Cited by 57Cognitive Abilities and TestingGenetic Associations and EpidemiologySchizophrenia research and treatment

Genetic influence on cognitive development between childhood and adulthood

Open access
Mollon, Josephine, Knowles, Emma E. M., Mathias, Samuel R., Gur, Ruben, Peralta, Juan Manuel, Weiner, Daniel J., Robinson, Elise B., Gur, Raquel E. +3 more·2021·Molecular Psychiatry

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41380-018-0277-0

Cites

67 of 67 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Mollon et al. reported heritabilities for g of 0.61 (SE = 0.14) and 0.72 (SE = 0.07) for non-Hispanic African and European-Americans in this sample respectively.

    “Specifically, Mollon et al. [65] reported heritabilities for g of 0.61 (standard error (S.E.) = 0.14) and 0.72 (S.E.= 0.07) for the non-Hispanic African and European-Americans in this sample respectively.”

    From Global Ancestry and Cognitive Ability (2019) · cites this paper as [65]

    The Discussion reports a 72% heritability estimate for g, and the Methods (Participants) confirm that the study analyzed non-Hispanic African Americans and European Americans separately. The passages available from our copy do not state the claimed 0.61 estimate for African Americans or either standard error; the Results (Cognitive abilities are heritable) directs readers to Table 1 for the estimates without reproducing those numbers in the retrieved text. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 68 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. [34]Kent JW Jr, Goring HH, Charlesworth JC, Drigalenko E, Diego VP, Curran JE, Genotypexage interaction in human transcriptional ageing. Mech Ageing Dev. 2012; 133: 581– 90. 22871458 PMC3541784

Cited by

Sorted by citations

Authors
Mollon, J., Knowles, E. E. M., Mathias, S. R., Gur, R., Peralta, J. M., Weiner, D. J., Robinson, E. B., Gur, R. E., Blangero, J., Almasy, L., & Glahn, D. C.
Affiliations
  • Yale University (US)
  • University of Pennsylvania (US)
  • The University of Texas Rio Grande Valley (US)
  • Broad Institute (US)
Corresponding author
Mollon, Josephine
Venue
Molecular Psychiatry
Published
2018-10-19
Volume
26
Issue
2
Pages
656-665
ISSN
  • 1359-4184 (ISSN-L)
  • 1476-5578
OpenAlex
W2896149371
Cited by
57
References
68
Citations by year
2026: 8 · 2025: 10 · 2024: 10 · 2023: 12 · 2022: 5 · 2021: 6 · 2020: 3 · 2019: 2 · 2016: 1
FWCI
3.60
Type
journal article
Language
en
Open access
Locations
  • Molecular Psychiatry (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley) (submittedVersion)
Funders
U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (MH107248, MH107235)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
Keywords
cognitive development, heritability, cognitive maturation, general intelligence, genetic correlation, neurocognitive function, childhood, early adulthood, Philadelphia Neurodevelopmental Cohort
MeSH terms
Adolescent, Adult, Mental Disorders, Child, Cognition, Humans, Cohort Studies, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review