Evidence map›Paper›PMID 28030426›Full record

SynthesisPharmacogenetics and genomics2017

Meta-analysis of genome-wide association studies on the intolerance of angiotensin-converting enzyme inhibitors.

Seyed H Mahmoudpour, Abirami Veluchamy, Moneeza K Siddiqui, Folkert W Asselbergs, Patrick C Souverein, Catherine E de Keyser, Albert Hofman, Chim C Lang, Alexander S F Doney, Bruno H Stricker and 4 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Pharmacogenetics and genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 13% of its field
1 · What the graph read from 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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Review
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  8. Drug-Induced Cough.Physiological research · 2020
    Review
  9. ThePharmacogenomics · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 2 countries.

Seyed H MahmoudpouraDepartment of Pharmaceutical Sciences, Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University bDepartment of Cardiology, Division of Heart and Lungs, University Medical Center cDurrer Centre for Cardiovascular Research, Netherlands Heart Institute, Utrecht dDepartment of Epidemiology, Erasmus Medical Center, Rotterdam eDepartment of Respiratory Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands fCentre for Pharmacogenetics and Pharmacogenomics, Medical Research Institute, Ninewells Hospital and School of Medicine, University of Dundee, Dundee gInstitute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK hDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Abirami Veluchamy
Moneeza K Siddiqui
Folkert W Asselbergs
Patrick C Souverein
Catherine E de Keyser
Albert Hofman
Chim C Lang
Alexander S F Doney
Bruno H Stricker
Anthonius de Boer
Anke H Maitland-van der Zee
Colin N A Palmer
PREDICTION-ADR consortium
Utrecht University · NLUniversity College London · GBNinewells Hospital · GB

Funding

Department of HealthWellcome TrustWellcome Trust 072960/Z/03/ZWellcome Trust 084726/Z/08/ZWellcome Trust 084727/Z/08/ZWellcome Trust 085475/B/08/ZWellcome Trust 085475/Z/08/Z
6 · The paper itself

Abstract

objectivesTo identify single nucleotide polymorphisms (SNPs) associated with switching from an angiotensin-converting enzyme (ACE)-inhibitor to an angiotensin receptor blocker.

methodsTwo cohorts of patients starting ACE-inhibitors were identified within the Rotterdam Study in the Netherlands and the Genetics of Diabetes Audit and Research in Tayside Scotland study in Scotland. Cases were intolerant patients who switched from an ACE-inhibitor to an angiotensin receptor blocker and controls were individuals who used ACE-inhibitors continuously for at least 2 years and did not switch. Genome-wide association study (GWAS) using an additive model was run in these sets and the results were meta-analysed using Genome-Wide Association Meta Analysis software.

resultsA total of 972 cases out of 5161 ACE-inhibitor starters were identified. Eight SNPs within four genes reached the genome-wide association study significance level (P<5×10) in the meta-analysis [RNA binding protein, Fox-1 homolog (Caenorhabditis elegans), γ-aminobutyric acid receptor subunit γ-2, sarcoma (Src) homology 2 (SH2) B adaptor protein 1 and membrane bound O-acyltransferase domain containing 1]. The strongest associated SNP was located in an intron of RNA binding protein, Fox-1 homolog (Caenorhabditis elegans), which contains an RNA binding protein [rs2061538: minor allele frequency=0.16, odds ratio=1.52 (95% confidence interval: 1.32-1.76), P=6.2×10].

conclusionThese results indicate that genetic variation in the above-mentioned genes may increase the risk of ACE-inhibitor-induced adverse reactions.

Indexed as

Gene Regulatory NetworksPolymorphism, Single NucleotideAcetyltransferasesAdaptor Proteins, Signal TransducingAgedAngiotensin-Converting Enzyme InhibitorsAntigens, NuclearDiabetes MellitusFemaleGene FrequencyGenome-Wide Association StudyHumansMaleMembrane ProteinsMiddle AgedNerve Tissue ProteinsAcetyltransferasesAdaptor Proteins, Signal TransducingAngiotensin-Converting Enzyme InhibitorsAntigens, NuclearGABRG2 protein, humanMBOAT1 protein, humanMembrane ProteinsNerve Tissue Proteinsneuronal nuclear antigen NeuN, humanReceptors, GABA-ASH2B1 protein, human

Identifiers

PMID28030426
PMCPMC5289595
OpenAlexW2563333639

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Registered trials

None linked

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.