume

68

Issue

3

Start / End Page

621 / 629

Location

United States

Related Subject Headings

  • White People
  • Tumor Suppressor Proteins
  • Treatment Outcome
  • Signal Transduction
  • Severity of Illness Index
  • Receptors, Cell Surface
  • Prospective Studies
  • Polymorphism, Genetic
  • Pharmacogenetics
  • Middle Aged