Evidence map›Paper›PMID 37425775›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Meta-analysis of CYP2C19 and CYP2D6 metabolic activity on antidepressant response from 13 clinical studies using genotype imputation.

Danyang Li, Oliver Pain, Chiara Fabbri, Win Lee Edwin Wong, Chris Wai Hang Lo, Stephan Ripke, Annamaria Cattaneo, Daniel Souery, Mojca Z Dernovsek, Neven Henigsberg and 20 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors at 14 institutions in 13 countries.

Danyang LiSocial, Genetic and Developmental Psychiatry Centre, King's College London, London, GB.ORCID 0000-0001-7470-6645
Oliver PainMaurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, GB.
Chiara FabbriSocial, Genetic and Developmental Psychiatry Centre, King's College London, London, GB.
Win Lee Edwin WongSocial, Genetic and Developmental Psychiatry Centre, King's College London, London, GB.
Chris Wai Hang LoSocial, Genetic and Developmental Psychiatry Centre, King's College London, London, GB.
Stephan RipkeDepartment of Psychiatry and Psychotherapy, Universitätsmedizin Berlin Campus Charité Mitte, Berlin, DE.
Annamaria CattaneoBiological Psychiatry Laboratory, IRCCS Fatebenefratelli, Brescia, IT.
Daniel SoueryLaboratoire de Psychologie Medicale, Universitè Libre de Bruxelles and Psy Pluriel, Centre Européen de Psychologie Medicale, Brussels, BE.
Mojca Z DernovsekUniversity Psychiatric Clinic, University of Ljubliana, Ljubljana, SI.
Neven HenigsbergDepartment of Psychiatry, Croatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, HR.
Joanna HauserPsychiatric Genetic Unit,, Poznan University of Medical Sciences, Poznan, PL.
Glyn LewisDivision of Psychiatry, University College London, London, GB.
Ole MorsPsychosis Research Unit, Aarhus University Hospital - Psychiatry, Aarhus, DK.
Nader PerroudDepartment of Psychiatry, Geneva University Hospitals, Geneva, CH.
Marcella RietschelDepartment of Genetic Epidemiology in Psychiatry, Medical Faculty Mannheim, University of Heidelberg, Central Institute of Mental Health, Mannheim, DE.
Rudolf UherDepartment of Psychiatry, Dalhousie University, Halifax, NS, CA.
Wolfgang MaierDepartment of Psychiatry and Psychotherapy, University of Bonn, Bonn, DE.
Bernhard T BauneDepartment of Psychiatry, University of Münster, Münster, DE.
Joanna M BiernackaDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
Guido BondolfiDepartment of Psychiatry, Geneva University Hospitals, Geneva, CH.
Katharina DomschkeDepartment of Psychiatry and Psychotherapy, Medical Center, University of Freiburg, Freiburg, DE.
Masaki KatoDepartment of Neuropsychiatry, Kansai Medical University, Osaka, JP.
Yu-Li LiuCenter for Neuropsychiatric Research, National Health Research Institutes, Miaoli, TW.
Alessandro SerrettiDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, IT.
Shih-Jen TsaiDepartment of Psychiatry, Taipei Veterans General Hospital, Taipei, TW.
Richard WeinshilboumDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
GSRD Consortium
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
Andrew M McIntoshDivision of Psychiatry, University of Edinburgh, Edinburgh, GB.
Cathryn M LewisSocial, Genetic and Developmental Psychiatry Centre, King's College London, London, GB.ORCID 0000-0002-8249-8476
King's College London · GBMayo Clinic · USAarhus University Hospital · DKHeidelberg University · DEKansai Medical University · JPNational University of Singapore · SGPoznan University of Medical Sciences · PLUniversité Libre de Bruxelles · BEUniversity of Bonn · DEGeneva College · USNational Health Research Institutes · TWNational Yang Ming Chiao Tung University · TWUniversity of Milan · ITUniversity of Zagreb · HR

Funding

Pharmacogenetics of Phase II Drug Metabolizing EnzymesU19GM061388 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2010 to 2014
$15.8M
7/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109532 · NIMH · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2016 to 2020
$3.1M
5/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124873 · NIMH · CARDIFF UNIVERSITY · PI LEWIS, CATHRYN, O'DONOVAN, MICHAEL · 2021 to 2025
$2.6M
1/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109528 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2016 to 2020
$2.5M
NIGMS NIH HHS U19 GM061388NIMH NIH HHS R01 MH124873NIMH NIH HHS U01 MH109528NIMH NIH HHS U01 MH109532Wellcome Trust
6 · The paper itself

Abstract

Cytochrome P450 enzymes including CYP2C19 and CYP2D6 are important for antidepressant metabolism and polymorphisms of these genes have been determined to predict metabolite levels. Nonetheless, more evidence is needed to understand the impact of genetic variations on antidepressant response. In this study, individual clinical and genetic data from 13 studies of European and East Asian ancestry populations were collected. The antidepressant response was clinically assessed as remission and percentage improvement. Imputed genotype was used to translate genetic polymorphisms to metabolic phenotypes (poor, intermediate, normal, and rapid+ultrarapid) of CYP2C19 and CYP2D6. The association of CYP2C19 and CYP2D6 metabolic phenotypes with treatment response was examined using normal metabolizers as the reference. Among 5843 depression patients, a higher remission rate was found in CYP2C19 poor metabolizers compared to normal metabolizers at nominal significance but did not survive after multiple testing correction (OR=1.46, 95% CI [1.03, 2.06], p=0.033, heterogeneity I

Indexed as

antidepressantsCYP2C19CYP2D6pharmacogenetics

Identifiers

PMID37425775
PMCPMC10327261
OpenAlexW4382394642

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.