Evidence map›Paper›PMID 30644433›Full record

ArticleMolecular psychiatry2021

Genetic influence on cognitive development between childhood and adulthood.

Josephine Mollon, Emma E M Knowles, Samuel R Mathias, Ruben Gur, Juan Manuel Peralta, Daniel J Weiner, Elise B Robinson, Raquel E Gur, John Blangero, Laura Almasy and 1 more

Abstract read
In one paragraph

Article in Molecular psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Genetic Foundations of Inter-individual Neurophysiological Variability.bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. TheToxics · 2024
    Article
  13. Article
  14. Dissociation of Reliability, Heritability, and Predictivity in Coarse- and Fine-Scale Functional Connectomes during Development.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Computerized Cognitive Test Batteries for Children and Adolescents-A Scoping Review of Tools For Lab- and Web-Based Settings From 2000 to 2021.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2023
    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

11 authors.

Josephine MollonDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA. josephine.mollon@yale.edu.
Emma E M KnowlesDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-0642-267X
Samuel R MathiasDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Ruben GurDepartment of Psychiatry, Perelman School of Medicine, and the Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, USA.
Juan Manuel PeraltaSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas of the Rio Grande Valley, Brownsville, TX, USA.
Daniel J WeinerAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Elise B RobinsonAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Raquel E GurDepartment of Psychiatry, Perelman School of Medicine, and the Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, USA.
John BlangeroSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas of the Rio Grande Valley, Brownsville, TX, USA.
Laura AlmasyDepartment of Genetics, Perelman School of Medicine, and the Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, USA.
David C GlahnDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-4749-6977

Funding

SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Multimodal brain maturation indices modulating psychopathology and neurocognitionR01MH107235 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RUBEN C. · 2015 to 2017
$1.5M
Neurodevelopment: Genes, Environment, and their InteractionsR01MH107248 · NIMH · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI ALMASY, LAURA A., BLANGERO, JOHN · 2015 to 2017
$1.3M
NIBIB NIH HHS R01 EB015611NIMH NIH HHS R01 MH107235NIMH NIH HHS R01 MH107248
6 · The paper itself

Abstract

Successful cognitive development between childhood and adulthood has important consequences for future mental and physical wellbeing, as well as occupational and financial success. Therefore, delineating the genetic influences underlying changes in cognitive abilities during this developmental period will provide important insights into the biological mechanisms that govern both typical and atypical maturation. Using data from the Philadelphia Neurodevelopmental Cohort (PNC), a large population-based sample of individuals aged 8 to 21 years old (n = 6634), we used an empirical relatedness matrix to establish the heritability of general and specific cognitive functions and determine if genetic factors influence cognitive maturation (i.e., Gene × Age interactions) between childhood and early adulthood. We found that neurocognitive measures across childhood and early adulthood were significantly heritable. Moreover, genetic variance on general cognitive ability, or g, increased significantly between childhood and early adulthood. Finally, we did not find evidence for decay in genetic correlation on neurocognition throughout childhood and adulthood, suggesting that the same genetic factors underlie cognition at different ages throughout this developmental period. Establishing significant Gene × Age interactions in neurocognitive functions across childhood and early adulthood is a necessary first step in identifying genes that influence cognitive development, rather than genes that influence cognition per se. Moreover, since aberrant cognitive development confers risk for several psychiatric disorders, further examination of these Gene × Age interactions may provide important insights into their etiology.

Indexed as

CognitionMental DisordersAdolescentAdultChildCohort StudiesHumansYoung Adult

Identifiers

PMID30644433
PMCPMC6570578

What OpenQuestion holds

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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.