Evidence map›Paper›PMID 19344640›Full record

ArticleNeuroscience2009

Phenomics: the systematic study of phenotypes on a genome-wide scale.

R M Bilder, F W Sabb, T D Cannon, E D London, J D Jentsch, D Stott Parker, R A Poldrack, C Evans, N B Freimer

Abstract read
In one paragraph

Article in Neuroscience, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
–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

93 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Individualized functional connectome identified generalizable biomarkers for psychiatric symptoms in transdiagnostic patients.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article

33 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

9 authors.

R M BilderDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA, USA. rbilder@mednet.ucla.edu
F W Sabb
T D Cannon
E D London
J D Jentsch
D Stott Parker
R A Poldrack
C Evans
N B Freimer

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
Translational Methods/Facilities Core (TMF - Core) (8 of 8)PL1NS062410 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EVANS, CHRISTOPHER J. · 2007 to 2011
$4.6M
Translational Models of Memory and Cognitive Control (Component 5 of 8)RL1MH083270 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JENTSCH, J. DAVID · 2007 to 2011
$2.6M
Whole Genome Assoc. Analysis Strategies for Multi. PhenotypesRL1MH083268 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREIMER, NELSON B. · 2007 to 2011
$2.1M
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
The Cognitive Atlas: Developing an Interdisciplinary Knowledge Base Through SociaR01MH082795 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI POLDRACK, RUSSELL A · 2008 to 2012
$1.9M
COGNITIVE PHENOTYPING:NEUROPSYCHIATRIC THERAPEUTICS(RMI)P20RR020750 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BILDER, ROBERT M · 2004 to 2006
$1.8M
Memory Mechanisms and Mental DisordersRL1MH083269 · NIMH · YALE UNIVERSITY · PI CANNON, TYRONE D · 2007 to 2011
$1.8M
Response Inhibition and Dopamine Neurotransmission (RI) (4 of 8)RL1DA024853 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LONDON, EDYTHE DANICK · 2007 to 2011
$1.7M
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
NCRR NIH HHS P20 RR020750NIDA NIH HHS RL1 DA024853NIDA NIH HHS RL1DA024853NIDCR NIH HHS UL1 DE019580NIDCR NIH HHS UL1DE019580NIMH NIH HHS PL1 MH083271NIMH NIH HHS PL1MH083271NIMH NIH HHS R01 MH082795NIMH NIH HHS R01MH082795NIMH NIH HHS RL1 MH083268NIMH NIH HHS RL1MH083268NIMH NIH HHS RL1 MH083269NIMH NIH HHS RL1MH083269NIMH NIH HHS RL1 MH083270NIMH NIH HHS RL1MH083270NINDS NIH HHS PL1 NS062410NINDS NIH HHS PL1NS062410NLM NIH HHS RL1 LM009833NLM NIH HHS RL1LM009833
6 · The paper itself

Abstract

Phenomics is an emerging transdiscipline dedicated to the systematic study of phenotypes on a genome-wide scale. New methods for high-throughput genotyping have changed the priority for biomedical research to phenotyping, but the human phenome is vast and its dimensionality remains unknown. Phenomics research strategies capable of linking genetic variation to public health concerns need to prioritize development of mechanistic frameworks that relate neural systems functioning to human behavior. New approaches to phenotype definition will benefit from crossing neuropsychiatric syndromal boundaries, and defining phenotypic features across multiple levels of expression from proteome to syndrome. The demand for high throughput phenotyping may stimulate a migration from conventional laboratory to web-based assessment of behavior, and this offers the promise of dynamic phenotyping-the iterative refinement of phenotype assays based on prior genotype-phenotype associations. Phenotypes that can be studied across species may provide greatest traction, particularly given rapid development in transgenic modeling. Phenomics research demands vertically integrated research teams, novel analytic strategies and informatics infrastructure to help manage complexity. The Consortium for Neuropsychiatric Phenomics at UCLA has been supported by the National Institutes of Health Roadmap Initiative to illustrate these principles, and is developing applications that may help investigators assemble, visualize, and ultimately test multi-level phenomics hypotheses. As the transdiscipline of phenomics matures, and work is extended to large-scale international collaborations, there is promise that systematic new knowledge bases will help fulfill the promise of personalized medicine and the rational diagnosis and treatment of neuropsychiatric syndromes.

Indexed as

Genetic TechniquesGenomePhenotypeAnimalsBiomedical ResearchHumansMental DisordersModels, Genetic

Identifiers

PMID19344640
PMCPMC2760679

What OpenQuestion holds

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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.