Evidence map›Paper›PMID 35356681›Full record

ArticlePharmacogenomics and personalized medicine2022

Chromosomal Region 11p14.1 is Associated with Pharmacokinetics and Pharmacodynamics of Bisoprolol.

Vanessa Fontana, Richard Myles Turner, Ben Francis, Peng Yin, Benno Pütz, Timo P Hiltunen, Sanni Ruotsalainen, Kimmo K Kontula, Bertam Müller-Myhsok, Munir Pirmohamed

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06035978 (Use of Determination of Drug Levels to Optimize Pharmacotherapy of Heart Failure), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 23% 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.

NCT06035978 phase4unknown statusnot on this mapstarted 2024, after this paper: background citation

Use of Determination of Drug Levels to Optimize Pharmacotherapy of Heart Failure

TypeinterventionalSponsorUniversity Hospital OstravaRan2024 to 2026Enrolled100ConditionsCardiovascular Diseases, Heart Failure With Reduced Ejection FractionArmsNebivolol, Valsartan and Sacubitril, Carvedilol, Bisoprolol, Metoprolol
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
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

10 authors at 3 institutions in 3 countries.

Vanessa FontanaThe Wolfson Centre for Personalised Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.ORCID 0000-0002-0146-9113
Richard Myles TurnerThe Wolfson Centre for Personalised Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Ben FrancisDepartment of Biostatistics, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Peng YinDepartment of Biostatistics, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Benno PützMax Planck Institute of Psychiatry, Munich, Germany.ORCID 0000-0002-2208-209X
Timo P HiltunenDepartment of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-7011-0422
Sanni RuotsalainenInstitute for Molecular Medicine Finland, Helsinki Institute of Life Sciences, University of Helsinki, Helsinki, Finland.
Kimmo K KontulaDepartment of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Bertam Müller-MyhsokThe Wolfson Centre for Personalised Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Munir PirmohamedThe Wolfson Centre for Personalised Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.ORCID 0000-0002-7534-7266
University of Liverpool · GBUniversity of Helsinki · FIMax Planck Institute of Psychiatry · DE

Funding

Medical Research Council MR/S000933/1
6 · The paper itself

Abstract

Purpose: Bisoprolol is a widely used beta-blocker in patients with cardiovascular diseases. As with other beta-blockers, there is variability in response to bisoprolol, but the underlying reasons for this have not been clearly elucidated. Our aim was to investigate genetic factors that affect bisoprolol pharmacokinetics (PK) and pharmacodynamics (PD), and potentially the clinical outcomes. Patients and Methods: Patients with non-ST elevation acute coronary syndrome were recruited prospectively on admission to hospital and followed up for up to 2 years. Patients from this cohort who were on treatment with bisoprolol, at any dose, had bisoprolol adherence data and a plasma sample, one month after discharge from index hospitalisation were included in the study. Individual bisoprolol clearance values were estimated using population pharmacokinetic modeling. Genome-wide association analysis after genotyping was undertaken using an Illumina HumanOmniExpressExome-8 v1.0 BeadChip array, while CYP2D6 copy number variations were determined by PCR techniques and phenotypes for CYP2D6 and CYP3A were inferred from the genotype. GWAS significant SNPs were analysed for heart rate response to bisoprolol in an independent cohort of hypertensive subjects. Results: Six hundred twenty-two patients on bisoprolol underwent both PK and genome wide analysis. The mean (IQR) of the estimated clearance in this population was 13.6 (10.0-18.0) L/h. Bisoprolol clearance was associated with rs11029955 (p=7.17×10 Conclusion: A novel locus on the chromosomal region 11p14.1 was associated with bisoprolol clearance in a real-world cohort of patients and was validated in independent cohort with a pharmacodynamic association.

Indexed as

bisoprololgenome-wide associationpharmacokinetics

Identifiers

PMID35356681
PMCPMC8958266
OpenAlexW4226179436

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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.