Evidence map›Paper›PMID 17614132›Full record

ReviewNeuroscience and biobehavioral reviews2007

Convergent Functional Genomics of bipolar disorder: from animal model pharmacogenomics to human genetics and biomarkers.

H Le-Niculescu, M J McFarland, S Mamidipalli, C A Ogden, R Kuczenski, S M Kurian, D R Salomon, Ming T Tsuang, J I Nurnberger, A B Niculescu

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

  1. The Gene Encoding Protocadherin 9 (PCDH9), a Novel Risk Factor for Major Depressive Disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018
    Pooled it
  2. Article
  3. Review
  4. Stress-Related Immune Markers in Depression: Implications for Treatment.The international journal of neuropsychopharmacology · 2016
    Review
  5. Omics-Based Biomarkers: Application of Metabolomics in Neuropsychiatric Disorders.The international journal of neuropsychopharmacology · 2015
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Biomarkers in psychiatry: drawbacks and potential for misuse.International archives of medicine · 2010
    Article
  17. Article
  18. Article
  19. A functional haplotype implicated in vulnerability to develop cocaine dependence is associated with reduced PDYN expression in human brain.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2009
    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

10 authors.

H Le-NiculescuLaboratory of Neurophenomics, Department of Psychiatry,Indiana University School of Medicine, Indianapolis, IN 46202-2873, USA.
M J McFarland
S Mamidipalli
C A Ogden
R Kuczenski
S M Kurian
D R Salomon
Ming T Tsuang
J I Nurnberger
A B Niculescu

Funding

Translational Studies of Cycling in Bipolar DisorderR01MH071912 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TSUANG, MING T. · 2004 to 2007
$1.7M
NIMH NIH HHS R01 MH071912NIMH NIH HHS R01 MH071912-01
6 · The paper itself

Abstract

Progress in understanding the genetic and neurobiological basis of bipolar disorder(s) has come from both human studies and animal model studies. Until recently, the lack of concerted integration between the two approaches has been hindering the pace of discovery, or more exactly, constituted a missed opportunity to accelerate our understanding of this complex and heterogeneous group of disorders. Our group has helped overcome this "lost in translation" barrier by developing an approach called convergent functional genomics (CFG). The approach integrates animal model gene expression data with human genetic linkage/association data, as well as human tissue (postmortem brain, blood) data. This Bayesian strategy for cross-validating findings extracts meaning from large datasets, and prioritizes candidate genes, pathways and mechanisms for subsequent targeted, hypothesis-driven research. The CFG approach may also be particularly useful for identification of blood biomarkers of the illness.

Indexed as

AnimalsBipolar DisorderDisease Models, AnimalGenetic MarkersGenetic Predisposition to DiseaseGenomicsHumansPharmacogeneticsGenetic Markers

Identifiers

PMID17614132
PMCPMC3313450

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.