Evidence map›Paper›PMID 21816658›Full record

ReviewTrends in cognitive sciences2011

The genetics of cognitive impairment in schizophrenia: a phenomic perspective.

Robert M Bilder, Andrew Howe, Nic Novak, Fred W Sabb, D Stott Parker

Abstract readReview
In one paragraph

Review in Trends in cognitive sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Cognition and Dopamine DThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2017
    Article
  5. Article
  6. COMT and STH polymorphisms interaction on cognition in schizophrenia.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2015
    Article
  7. Review
  8. Article
  9. The NIMH Research Domain Criteria (RDoC) Project: implications for genetics research.Mammalian genome : official journal of the International Mammalian Genome Society · 2014
    Review
  10. Article
  11. Article
  12. 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

5 authors.

Robert M BilderDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA. RBilder@mednet.ucla.edu
Andrew Howe
Nic Novak
Fred W Sabb
D Stott Parker

Funding

Human Translational Applications Core (HTA - Core) (7 of 8)PL1MH083271 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BILDER, ROBERT M · 2007 to 2011
$5.8M
Consortium for Neuropsychiatric Phenomics-Coordinating Center (1 of 8)UL1DE019580 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BILDER, ROBERT M · 2008 to 2011
$1.9M
Hypothesis Web Development for Neuropsychiatric Phenomics (6 of 8)RL1LM009833 · NLM · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PARKER, DOUGLASS STOTT · 2007 to 2011
$1.5M
NIDCR NIH HHS L1-DE019580NIDCR NIH HHS UL1 DE019580NIMH NIH HHS PL1 MH083271NIMH NIH HHS PL1MH083271NLM NIH HHS RL1 LM009833NLM NIH HHS RL1LM009833
6 · The paper itself

Abstract

Cognitive impairments are central to schizophrenia and could mark underlying biological dysfunction but efforts to detect genetic associations for schizophrenia or cognitive phenotypes have been disappointing. Phenomics strategies emphasizing simultaneous study of multiple phenotypes across biological scales might help, particularly if the high heritabilities of schizophrenia and cognitive impairments are due to large numbers of genetic variants with small effect. Convergent evidence is reviewed, and a new collaborative knowledgebase - CogGene - is introduced to share data about genetic associations with cognitive phenotypes, and enable users to meta-analyze results interactively. CogGene data demonstrate the need for larger studies with broader representation of cognitive phenotypes. Given that meta-analyses will probably be necessary to detect the small association signals linking the genome and cognitive phenotypes, CogGene or similar applications will be needed to enable collaborative knowledge aggregation and specify true effects.

Indexed as

Genome-Wide Association StudyPhenotypeCognition DisordersGenetic Predisposition to DiseaseHumansSchizophrenia

Identifiers

PMID21816658
PMCPMC3163827

What OpenQuestion holds

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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.