Evidence map›Paper›PMID 22723713›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2012

Gene network effects on brain microstructure and intellectual performance identified in 472 twins.

Ming-Chang Chiang, Marina Barysheva, Katie L McMahon, Greig I de Zubicaray, Kori Johnson, Grant W Montgomery, Nicholas G Martin, Arthur W Toga, Margaret J Wright, Paul Shapshak and 1 more

Open access · greenAbstract readTwin Study
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
7.2field-weighted citation impact, top 3% of its field
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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Brain Imaging Genomics: Integrated Analysis and Machine Learning.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2020
    Article
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  9. Review
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  11. Common and heritable components of white matter microstructure predict cognitive function at 1 and 2 y.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  12. Article
  13. Article
  14. Heritability of the limbic networks.Social cognitive and affective neuroscience · 2016
    Article
  15. Article
  16. Article
  17. Cracking the brain's genetic code.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  18. Article
  19. Genetics and brain morphology.Neuropsychology review · 2015
    Article
  20. 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 at 1 institution in 1 country.

Ming-Chang ChiangDepartment of Biomedical Engineering, National Yang-Ming University, Taipei, 112, Taiwan.
Marina Barysheva
Katie L McMahon
Greig I de Zubicaray
Kori Johnson
Grant W Montgomery
Nicholas G Martin
Arthur W Toga
Margaret J Wright
Paul Shapshak
Paul M Thompson
National Yang Ming Chiao Tung University · TW

Funding

UCLA ALZHEIMERS DISEASE RESEARCH CENTERP50AG016570 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BREDESEN, DALE E. · 1999 to 2014
$25.9M
HARDI Mapping of Disease Effects on the BrainR01EB008432 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2009 to 2012
$2.6M
Genetic influences on the brain: A twin imaging studyR01HD050735 · NICHD · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI WRIGHT, MARGARET JANE · 2007 to 2011
$2.6M
Alzheimer's disease risk analyzed using population imaging genomicsR01AG040060 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2011 to 2016
$2.5M
Algorithms to Map Disease &Genetic Effects on the BrainR21EB001561 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2003 to 2005
$454k
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 AG016570NIA NIH HHS R01 AG040060NIBIB NIH HHS EB01651NIBIB NIH HHS R01 EB008432NIBIB NIH HHS R21 EB001561NICHD NIH HHS R01 HD050735
6 · The paper itself

Abstract

A major challenge in neuroscience is finding which genes affect brain integrity, connectivity, and intellectual function. Discovering influential genes holds vast promise for neuroscience, but typical genome-wide searches assess approximately one million genetic variants one-by-one, leading to intractable false positive rates, even with vast samples of subjects. Even more intractable is the question of which genes interact and how they work together to affect brain connectivity. Here, we report a novel approach that discovers which genes contribute to brain wiring and fiber integrity at all pairs of points in a brain scan. We studied genetic correlations between thousands of points in human brain images from 472 twins and their nontwin siblings (mean age: 23.7 ± 2.1 SD years; 193 male/279 female). We combined clustering with genome-wide scanning to find brain systems with common genetic determination. We then filtered the image in a new way to boost power to find causal genes. Using network analysis, we found a network of genes that affect brain wiring in healthy young adults. Our new strategy makes it computationally more tractable to discover genes that affect brain integrity. The gene network showed small-world and scale-free topologies, suggesting efficiency in genetic interactions and resilience to network disruption. Genetic variants at hubs of the network influence intellectual performance by modulating associations between performance intelligence quotient and the integrity of major white matter tracts, such as the callosal genu and splenium, cingulum, optic radiations, and the superior longitudinal fasciculus.

Indexed as

AdultAlgorithmsAnisotropyBrainChromosomes, HumanDiffusion Tensor ImagingFemaleGene Regulatory NetworksGenome-Wide Association StudyGenotypeHumansImage Processing, Computer-AssistedIntelligenceIntelligence TestsLinkage DisequilibriumMale

Identifiers

PMID22723713
PMCPMC3420968
OpenAlexW2166624088

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.