Trial reportJournal of translational medicine2012
Power to identify a genetic predictor of antihypertensive drug response using different methods to measure blood pressure response.
Trial report in Journal of translational medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00005520 (Genetic Epidemiology of Responses to Antihypertensives), which is not on this map. Cited by 20 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Genetic Epidemiology of Responses to Antihypertensives
Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Genome-Wide Meta-Analysis of Blood Pressure Response to βJournal of the American Heart Association · 2019Pooled it
- Genome-Wide and Gene-Based Meta-Analyses Identify Novel Loci Influencing Blood Pressure Response to Hydrochlorothiazide.Hypertension (Dallas, Tex. : 1979) · 2017Pooled it
- Pharmacogenomic Genome-Wide Meta-Analysis of Blood Pressure Response to β-Blockers in Hypertensive African Americans.Hypertension (Dallas, Tex. : 1979) · 2016Pooled it
- A randomized, cross-over trial of metoprolol succinate formulations to evaluate PK and PD end points for therapeutic equivalence.Clinical and translational science · 2022Trial
- Genome Wide Analysis Approach Suggests Chromosome 2 Locus to be Associated with Thiazide and Thiazide Like-Diuretics Blood Pressure Response.Scientific reports · 2019Trial
- Genomic Association Analysis Reveals Variants Associated With Blood Pressure Response to Beta-Blockers in European Americans.Clinical and translational science · 2019Trial
- Genetic Variants Influencing Plasma Renin Activity in Hypertensive Patients From the PEAR Study (Pharmacogenomic Evaluation of Antihypertensive Responses).Circulation. Genomic and precision medicine · 2018Trial
- Genome-Wide Prioritization and Transcriptomics Reveal Novel Signatures Associated With Thiazide Diuretics Blood Pressure Response.Circulation. Cardiovascular genetics · 2017Trial
- Hypertension susceptibility loci and blood pressure response to antihypertensives: results from the pharmacogenomic evaluation of antihypertensive responses study.Circulation. Cardiovascular genetics · 2012Trial
- Circulating microRNA Biomarkers of Thiazide Response in Hypertension.Journal of the American Heart Association · 2024Article
- First-line diuretics versus other classes of antihypertensive drugs for hypertension.The Cochrane database of systematic reviews · 2023Review
- Pharmacogenomics of amlodipine and hydrochlorothiazide therapy and the quest for improved control of hypertension: a mini review.Heart failure reviews · 2019Review
- Blood pressure signature genes and blood pressure response to thiazide diuretics: results from the PEAR and PEAR-2 studies.BMC medical genomics · 2018Article
- Sphingolipid Metabolic Pathway Impacts Thiazide Diuretics Blood Pressure Response: Insights From Genomics, Metabolomics, and Lipidomics.Journal of the American Heart Association · 2017Article
- Whole Transcriptome Sequencing Analyses Reveal Molecular Markers of Blood Pressure Response to Thiazide Diuretics.Scientific reports · 2017Article
- Presence of arachidonoyl-carnitine is associated with adverse cardiometabolic responses in hypertensive patients treated with atenolol.Metabolomics : Official journal of the Metabolomic Society · 2016Article
- A Genetic Response Score for Hydrochlorothiazide Use: Insights From Genomics and Metabolomics Integration.Hypertension (Dallas, Tex. : 1979) · 2016Article
- PTPRD gene associated with blood pressure response to atenolol and resistant hypertension.Journal of hypertension · 2015Article
- Pharmacogenomics of hypertension and heart disease.Current hypertension reports · 2015Review
- Genomic association analysis of common variants influencing antihypertensive response to hydrochlorothiazide.Hypertension (Dallas, Tex. : 1979) · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundTo determine whether office, home, ambulatory daytime and nighttime blood pressure (BP) responses to antihypertensive drug therapy measure the same signal and which method provides greatest power to identify genetic predictors of BP response.
methodsWe analyzed office, home, ambulatory daytime and nighttime BP responses in hypertensive adults randomized to atenolol (N = 242) or hydrochlorothiazide (N = 257) in the Pharmacogenomic Evaluation of Antihypertensive Responses Study. Since different measured BP responses may have different predictors, we tested the "same signal" model by using linear regression methods to determine whether known predictors of BP response depend on the method of BP measurement. We estimated signal-to-noise ratios and compared power to identify a genetic polymorphism predicting BP response measured by each method separately and by weighted averages of multiple methods.
resultsAfter adjustment for pretreatment BP level, known predictors of BP response including plasma renin activity, race, and sex were independent of the method of BP measurement. Signal-to-noise ratios were more than 2-fold greater for home and ambulatory daytime BP responses than for office and ambulatory nighttime BP responses and up to 11-fold greater for weighted averages of all four methods. Power to identify a genetic polymorphism predicting BP response was directly related to the signal-to-noise ratio and, therefore, greatest with the weighted averages.
conclusionSince different methods of measuring BP response to antihypertensive drug therapy measure the same signal, weighted averages of the BP responses measured by multiple methods minimize measurement error and optimize power to identify genetic predictors of BP response.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.