Evidence map›Paper›PMID 24752552›Full record

ArticleBrain imaging and behavior2014

Heritable changes in regional cortical thickness with age.

Francois Chouinard-Decorte, D Reese McKay, Andrew Reid, Budhachandra Khundrakpam, Lu Zhao, Sherif Karama, Pierre Rioux, Emma Sprooten, Emma Knowles, Jack W Kent and 12 more

Abstract read
In one paragraph

Article in Brain imaging and behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Genetic contributions to brain criticality and its relationship with human cognitive functions.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Review
  8. Article
  9. Genomic Studies Across the Lifespan Point to Early Mechanisms Determining Subcortical Volumes.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2022
    Article
  10. Article
  11. Article
  12. Morphological integration of the human brain across adolescence and adulthood.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Article
  14. Article
  15. The BDNF ValBehavioural brain research · 2017
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

22 authors.

Francois Chouinard-DecorteMcConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, H3A 2B4, Canada.
D Reese McKay
Andrew Reid
Budhachandra Khundrakpam
Lu Zhao
Sherif Karama
Pierre Rioux
Emma Sprooten
Emma Knowles
Jack W Kent
Joanne E Curran
Harald H H Göring
Thomas D Dyer
Rene L Olvera
Peter Kochunov
Ravi Duggirala
Peter T Fox
Laura Almasy
John Blangero
Pierre Bellec
Alan C Evans
David C Glahn

Funding

Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Genetics of Brain Structure and FunctionR01MH078143 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2006 to 2014
$4.3M
Genetics of Brain Structure and Function: Genome-Wide AssociationR01MH083824 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2013
$3.3M
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
CIHR MOP 37754NIBIB NIH HHS R01 EB015611NIMH NIH HHS MH0708143NIMH NIH HHS MH078111NIMH NIH HHS MH083824NIMH NIH HHS MH59490NIMH NIH HHS R01 MH059490NIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH078143NIMH NIH HHS R01 MH083824NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

It is now well established that regional indices of brain structure such as cortical thickness, surface area or grey matter volume exhibit spatially variable patterns of heritability. However, a recent study found these patterns to change with age during development, a result supported by gene expression studies. Changes in heritability have not been investigated in adulthood so far and could have important implications in the study of heritability and genetic correlations in the brain as well as in the discovery of specific genes explaining them. Herein, we tested for genotype by age (G ×A) interactions, an extension of genotype by environment interactions, through adulthood and healthy aging in 902 subjects from the Genetics of Brain Structure (GOBS) study. A "jackknife" based method for the analysis of stable cortical thickness clusters (JASC) and scale selection is also introduced. Although additive genetic variance remained constant throughout adulthood, we found evidence for incomplete pleiotropy across age in the cortical thickness of paralimbic and parieto-temporal areas. This suggests that different genetic factors account for cortical thickness heritability at different ages in these regions.

Indexed as

AdolescentAdultAgedAgingCerebral CortexFamilyFemaleGenetic PleiotropyHispanic or LatinoHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedOrgan SizePhenotype

Identifiers

PMID24752552
PMCPMC4205107

What OpenQuestion holds

Textmetadata
LicenceTDM
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.