Evidence map›Paper›PMID 36150907›Full record

ArticleBiological psychiatry2023

Genome-wide Association Study Shows That Executive Functioning Is Influenced by GABAergic Processes and Is a Neurocognitive Genetic Correlate of Psychiatric Disorders.

Alexander S Hatoum, Claire L Morrison, Evann C Mitchell, Max Lam, Chelsie E Benca-Bachman, Andrew E Reineberg, Rohan H C Palmer, Luke M Evans, Matthew C Keller, Naomi P Friedman

Abstract read
In one paragraph

Article in Biological psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 3 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

75 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. The genetics of cannabis lifetime use.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Pooled it
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15 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

10 authors.

Alexander S HatoumInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado; Department of Psychiatry, University of Washington St. Louis Medical School, St. Louis, Missouri.
Claire L MorrisonInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado. Electronic address: claire.morrison-1@colorado.edu.
Evann C MitchellInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado.
Max LamDivision of Psychiatry Research, The Zucker Hillside Hospital, Glen Oaks, New York; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts.
Chelsie E Benca-BachmanBehavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, Atlanta, Georgia.
Andrew E ReinebergInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado.
Rohan H C PalmerBehavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, Atlanta, Georgia.
Luke M EvansInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado; Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, Colorado.
Matthew C KellerInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado.
Naomi P FriedmanInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado.

Funding

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
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
Estimating the genetic and environmental architecture of psychiatric disordersR01MH100141 · NIMH · UNIVERSITY OF COLORADO · PI KELLER, MATTHEW CHARLES · 2013 to 2022
$5.3M
Causes and consequences of mental disorders: The environmental and genetic influences of parents on offspring.R01MH130448 · NIMH · UNIVERSITY OF COLORADO · PI Matthew Charles Keller · 2022 to 2026
$3.7M
Brain and Genetic Predictors of Individual Differences in Pain and Placebo AnalgesiaR01DA046064 · NIDA · UNIVERSITY OF COLORADO · PI FRIEDMAN, NAOMI P., WAGER, TOR D. · 2018 to 2022
$3.2M
Integrative Prioritization of Alcohol and Drug-Addiction Related Genetic LociR01DA042742 · NIDA · EMORY UNIVERSITY · PI PALMER, ROHAN HUGH CRAIG · 2018 to 2022
$1.7M
Advancing the Research Careers of Women and PEERs in Brain ScienceR25NS124530 · NINDS · BROWN UNIVERSITY · PI CARLOS D AIZENMAN, Diane Lipscombe · 2022 to 2026
$1.3M
Mass Multivariate Derivation and Validation of AUD Biotypes using Developmental Imaging and Genomic ApproachesK01AA030083 · NIAAA · WASHINGTON UNIVERSITY · PI Alexander S Hatoum · 2022 to 2026
$897k
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
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NIAAA NIH HHS K01 AA030083NIA NIH HHS R01 AG046938NIDA NIH HHS R01 DA042742NIDA NIH HHS R01 DA046064NIMH NIH HHS K01 MH001865NIMH NIH HHS R01 MH063207NIMH NIH HHS R01 MH100141NIMH NIH HHS R01 MH130448NIMH NIH HHS R56 MH063207NIMH NIH HHS T32 MH016880NINDS NIH HHS R25 NS124530
6 · The paper itself

Abstract

backgroundDeficits in executive functions (EFs), cognitive processes that control goal-directed behaviors, are associated with psychopathology and neurologic disorders. Little is known about the molecular bases of individual differences in EFs. Prior candidate gene studies have been underpowered in their search for dopaminergic processes involved in cognitive functioning, and existing genome-wide association studies of EFs used small sample sizes and/or focused on individual tasks that are imprecise measures of EFs.

methodsWe conducted a genome-wide association study of a common EF (cEF) factor score based on multiple tasks in the UK Biobank (n = 427,037 individuals of European descent).

resultsWe found 129 independent genome-wide significant lead variants in 112 distinct loci. cEF was associated with fast synaptic transmission processes (synaptic, potassium channel, and GABA [gamma-aminobutyric acid] pathways) in gene-based analyses. cEF was genetically correlated with measures of intelligence (IQ) and cognitive processing speed, but cEF and IQ showed differential genetic associations with psychiatric disorders and educational attainment.

conclusionsResults suggest that cEF is a genetically distinct cognitive construct that is particularly relevant to understanding the genetic variance in psychiatric disorders.

Indexed as

Executive FunctionMental DisordersCognitionGenome-Wide Association StudyHumansIntelligenceCognitive controlExecutive functioningGenetic correlationsGenome-wide association analysisLatent variable measurementNeurocognitive functioning

Identifiers

PMID36150907
PMCPMC9722603

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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.