Evidence map›Paper›PMID 25514436›Full record

ArticlePloS one2014

Genetics of microstructure of the corpus callosum in older adults.

Sri C Kanchibhotla, Karen A Mather, Anbupalam Thalamuthu, Lin Zhuang, Peter R Schofield, John B J Kwok, David Ames, Margaret J Wright, Julian N Trollor, Wei Wen and 1 more

Open access · goldAbstract readTwin Study
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  6. Review
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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 5 institutions in 1 country.

Sri C KanchibhotlaCentre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia.
Karen A MatherCentre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia.
Anbupalam ThalamuthuCentre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia.
Lin ZhuangCentre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia.
Peter R SchofieldNeuroscience Research Australia, Sydney, Australia; School of Medical Science, University of New South Wales, Sydney, Australia.
John B J KwokNeuroscience Research Australia, Sydney, Australia; School of Medical Science, University of New South Wales, Sydney, Australia.
David AmesNational Ageing Research Institute, Royal Melbourne Hospital, Melbourne, Australia; Academic Unit for Psychiatry of Old Age, University of Melbourne, Melbourne, Australia.
Margaret J WrightQueensland Institute Medical Research, Berghofer Medical Research Institute, Brisbane, Australia.
Julian N TrollorCentre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia; Department Developmental Disability Neuropsychiatry, University of New South Wales, Sydney, Australia.
Wei WenCentre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia; Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, Australia.
Perminder S SachdevCentre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia; Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, Australia.
UNSW Sydney · AUNeuroscience Research Australia · AUPrince of Wales Hospital · AUQIMR Berghofer Medical Research Institute · AUThe Royal Melbourne Hospital · AU

Funding

Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
NIBIB NIH HHS U54 EB020403
6 · The paper itself

Abstract

The current study sought to examine the relative influence of genetic and environmental factors on corpus callosum (CC) microstructure in a community sample of older adult twins. Analyses were undertaken in 284 healthy older twins (66% female; 79 MZ and 63 DZ pairs) from the Older Australian Twins Study. The average age of the sample was 69.82 (SD = 4.76) years. Brain imaging scans were collected and DTI measures were estimated for the whole CC as well as its five subregions. Parcellation of the CC was performed using Analyze. In addition, white matter lesion (WMLs) burden was estimated. Heritability and genetic correlation analyses were undertaken using the SOLAR software package. Age, sex, scanner, handedness and blood pressure were considered as covariates. Heritability (h(2)) analysis for the DTI metrics of whole CC, indicated significant h(2) for fractional anisotropy (FA) (h(2) = 0.56; p = 2.89×10(-10)), mean diffusivity (MD) (h(2) = 0.52; p = 0.30×10(-6)), radial diffusivity (RD) (h(2) = 0.49; p = 0.2×10(-6)) and axial diffusivity (AD) (h(2) = 0.37; p = 8.15×10(-5)). We also performed bivariate genetic correlation analyses between (i) whole CC DTI measures and (ii) whole CC DTI measures with total brain WML burden. Across the DTI measures for the whole CC, MD and RD shared 84% of the common genetic variance, followed by MD-AD (77%), FA-RD (52%), RD-AD (37%) and FA-MD (11%). For total WMLs, significant genetic correlations indicated that there was 19% shared common genetic variance with whole CC MD, followed by CC RD (17%), CC AD (16%) and CC FA (5%). Our findings suggest that the CC microstructure is under moderate genetic control. There was also evidence of shared genetic factors between the CC DTI measures. In contrast, there was less shared genetic variance between WMLs and the CC DTI metrics, suggesting fewer common genetic variants.

Indexed as

AgedAge FactorsAnalysis of VarianceAnisotropyAustraliaCorpus CallosumFemaleHumansInheritance PatternsMagnetic Resonance ImagingMaleMorphogenesisNeuroimaging

Identifiers

PMID25514436
PMCPMC4267776
OpenAlexW2070834417

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.