Evidence map›Paper›PMID 24725193›Full record

ArticleBipolar disorders2014

Bipolar polygenic loading and bipolar spectrum features in major depressive disorder.

Anna Wiste, Elise B Robinson, Yuri Milaneschi, Sandra Meier, Stephan Ripke, Caitlin C Clements, Garrett M Fitzmaurice, Marcella Rietschel, Brenda W Penninx, Jordan W Smoller and 1 more

Abstract read
In one paragraph

Article in Bipolar disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Polygenic risk score: use in migraine research.The journal of headache and pain · 2018
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Integrated neurobiology of bipolar disorder.Frontiers in psychiatry · 2014
    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

11 authors.

Anna WistePsychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Boston, MA, USA; Center for Experimental Drugs and Diagnostics, Department of Psychiatry, Boston, MA, USA.
Elise B Robinson
Yuri Milaneschi
Sandra Meier
Stephan Ripke
Caitlin C Clements
Garrett M Fitzmaurice
Marcella Rietschel
Brenda W Penninx
Jordan W Smoller
Roy H Perlis

Funding

Training Program in Psychiatric Genetics and Translational ResearchT32MH017119 · NIMH · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI KARESTAN C KOENEN, Jukka-Pekka Onnela · 1985 to 2026
$8.9M
Fostering Research Mentorship & Training during Psychiatry Residency SupplementR25MH094612 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI FAVA, MAURIZIO, GREENFIELD, SHELLY F. · 2011 to 2022
$2.3M
Building a Risk Stratification Model for Treatment Resistance in Major DepressiveR01MH086026 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PERLIS, ROY H. · 2009 to 2011
$1.3M
Research and Mentoring on Integrating Psychiatric Genetics and NeuroscienceK24MH094614 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SMOLLER, JORDAN W · 2012 to 2016
$925k
NIMH NIH HHS 5R25MH094612NIMH NIH HHS K24 MH094614NIMH NIH HHS MH086026NIMH NIH HHS R01 MH086026NIMH NIH HHS R25 MH094612NIMH NIH HHS T32 MH017119NIMH NIH HHS T32MH017119
6 · The paper itself

Abstract

objectivesFamily and genetic studies indicate overlapping liability for major depressive disorder and bipolar disorder. The purpose of the present study was to determine whether this shared genetic liability influences clinical presentation.

methodsA polygenic risk score for bipolar disorder, derived from a large genome-wide association meta-analysis, was generated for each subject of European-American ancestry (n = 1,274) in the Sequential Treatment Alternatives to Relieve Depression study (STAR*D) outpatient major depressive disorder cohort. A hypothesis-driven approach was used to test for association between bipolar disorder risk score and features of depression associated with bipolar disorder in the literature. Follow-up analyses were performed in two additional cohorts.

resultsA generalized linear mixed model including seven features hypothesized to be associated with bipolar spectrum illness was significantly associated with bipolar polygenic risk score [F = 2.07, degrees of freedom (df) = 7, p = 0.04]. Features included early onset, suicide attempt, recurrent depression, atypical depression, subclinical mania, subclinical psychosis, and severity. Post-hoc univariate analyses demonstrated that the major contributors to this omnibus association were onset of illness at age ≤ 18 years [odds ratio (OR) = 1.2, p = 0.003], history of suicide attempt (OR = 1.21, p = 0.03), and presence of at least one manic symptom (OR = 1.16, p = 0.02). The maximal variance in these traits explained by polygenic score ranged from 0.8% to 1.1%. However, analyses in two replication cohorts testing a five-feature model did not support this association.

conclusionsBipolar genetic loading appeared to be associated with bipolar-like presentation in major depressive disorder in the primary analysis. However, the results were at most inconclusive because of lack of replication. Replication efforts were challenged by different ascertainment and assessment strategies in the different cohorts. The methodological approach described here may prove useful in applying genetic data to clarify psychiatric nosology in future studies.

Indexed as

Bipolar DisorderFemaleGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansMajor Depressive DisorderMaleMeta-Analysis as TopicMultivariate AnalysisPsychiatric Status Rating ScalesWhite Peoplebipolar disorderdepressiongeneticsmajor depressive disorderpolygenic scoreSTAR*D

Identifiers

PMID24725193
PMCPMC4427243

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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.