Evidence map›Paper›PMID 26105627›Full record

ArticleInternational journal of bipolar disorders2015

Development of a bipolar disorder biobank: differential phenotyping for subsequent biomarker analyses.

Mark A Frye, Susan L McElroy, Manuel Fuentes, Bruce Sutor, Kathryn M Schak, Christine W Galardy, Brian A Palmer, Miguel L Prieto, Simon Kung, Christopher L Sola and 9 more

Abstract read
In one paragraph

Article in International journal of bipolar disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The anxious bipolar phenotype: clinical complexity and treatment response.International journal of bipolar disorders · 2026
    Article
  4. Article
  5. Acid accumulation in bipolar disorder.Journal of affective disorders · 2026
    Article
  6. Article
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  10. Article
  11. Bipolar II disorder: a state-of-the-art review.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2025
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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

19 authors.

Mark A FryeDepartment of Psychiatry and Psychology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA, mfrye@mayo.edu.
Susan L McElroy
Manuel Fuentes
Bruce Sutor
Kathryn M Schak
Christine W Galardy
Brian A Palmer
Miguel L Prieto
Simon Kung
Christopher L Sola
Euijung Ryu
Marin Veldic
Jennifer Geske
Alfredo Cuellar-Barboza
Lisa R Seymour
Nicole Mori
Scott Crowe
Teresa A Rummans
Joanna M Biernacka

Funding

The Mayo Clinic Center for Individualized Treatment of Alcohol DependenceP20AA017830 · NIAAA · MAYO CLINIC ROCHESTER · PI CHOI, DOO-SUP · 2009 to 2010
$2.5M
1H-MR Spectroscopy of Bipolar Depression Before and After Lamotrigine TreatmentR01MH079261 · NIMH · MAYO CLINIC ROCHESTER · PI FRYE, MARK A · 2009 to 2013
$1.2M
NIAAA NIH HHS P20 AA017830NIMH NIH HHS R01 MH079261
6 · The paper itself

Abstract

backgroundWe aimed to establish a bipolar disorder biobank to serve as a resource for clinical and biomarker studies of disease risk and treatment response. Here, we describe the aims, design, infrastructure, and research uses of the biobank, along with demographics and clinical features of the first participants enrolled.

methodsPatients were recruited for the Mayo Clinic Bipolar Biobank beginning in July 2009. The Structured Clinical Interview for DSM-IV was used to confirm bipolar diagnosis. The Bipolar Biobank Clinical Questionnaire and Participant Questionnaire were designed to collect detailed demographic and clinical data, including clinical course of illness measures that would delineate differential phenotypes for subsequent analyses. Blood specimens were obtained from participants, and various aliquots were stored for future research.

resultsAs of September 2014, 1363 participants have been enrolled in the bipolar biobank. Among these first participants, 69.0 % had a diagnosis of bipolar disorder type I. The group was 60.2 % women and predominantly white (90.6 %), with a mean (SD) age of 42.6 (14.9) years. Clinical phenotypes of the group included history of psychosis (42.3 %), suicide attempt (32.5 %), addiction to alcohol (39.1 %), addiction to nicotine (39.8 %), obesity (42.9 %), antidepressant-induced mania (31.7 %), tardive dyskinesia (3.2 %), and history of drug-related serious rash (5.7 %).

conclusionsQuantifying phenotypic patterns of illness beyond bipolar subtype can provide more detailed clinical disease characteristics for biomarker research, including genomic-risk studies. Future research can harness clinically useful biomarkers using state-of-the-art research technology to help stage disease burden and better individualize treatment selection for patients with bipolar disorder.

Identifiers

PMID26105627
PMCPMC4478187

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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.