Evidence map›Paper›PMID 22573399›Full record

SynthesisAmerican journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics2012

Meta-analysis of genetic association studies on bipolar disorder.

Fayaz Seifuddin, Pamela Belmonte Mahon, Jennifer Judy, Mehdi Pirooznia, Dubravka Jancic, Jacob Taylor, Fernando S Goes, James B Potash, Peter P Zandi

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
9.1field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. dbBIP: a comprehensive bipolar disorder database for genetic research.Database : the journal of biological databases and curation · 2022
    Article
  7. Review
  8. A decade in psychiatric GWAS research.Molecular psychiatry · 2019
    Review
  9. Article
  10. Article
  11. Article
  12. A balanced translocation disrupting BCL2L10 and PNLDC1 segregates with affective psychosis.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

9 authors at 3 institutions in 1 country.

Fayaz SeifuddinDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland 21287, USA.
Pamela Belmonte Mahon
Jennifer Judy
Mehdi Pirooznia
Dubravka Jancic
Jacob Taylor
Fernando S Goes
James B Potash
Peter P Zandi
Johns Hopkins University · USUniversity of Iowa · USJohns Hopkins Medicine · US

Funding

Novel Analytic Methods for Rare Variant Detection in Bipolar DisorderK01MH093809 · NIMH · JOHNS HOPKINS UNIVERSITY · PI PIROOZNIA, MEHDI · 2011 to 2015
$886k
NIMH NIH HHS K01 MH093809
6 · The paper itself

Abstract

Numerous candidate gene association studies of bipolar disorder (BP) have been carried out, but the results have been inconsistent. Individual studies are typically underpowered to detect associations with genes of small effect sizes. We conducted a meta-analysis of published candidate gene studies to evaluate the cumulative evidence. We systematically searched for all published candidate gene association studies of BP. We then carried out a random-effects meta-analysis on all polymorphisms that were reported on by three or more case-control studies. The results from meta-analyses of these genes were compared with the findings from a recent mega-analysis of eleven genome-wide association studies (GWAS) in BP performed by the Psychiatric GWAS Consortium (PGC). A total of 487 articles were included in our review. Among these, 33 polymorphisms in 18 genes were reported on by three or more case-control studies and included in the random-effects meta-analysis. Polymorphisms in BDNF, DRD4, DAOA, and TPH1, were found to be nominally significant with a P-value < 0.05. However, none of the findings were significant after correction for multiple testing. Moreover, none of these polymorphisms were nominally significant in the PGC-BP GWAS. A number of plausible candidate genes have been previously associated with BP. However, the lack of robust findings in our review of these candidate genes highlights the need for more atheoretical approaches to study the genetics of BP afforded by GWAS. The results of this meta-analysis and from other on-going genomic experiments in BP are available online at Metamoodics (http://metamoodics.igm.jhmi.edu).

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseBipolar DisorderCase-Control StudiesGenome-Wide Association StudyHumansPolymorphism, Genetic

Identifiers

PMID22573399
PMCPMC3582382
OpenAlexW2027042547

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.