Evidence map›Paper›PMID 19729054›Full record

ReviewBrain research bulletin2010

Candidate genes and their interactions with other genetic/environmental risk factors in the etiology of schizophrenia.

K M Prasad, M E Talkowski, K V Chowdari, L McClain, R H Yolken, V L Nimgaonkar

Open access · greenAbstract readReview
In one paragraph

Review in Brain research bulletin, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. 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

6 authors at 3 institutions in 1 country.

K M PrasadDepartment of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara street, Pitsburgh, PA 15213, United States.
M E Talkowski
K V Chowdari
L McClain
R H Yolken
V L Nimgaonkar
University of Pittsburgh · USCenter for Human Genetics · USJohns Hopkins University · US

Funding

A Neurobehavioral Family Study of SchizophreniaR01MH063480 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NIMGAONKAR, VISHWAJIT LAXMIKANT · 2001 to 2018
$6.1M
Genetic Susceptibility in SchizophreniaR01MH056242 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NIMGAONKAR, VISHWAJIT LAXMIKANT · 2002 to 2007
$2.9M
GENETIC SUSCEPTIBILITY IN SCHIZOPHRENIAR10MH056242 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NIMGAONKAR, VISHWAJIT LAXMIKANT · 1997 to 2001
$1.2M
RGS4 Polymorphisms and Neurobiology of SchizophreniaK23MH072995 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PRASAD, KONASALE M · 2005 to 2009
$877k
Refining the Genetic Basis of the Dopamine Hypothesis of SchizophreniaF31MH080582 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TALKOWSKI, MICHAEL E · 2007 to 2008
$43k
NIMH NIH HHS F31 MH080582NIMH NIH HHS K23 MH072995NIMH NIH HHS MH080582NIMH NIH HHS MH56242NIMH NIH HHS MH63480NIMH NIH HHS MH72995NIMH NIH HHS R01 MH056242NIMH NIH HHS R01 MH063480NIMH NIH HHS R10 MH056242
6 · The paper itself

Abstract

Identification of causative factors for common, chronic disorders is a major focus of current human health science research. These disorders are likely to be caused by multiple etiological agents. Available evidence also suggests that interactions between the risk factors may explain some of their pathogenic effects. While progress in genomics and allied biological research has brought forth powerful analytic techniques, the predicted complexity poses daunting analytic challenges. The search for pathogenesis of schizophrenia shares most of these challenges. We have reviewed the analytic and logistic problems associated with the search for pathogenesis. Evidence for pathogenic interactions is presented for selected diseases and for schizophrenia. We end by suggesting 'recursive analyses' as a potential design to address these challenges. This scheme involves initial focused searches for interactions motivated by available evidence, typically involving identified individual risk factors, such as candidate gene variants. Putative interactions are tested rigorously for replication and for biological plausibility. Support for the interactions from statistical and functional analyses motivates a progressively larger array of interactants that are evaluated recursively. The risk explained by the interactions is assessed concurrently and further elaborate searches may be guided by the results of such analyses. By way of example, we summarize our ongoing analyses of dopaminergic polymorphisms, as well as infectious etiological factors in schizophrenia genesis.

Indexed as

EnvironmentEpistasis, GeneticGenetic Predisposition to DiseaseAnimalsHumansRisk FactorsSchizophrenia

Identifiers

PMID19729054
PMCPMC5025031
OpenAlexW2073325266

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.