Evidence map›Paper›PMID 23241943›Full record

Trial reportPharmacogenetics and genomics2013

Genome-wide association study of patient-rated and clinician-rated global impression of severity during antipsychotic treatment.

Shaunna L Clark, Renan P Souza, Daniel E Adkins, Karolina Aberg, József Bukszár, Joseph L McClay, Patrick F Sullivan, Edwin J C G van den Oord

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Pharmacogenetics and genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Pharmacogenetics of Antipsychotic Treatment in Schizophrenia.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Gene expression and response prediction to amisulpride in the OPTiMiSE first episode psychoses.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Genome-wide association study of paliperidone efficacy.Pharmacogenetics and genomics · 2017
    Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

8 authors at 3 institutions in 3 countries.

Shaunna L ClarkCenter for Biomarker Research and Personalized Medicine, School of Pharmacy, Medical College of Virginia, Virginia Commonwealth University, Richmond, Virginia 23298-0581, USA. slclark2@vcu.edu
Renan P Souza
Daniel E Adkins
Karolina Aberg
József Bukszár
Joseph L McClay
Patrick F Sullivan
Edwin J C G van den Oord
Virginia Commonwealth University · USKarolinska Institutet · SEUniversidade Federal de Minas Gerais · BR

Funding

Research Education in Statistical Genetics of Substance AbuseR25DA026119 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2008 to 2018
$3.2M
Integrating Genomic and Environmental Perspectives on Internalizing DisordersK01MH093731 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI ADKINS, DANIEL E · 2011 to 2015
$649k
Investigating Methylation Patterns Associated with Alcohol Use and AddictionK01AA021266 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI CLARK, SHAUNNA L · 2012 to 2016
$580k
NIAAA NIH HHS K01 AA021266NIAAA NIH HHS K01AA021266NIDA NIH HHS DA026119NIDA NIH HHS R25 DA026119NIMH NIH HHS K01 MH093731NIMH NIH HHS K01MH093731
6 · The paper itself

Abstract

objectiveTo examine the unique and congruent findings between multiple raters in a genome-wide association study (GWAS) in the context of understanding individual differences in treatment response during antipsychotic therapy for schizophrenia. MATERIALS AND

methodsWe performed GWAS to search for genetic variation affecting treatment response. The analysis sample included 738 patients with schizophrenia, successfully genotyped for ∼492k single nucleotide polymorphisms (SNPs) from the Clinical Antipsychotic Trial of Intervention Effectiveness. Outcomes included both clinician and patient report of illness severity on global impression scales, the clinical global impression severity scale and patient global impression, respectively. Our criterion for genome-wide significance was a prespecified threshold ensuring that, on average, only 10% of the significant findings are false discoveries.

resultsThirteen SNPs reached genome-wide significance. The top findings indicated three SNPs in PDE4D, 5q12.1 (P=4.2×10, 1.6×10, 1.8×10), mediating the effects of quetiapine on patient-reported severity and an additional three SNPs in TJP1, 15q13.1 (P=2.25×10, 4.86×10, 4.91×10), mediating the effects of risperidone on patient-reported severity. For clinician-reported severity, two SNPs in PPA2, 4q24 (P=3.68×10, 5.05×10), were found to reach genome-wide significance.

conclusionWe found evidence of both a novel and a consistent association when examining the results from the patient and clinician ratings, suggesting that different raters may capture unique facets of schizophrenia. Although our findings require replication and functional validation, this study shows the potential of GWAS to discover genes that potentially mediate treatment response of antipsychotic medication.

Indexed as

Genome-Wide Association StudyPharmacogeneticsAdultAntipsychotic AgentsBiomarkersFemaleGenotypeHumansMalePolymorphism, Single NucleotidePrognosisSchizophreniaAntipsychotic AgentsBiomarkers

Identifiers

PMID23241943
PMCPMC3922978
OpenAlexW2010317620

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.