Evidence map›Paper›PMID 19052778›Full record

ArticleHuman genetics2009

Pathways-based analyses of whole-genome association study data in bipolar disorder reveal genes mediating ion channel activity and synaptic neurotransmission.

Kathleen Askland, Cynthia Read, Jason Moore

Abstract read
PubMed Publisher
In one paragraph

Article in Human genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 3 pooled it
10.0field-weighted citation impact, top 1% 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

77 citing papers in PubMed, 3 syntheses or guidelines pooled it, 141 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. A review of post-GWAS studies in schizophrenia.Translational psychiatry · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Pathophysiological Bases of Comorbidity in Migraine.Frontiers in human neuroscience · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. The statistical properties of gene-set analysis.Nature reviews. Genetics · 2016
    Review
  18. Article
  19. Review
  20. Identification of gene ontologies linked to prefrontal-hippocampal functional coupling in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article

17 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 2 countries.

Kathleen AsklandDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Butler Hospital, 345 Blackstone Blvd., Providence, RI 02906, USA. k.askland@gmail.com
Cynthia Read
Jason Moore
Brown University · USDartmouth College · USProvidence College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite known heritability, the complex genetic architecture of bipolar disorder (likely including trait, locus and allelic heterogeneity, as well as genetic interactions) has confounded genetic discovery for many years. Even modern day whole genome association studies (WGAS) using over half a million common SNPs have implicated only a handful of genes at the genomewide level. Temporally coincident with this series of WGAS, a host of pathways-based analyses (PBAs) have emerged as novel computational approaches in the examination of large-scale datasets, but thus far rarely have been applied to WGAS data in psychiatric disorders. Here, we report a series of PBAs conducted using exploratory visual analysis, an analytic and visualization software tool for examining genomic data, to examine results from the National Institutes of Mental Health and Wellcome-Trust Case Control Consortium WGAS in bipolar disorder. Consistent with a host of prior linkage findings, some candidate gene association studies, and recent WGAS, our strongest findings suggest involvement of ion channel structural and regulatory genes, including voltage-gated ion channels and the broader ion channel group that comprises both voltage- and ligand-gated channels. Moreover, we found only modest overlap in the particular genes driving the significance of these gene sets across the analyses. This observation strongly suggests that variation in ion channel genes, as a class of genes, may contribute to the susceptibility of bipolar disorder and that heterogeneity may figure prominently in the genetic architecture of this susceptibility.

Indexed as

Genome-Wide Association StudySynaptic TransmissionBipolar DisorderHumansIon ChannelsNational Institute of Mental Health (U.S.)United StatesIon Channels

Identifiers

PMID19052778
OpenAlexW1998003466

What OpenQuestion holds

Textmetadata
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.