ArticlePloS one2014
Genetics of microstructure of the corpus callosum in older adults.
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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Handedness in twins: meta-analyses.BMC psychology · 2022Pooled it
- Genetic and environmental influence on white matter: insight from an Italian twin population study.Frontiers in human neuroscience · 2026Article
- Functional cortical associations and their intraclass correlations and heritability as revealed by the fMRI Human Connectome Project.Experimental brain research · 2022Article
- Genome-Wide Association Analysis of Neonatal White Matter Microstructure.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Tract Specificity of Age Effects on Diffusion Tensor Imaging Measures of White Matter Health.Frontiers in aging neuroscience · 2021Article
- Functional Integration Between the Two Brain Hemispheres: Evidence From the Homotopic Functional Connectivity Under Resting State.Frontiers in neuroscience · 2020Review
- Predominantly global genetic influences on individual white matter tract microstructure.NeuroImage · 2019Article
- Genetic relatedness of axial and radial diffusivity indices of cerebral white matter microstructure in late middle age.Human brain mapping · 2018Article
- Heritability of white matter microstructure in late middle age: A twin study of tract-based fractional anisotropy and absolute diffusivity indices.Human brain mapping · 2017Article
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
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.
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