Evidence map›Paper›PMID 29660215›Full record

ArticleGenes, brain, and behavior2019

Polygenic risk for psychiatric disorders correlates with executive function in typical development.

A J Schork, T T Brown, D J Hagler, W K Thompson, C-H Chen, A M Dale, T L Jernigan, N Akshoomoff, Pediatric Imaging, Neurocognition and Genetics Study

Abstract read
In one paragraph

Article in Genes, brain, and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. How do 3-year-olds do on the NIH Toolbox Cognitive Battery?Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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
  10. Article
  11. Investigating genetic links between grapheme-colour synaesthesia and neuropsychiatric traits.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    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

9 authors.

A J SchorkDepartment of Cognitive Sciences, UC San Diego, San Diego, California.
T T BrownCenter for Human Development, UC San Diego, San Diego, California.
D J HaglerCenter for Multimodal Imaging and Genetics, UC San Diego School of Medicine, San Diego, California.
W K ThompsonInstitute of Biological Psychiatry, Mental Health Centre Sct. Hans, Roskilde, Denmark.
C-H ChenCenter for Multimodal Imaging and Genetics, UC San Diego School of Medicine, San Diego, California.
A M DaleCenter for Multimodal Imaging and Genetics, UC San Diego School of Medicine, San Diego, California.
T L JerniganDepartment of Cognitive Sciences, UC San Diego, San Diego, California.
N AkshoomoffCenter for Human Development, UC San Diego, San Diego, California.
Pediatric Imaging, Neurocognition and Genetics Study

Funding

Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089983 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 2009 to 2011
$14.3M
2/2 Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089924 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON · 2009 to 2011
$10.7M
Creating a Pediatric Imaging-Genomics Data ResourceRC2DA029475 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHANG, LINDA, DALE, ANDERS M · 2009 to 2011
$9.1M
Neural Basis of Emergent Math Difficulties in Healthy Preterm ChildrenR01HD075865 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AKSHOOMOFF, NATACHA · 2013 to 2017
$3.0M
Examination of Neurobehavioral Development Using the PING Data ResourceR01DA038958 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AKSHOOMOFF, NATACHA, BROWN, TIMOTHY TODD · 2014 to 2016
$830k
NICHD NIH HHS R01 HD075865NIDA NIH HHS R01 DA038958NIDA NIH HHS RC2 DA029475NIMH NIH HHS RC2 MH089924NIMH NIH HHS RC2 MH089983
6 · The paper itself

Abstract

Executive functions are a diverse and critical suite of cognitive abilities that are often disrupted in individuals with psychiatric disorders. Despite their moderate to high heritability, little is known about the molecular genetic factors that contribute to variability in executive functions and how these factors may be related to those that predispose to psychiatric disorders. We examined the relationship between polygenic risk scores built from large genome-wide association studies of psychiatric disorders and executive functioning in typically developing children. In our discovery sample (N = 417), consistent with previous reports on general cognitive abilities, polygenic risk for autism spectrum disorder was associated with better performance on the Dimensional Change Card Sort test from the NIH Cognition Toolbox, with the largest effect in the youngest children. Polygenic risk for major depressive disorder was associated with poorer performance on the Flanker test in the same sample. This second association replicated for performance on the Penn Conditional Exclusion Test in an independent cohort (N = 3681). Our results suggest that the molecular genetic factors contributing to variability in executive function during typical development are at least partially overlapping with those associated with psychiatric disorders, although larger studies and further replication are needed.

Indexed as

Child DevelopmentExecutive FunctionMultifactorial InheritanceAdolescentBrainChildChild, PreschoolFemaleHumansMajor Depressive DisorderMaleautismdepressiondevelopmentexecutive functionneuropsychologypolygenic risk scores

Identifiers

PMID29660215
PMCPMC6191376

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Registered trials

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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.