Evidence map›Paper›PMID 27743041›Full record

ArticleBehavior genetics2017

Predicting Cognitive Executive Functioning with Polygenic Risk Scores for Psychiatric Disorders.

Chelsie E Benca, Jaime L Derringer, Robin P Corley, Susan E Young, Matthew C Keller, John K Hewitt, Naomi P Friedman

Abstract read
In one paragraph

Article in Behavior genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Polygenic Scores for ADHD: A Meta-Analysis.Research on child and adolescent psychopathology · 2021
    Pooled it
  2. Pooled it
  3. Article
  4. Sex-dependent prediction of autism.Frontiers in genetics · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
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  10. Autism spectrum disorder polygenic scores are associated with every day executive function in children admitted for clinical assessment.Autism research : official journal of the International Society for Autism Research · 2020
    Article
  11. Article
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  13. Review
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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

7 authors.

Chelsie E BencaDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA. chelsie.benca@colorado.edu.
Jaime L DerringerDepartment of Psychology, University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA.
Robin P CorleyInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
Susan E YoungDivision of Substance Dependence, Psychiatry Department, University of Colorado Denver, Denver, CO, USA.
Matthew C KellerDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA.
John K HewittDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA.
Naomi P FriedmanDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA.

Funding

Twin StudyP60DA011015 · NIDA · UNIVERSITY OF COLORADO DENVER · PI HEWITT, JOHN K. · 1997 to 2013
$22.5M
Colorado Adoption/Twin Study of Lifespan behavioral development & cognitive aging (CATSLife2)R01AG046938 · NIA · UNIVERSITY OF COLORADO · PI REYNOLDS, CHANDRA A, WADSWORTH, SALLY J · 2015 to 2024
$18.5M
Proj 5: Early Development (224-250)P50MH079485 · NIMH · UNIVERSITY OF COLORADO · PI BANICH, MARIE T · 2008 to 2012
$8.7M
Neural Substrates of Executive Function: An fMRI Twin StudyR01MH063207 · NIMH · UNIVERSITY OF COLORADO AT BOULDER · PI FRIEDMAN, NAOMI P. · 2001 to 2018
$6.5M
Research Training: Mental Health Behavior GeneticsT32MH016880 · NIMH · UNIVERSITY OF COLORADO AT BOULDER · PI Naomi P. Friedman, Matthew Charles Keller · 1985 to 2026
$5.3M
Genetics and Progression of Early-onset Substance Dependence and HIV RiskR01DA035804 · NIDA · UNIVERSITY OF COLORADO DENVER · PI HOPFER, CHRISTIAN J, STALLINGS, MICHAEL CRAIG · 2014 to 2018
$4.9M
DETERMINANTS OF BEHAVIORAL DEVELOPMENT IN CHILDRENR01HD010333 · NICHD · UNIVERSITY OF COLORADO AT BOULDER · PI WADSWORTH, SALLY J · 1985 to 2010
$3.0M
Executive Function: Links to Drug Use &PsychopathologyK01MH001865 · NIMH · UNIVERSITY OF COLORADO AT BOULDER · PI YOUNG, SUSAN E · 2002 to 2006
$551k
Executive Functions and Self-Regulation: A Twin StudyR56MH063207 · NIMH · UNIVERSITY OF COLORADO · PI HEWITT, JOHN K. · 2007 to 2007
$490k
NIA NIH HHS R01 AG046938NICHD NIH HHS R01 HD010333NIDA NIH HHS P60 DA011015NIDA NIH HHS R01 DA035804NIMH NIH HHS K01 MH001865NIMH NIH HHS P50 MH079485NIMH NIH HHS R01 MH063207NIMH NIH HHS R56 MH063207NIMH NIH HHS T32 MH016880
6 · The paper itself

Abstract

Executive functions (EFs) have been proposed as an endophenotype for psychopathology because EF deficits are associated with most psychiatric disorders. To examine this hypothesis, we derived polygenic risk scores for autism, attention-deficit/hyperactive disorder (ADHD), bipolar disorder, major depression (MDD), and schizophrenia, using genome-wide data from the Psychiatric Genomics Consortium as discovery samples. We then examined the relationships between these polygenic risk scores and three separable EF components measured with a latent variable model. We also examined the relationship between genetic risk for ADHD and MDD and their respective symptom counts and lifetime diagnoses. We found no evidence for larger effect sizes for EFs as endophenotypes for psychiatric disorders. However, larger sample sizes will be important in examining this relationship further.

Indexed as

CognitionExecutive FunctionAttention Deficit Disorder with HyperactivityFemaleHumansIntelligenceMajor Depressive DisorderMaleMultifactorial InheritancePsychotic DisordersRisk FactorsTask Performance and AnalysisYoung AdultCognitive controlExecutive controlIntermediate phenotypesPolygenic risk scores

Identifiers

PMID27743041
PMCPMC5225028

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.