Evidence map›Paper›PMID 31617956›Full record

ArticleDrug development research2020

A pharmacogenetic risk score for the evaluation of major depression severity under treatment with antidepressants.

Sofia H Kanders, Claudia Pisanu, Marcus Bandstein, Jörgen Jonsson, Enrique Castelao, Giorgio Pistis, Mehdi Gholam-Rezaee, Chin B Eap, Martin Preisig, Helgi B Schiöth and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Drug development research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
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  3. Pharmaceuticals (Basel, Switzerland) · 2024
    Review
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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

11 authors at 3 institutions in 4 countries.

Sofia H KandersDepartment of Neuroscience, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-5795-8100
Claudia PisanuDepartment of Neuroscience, Uppsala University, Uppsala, Sweden.
Marcus BandsteinDepartment of Neuroscience, Uppsala University, Uppsala, Sweden.
Jörgen JonssonDepartment of Neuroscience, Uppsala University, Uppsala, Sweden.
Enrique CastelaoDepartment of Psychiatry, University of Lausanne, Lausanne, Switzerland.
Giorgio PistisDepartment of Psychiatry, University of Lausanne, Lausanne, Switzerland.
Mehdi Gholam-RezaeeDepartment of Psychiatry, University of Lausanne, Lausanne, Switzerland.
Chin B EapDepartment of Psychiatry, University of Lausanne, Lausanne, Switzerland.
Martin PreisigDepartment of Psychiatry, University of Lausanne, Lausanne, Switzerland.
Helgi B SchiöthDepartment of Neuroscience, Uppsala University, Uppsala, Sweden.
Jessica MwinyiDepartment of Neuroscience, Uppsala University, Uppsala, Sweden.
Uppsala University · SEUniversity of Lausanne · CHUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severity of symptoms as well as efficacy of antidepressants in major depressive disorder (MDD) is modified by single nucleotide polymorphisms (SNPs) in different genes, which may contribute in an additive or synergistic fashion. We aimed to investigate depression severity in participants with MDD under treatment with antidepressants in relation to the combinatory effect of selected genetic variants combined using a genetic risk score (GRS). The sample included 150 MDD patients on regular AD therapy from the population-based Swiss PsyCoLaus cohort. We investigated 44 SNPs previously associated with antidepressant response by ranking them with regard to their association to the Center for Epidemiologic Studies Short Depression Scale (CES-D) score using random forest. The three top scoring SNPs (rs12248560, rs878567, rs17710780) were subsequently combined into an unweighted GRS, which was included in linear and logistic regression models using the CES-D score, occurrence of a major depressive episode (MDE) during follow-up and regular antidepressant treatment during the 6 months preceding follow-up assessment as outcomes. The GRS was associated with MDE occurrence (p = .02) and ln CES-D score (p = .001). The HTR1A rs878567 variant was associated with ln CES-D after adjustment for demographic and clinical variables [p = .02, lower scores for minor allele (G) carriers]. Additionally, rs12248560 (CYP2C19) CC homozygotes showed a six-fold higher likelihood of regular AD therapy at follow-up compared to minor allele homozygotes [TT; ultrarapid metabolizers (p = .03)]. Our study suggests that the cumulative consideration of pharmacogenetic risk variants more reliably reflects the impact of the genetic background on depression severity than individual SNPs.

Indexed as

Polymorphism, Single NucleotideAdultAgedAntidepressive AgentsCytochrome P-450 CYP2C19FemaleHumansMajor Depressive DisorderMaleMiddle AgedPharmacogenomic VariantsProspective StudiesReceptor, Serotonin, 5-HT1ASeverity of Illness IndexSwitzerlandTreatment OutcomeAntidepressive AgentsCYP2C19 protein, humanCytochrome P-450 CYP2C19HTR1A protein, humanReceptor, Serotonin, 5-HT1Adepressiongenetic risk scorepharmacogeneticsrandom foresttreatment with antidepressants

Identifiers

PMID31617956
PMCPMC7028038
OpenAlexW2980576430

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.