Evidence map›Paper›PMID 27150464›Full record

Trial reportBMC psychiatry2016

The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample.

Ketil J Oedegaard, Martin Alda, Anit Anand, Ole A Andreassen, Yokesh Balaraman, Wade H Berrettini, Abesh Bhattacharjee, Kristen J Brennand, Katherine E Burdick, Joseph R Calabrese and 28 more

Registry-linked trialOpen access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in BMC psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01272531 (Pharmacogenomics of Mood Stabilizer Response in Bipolar Disorder), which is not on this map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
6.8field-weighted citation impact, top 3% 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.

NCT01272531 completednot on this map

Pharmacogenomics of Mood Stabilizer Response in Bipolar Disorder (PGBD)

TypeobservationalSponsorUniversity of California, San DiegoRan2011 to 2016Enrolled560ConditionsBipolar Affective DisorderArmsMood stabilizer treatment
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Contributions of circadian clock genes to cell survival in fibroblast models of lithium-responsive bipolar disorder.European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology · 2023
    Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Pharmacogenomics of Lithium Response in Bipolar Disorder.Pharmaceuticals (Basel, Switzerland) · 2021
    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

38 authors at 19 institutions in 3 countries.

Ketil J OedegaardDepartment of Clinical Medicine, Section for Psychiatry, Faculty of Medicine, University of Bergen, Bergen, Norway.
Martin AldaDepartment of Psychiatry, Dalhousie University, Halifax, Canada.
Anit AnandDepartment of Psychiatry, Indiana University, Indianapolis, IN, USA.
Ole A AndreassenNORMENT, KB Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Yokesh BalaramanDepartment of Psychiatry, Indiana University, Indianapolis, IN, USA.
Wade H BerrettiniDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
Abesh BhattacharjeeDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
Kristen J BrennandDepartment of Psychiatry, Icahn School of Medicine at Mt Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA.
Katherine E BurdickDepartment of Psychiatry, Icahn School of Medicine at Mt Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA.
Joseph R CalabreseDepartment of Psychiatry, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Cynthia V CalkinDepartment of Psychiatry, Dalhousie University, Halifax, Canada.
Ana ClaasenNeurogenomics Division, The Translational Genomics Research Institute, Phoenix, AZ, USA.
William H CoryellDepartment of Psychiatry, University of Iowa, Iowa City, IA, USA.
David CraigNeurogenomics Division, The Translational Genomics Research Institute, Phoenix, AZ, USA.
Anna DeModenaDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
Mark FryeDepartment of Psychiatry, The Mayo Clinic, Rochester, MN, USA.
Fred H GageLaboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA, USA.
Keming GaoDepartment of Psychiatry, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Julie GarnhamDepartment of Psychiatry, Dalhousie University, Halifax, Canada.
Elliot GershonDepartment of Psychiatry, University of Chicago, Chicago, IL, USA.
Petter JakobsenDivision of Psychiatry, Haukeland University Hospital, Bergen, Norway.
Susan G LeckbandDepartment of Psychiatry, VA San Diego Healthcare System, La Jolla, CA, USA.
Michael J McCarthyDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
Melvin G McInnisDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Adam X MaihoferDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
Jerome MertensLaboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA, USA.
Gunnar MorkenSt. Olav University Hospital of Trondheim and Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Caroline M NievergeltDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
John NurnbergerDepartment of Psychiatry, Indiana University, Indianapolis, IN, USA.
Son PhamLaboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA, USA.
Helle SchoeyenUniversity of Bergen, Faculty of Medicine and Dentistry, Division of Psychiatry, Stavanger University Hospital, Stavanger, Norway.
Tatyana ShekhtmanDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
Paul D ShillingDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
Szabolcs SzelingerNeurogenomics Division, The Translational Genomics Research Institute, Phoenix, AZ, USA.
Bruce TarwaterDepartment of Psychiatry, University of Iowa, Iowa City, IA, USA.
Jun YaoLaboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA, USA.
Peter P ZandiDepartment of Psychiatry, University of Chicago, Chicago, IL, USA.
John R KelsoeDepartment of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA. jkelsoe@ucsd.edu.
University of California, San Diego · USSalk Institute for Biological Studies · USVA San Diego Healthcare System · USDalhousie University · CAIndiana University – Purdue University Indianapolis · USTranslational Genomics Research Institute · USIcahn School of Medicine at Mount Sinai · USUniversity of Chicago · USUniversity of Iowa · USCase Western Reserve University · USHaukeland University Hospital · NOMayo Clinic in Arizona · USNorwegian University of Science and Technology · NOStavanger University Hospital · NOUniversity of Bergen · NOUniversity of Michigan–Ann Arbor · USUniversity of Oslo · NOUniversity of Pennsylvania · USUniversity School · US

Funding

Pharmacogenomics of Mood Stabilizer Response in Bipolar DisorderU01MH092758 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KELSOE, JOHN R. · 2010 to 2014
$6.2M
NIMH NIH HHS MH92758NIMH NIH HHS U01 MH092758
6 · The paper itself

Abstract

backgroundBipolar disorder is a serious and common psychiatric disorder characterized by manic and depressive mood switches and a relapsing and remitting course. The cornerstone of clinical management is stabilization and prophylaxis using mood-stabilizing medications to reduce both manic and depressive symptoms. Lithium remains the gold standard of treatment with the strongest data for both efficacy and suicide prevention. However, many patients do not respond to this medication, and clinically there is a great need for tools to aid the clinician in selecting the correct treatment. Large genome wide association studies (GWAS) investigating retrospectively the effect of lithium response are in the pipeline; however, few large prospective studies on genetic predictors to of lithium response have yet been conducted. The purpose of this project is to identify genes that are associated with lithium response in a large prospective cohort of bipolar patients and to better understand the mechanism of action of lithium and the variation in the genome that influences clinical response. METHODS/

designThis study is an 11-site prospective non-randomized open trial of lithium designed to ascertain a cohort of 700 subjects with bipolar I disorder who experience protocol-defined relapse prevention as a result of treatment with lithium monotherapy. All patients will be diagnosed using the Diagnostic Interview for Genetic Studies (DIGS) and will then enter a 2-year follow-up period on lithium monotherapy if and when they exhibit a score of 1 (normal, not ill), 2 (minimally ill) or 3 (mildly ill) on the Clinical Global Impressions of Severity Scale for Bipolar Disorder (CGI-S-BP Overall Bipolar Illness) for 4 of the 5 preceding weeks. Lithium will be titrated as clinically appropriate, not to exceed serum levels of 1.2 mEq/L. The sample will be evaluated longitudinally using a wide range of clinical scales, cognitive assessments and laboratory tests. On relapse, patients will be discontinued or crossed-over to treatment with valproic acid (VPA) or treatment as usual (TAU). Relapse is defined as a DSM-IV manic, major depressive or mixed episode or if the treating physician decides a change in medication is clinically necessary. The sample will be genotyped for GWAS. The outcome for lithium response will be analyzed as a time to event, where the event is defined as clinical relapse, using a Cox Proportional Hazards model. Positive single nucleotide polymorphisms (SNPs) from past genetic retrospective studies of lithium response, the Consortium on Lithium Genetics (ConLiGen), will be tested in this prospective study sample; a meta-analysis of these samples will then be performed. Finally, neurons will be derived from pluripotent stem cells from lithium responders and non-responders and tested in vivo for response to lithium by gene expression studies. SNPs in genes identified in these cellular studies will also be tested for association to response. DISCUSSION: Lithium is an extraordinarily important therapeutic drug in the clinical management of patients suffering from bipolar disorder. However, a significant proportion of patients, 30-40 %, fail to respond, and there is currently no method to identify the good lithium responders before initiation of treatment. Converging evidence suggests that genetic factors play a strong role in the variation of response to lithium, but only a few genes have been tested and the samples have largely been retrospective or quite small. The current study will collect an entirely unique sample of 700 patients with bipolar disorder to be stabilized on lithium monotherapy and followed for up to 2 years. This study will produce useful information to improve the understanding of the mechanism of action of lithium and will add to the development of a method to predict individual response to lithium, thereby accelerating recovery and reducing suffering and cost.

trial registrationClinicalTrials.gov Identifier: NCT01272531 Registered: January 6, 2011.

Indexed as

AgedAntidepressive AgentsBipolar DisorderDiagnostic and Statistical Manual of Mental DisordersFemaleFollow-Up StudiesGenome-Wide Association StudyHumansLithium CompoundsMaleMiddle AgedPharmacogeneticsProspective StudiesRetrospective StudiesSecondary PreventionValproic AcidAntidepressive AgentsLithium CompoundsValproic AcidBipolar disorderGWASLithiumMood stabilizerPersonalized medicinePharmacogeneticsPrecision medicineProspective trial

Identifiers

PMID27150464
PMCPMC4857276
OpenAlexW2346688287

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.