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

Overview of attention for article published in BMC Psychiatry, May 2016
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Title
The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample
Published in
BMC Psychiatry, May 2016
DOI 10.1186/s12888-016-0732-x
Pubmed ID
Authors

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, Cynthia V. Calkin, Ana Claasen, William H. Coryell, David Craig, Anna DeModena, Mark Frye, Fred H. Gage, Keming Gao, Julie Garnham, Elliot Gershon, Petter Jakobsen, Susan G. Leckband, Michael J. McCarthy, Melvin G. McInnis, Adam X. Maihofer, Jerome Mertens, Gunnar Morken, Caroline M. Nievergelt, John Nurnberger, Son Pham, Helle Schoeyen, Tatyana Shekhtman, Paul D. Shilling, Szabolcs Szelinger, Bruce Tarwater, Jun Yao, Peter P. Zandi, John R. Kelsoe

Abstract

Bipolar 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. This 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. 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. ClinicalTrials.gov Identifier: NCT01272531 Registered: January 6, 2011.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
Sweden 1 <1%
France 1 <1%
Unknown 252 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 16%
Student > Bachelor 34 13%
Student > Master 31 12%
Student > Ph. D. Student 25 10%
Other 17 7%
Other 40 16%
Unknown 69 27%
Readers by discipline Count As %
Medicine and Dentistry 54 21%
Psychology 37 14%
Neuroscience 23 9%
Biochemistry, Genetics and Molecular Biology 18 7%
Pharmacology, Toxicology and Pharmaceutical Science 15 6%
Other 35 14%
Unknown 75 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 October 2018.
All research outputs
#14,260,335
of 22,867,327 outputs
Outputs from BMC Psychiatry
#3,066
of 4,698 outputs
Outputs of similar age
#159,749
of 298,934 outputs
Outputs of similar age from BMC Psychiatry
#65
of 115 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,698 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 298,934 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.