Evidence map›Paper›PMID 20950689›Full record

ArticleNeuroImage2011

Genetics of white matter development: a DTI study of 705 twins and their siblings aged 12 to 29.

Ming-Chang Chiang, Katie L McMahon, Greig I de Zubicaray, Nicholas G Martin, Ian Hickie, Arthur W Toga, Margaret J Wright, Paul M Thompson

Abstract readTwin Study
In one paragraph

Article in NeuroImage, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing 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

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

  1. Pooled it
  2. Pooled it
  3. Genetic and environmental influences on neuroimaging phenotypes: a meta-analytical perspective on twin imaging studies.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2012
    Pooled it
  4. Article
  5. Article
  6. Article
  7. Socioeconomic context influences the heritability of child cortical structure.medRxiv : the preprint server for health sciences · 2025
    Article
  8. Article
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  15. White matter and literacy: A dynamic system in flux.Developmental cognitive neuroscience · 2024
    Article
  16. Article
  17. TOPOLOGICAL LEARNING FOR BRAIN NETWORKS.The annals of applied statistics · 2023
    Article
  18. Article
  19. Article
  20. Genetic underpinnings of brain structural connectome for young adults.Journal of the American Statistical Association · 2023
    Article

81 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

8 authors.

Ming-Chang ChiangDepartment of Neurology, UCLA School of Medicine, Los Angeles, CA 90095-7332, USA.
Katie L McMahon
Greig I de Zubicaray
Nicholas G Martin
Ian Hickie
Arthur W Toga
Margaret J Wright
Paul M Thompson

Funding

UCLA ALZHEIMERS DISEASE RESEARCH CENTERP50AG016570 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BREDESEN, DALE E. · 1999 to 2014
$25.9M
Genetic influences on the brain: A twin imaging studyR01HD050735 · NICHD · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI WRIGHT, MARGARET JANE · 2007 to 2011
$2.6M
Novel PDEs for Cortical Mapping and Analysis in DiseaseR21RR019771 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2003 to 2004
$351k
NCRR NIH HHS R21 RR019771NCRR NIH HHS RR019771NIA NIH HHS AG016570NIA NIH HHS P50 AG016570NIBIB NIH HHS EB01651NICHD NIH HHS R01 HD050735
6 · The paper itself

Abstract

White matter microstructure is under strong genetic control, yet it is largely unknown how genetic influences change from childhood into adulthood. In one of the largest brain mapping studies ever performed, we determined whether the genetic control over white matter architecture depends on age, sex, socioeconomic status (SES), and intelligence quotient (IQ). We assessed white matter integrity voxelwise using diffusion tensor imaging at high magnetic field (4-Tesla), in 705 twins and their siblings (age range 12-29; 290 M/415 F). White matter integrity was quantified using a widely accepted measure, fractional anisotropy (FA). We fitted gene-environment interaction models pointwise, to visualize brain regions where age, sex, SES and IQ modulate heritability of fiber integrity. We hypothesized that environmental factors would start to outweigh genetic factors during late childhood and adolescence. Genetic influences were greater in adolescence versus adulthood, and greater in males than in females. Socioeconomic status significantly interacted with genes that affect fiber integrity: heritability was higher in those with higher SES. In people with above-average IQ, genetic factors explained over 80% of the observed FA variability in the thalamus, genu, posterior internal capsule, and superior corona radiata. In those with below-average IQ, however, only around 40% FA variability in the same regions was attributable to genetic factors. Genes affect fiber integrity, but their effects vary with age, sex, SES and IQ. Gene-environment interactions are vital to consider in the search for specific genetic polymorphisms that affect brain integrity and connectivity.

Indexed as

GeneticsAdolescentAdultAgingAlgorithmsAnisotropyBrainChildDiffusion Tensor ImagingEnvironmentFemaleGenetic LinkageHumansImage Processing, Computer-AssistedIntelligence TestsMale

Identifiers

PMID20950689
PMCPMC3197836

What OpenQuestion holds

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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.