Cargando…

Genetics of Microstructure of the Corpus Callosum in Older Adults

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 S...

Descripción completa

Detalles Bibliográficos
Autores principales: Kanchibhotla, Sri C., Mather, Karen A., Thalamuthu, Anbupalam, Zhuang, Lin, Schofield, Peter R., Kwok, John B. J., Ames, David, Wright, Margaret J., Trollor, Julian N., Wen, Wei, Sachdev, Perminder S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267776/
https://www.ncbi.nlm.nih.gov/pubmed/25514436
http://dx.doi.org/10.1371/journal.pone.0113181
_version_ 1782349193390587904
author Kanchibhotla, Sri C.
Mather, Karen A.
Thalamuthu, Anbupalam
Zhuang, Lin
Schofield, Peter R.
Kwok, John B. J.
Ames, David
Wright, Margaret J.
Trollor, Julian N.
Wen, Wei
Sachdev, Perminder S.
author_facet Kanchibhotla, Sri C.
Mather, Karen A.
Thalamuthu, Anbupalam
Zhuang, Lin
Schofield, Peter R.
Kwok, John B. J.
Ames, David
Wright, Margaret J.
Trollor, Julian N.
Wen, Wei
Sachdev, Perminder S.
author_sort Kanchibhotla, Sri C.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4267776
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-42677762014-12-26 Genetics of Microstructure of the Corpus Callosum in Older Adults Kanchibhotla, Sri C. Mather, Karen A. Thalamuthu, Anbupalam Zhuang, Lin Schofield, Peter R. Kwok, John B. J. Ames, David Wright, Margaret J. Trollor, Julian N. Wen, Wei Sachdev, Perminder S. PLoS One Research Article 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. Public Library of Science 2014-12-16 /pmc/articles/PMC4267776/ /pubmed/25514436 http://dx.doi.org/10.1371/journal.pone.0113181 Text en © 2014 Kanchibhotla et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kanchibhotla, Sri C.
Mather, Karen A.
Thalamuthu, Anbupalam
Zhuang, Lin
Schofield, Peter R.
Kwok, John B. J.
Ames, David
Wright, Margaret J.
Trollor, Julian N.
Wen, Wei
Sachdev, Perminder S.
Genetics of Microstructure of the Corpus Callosum in Older Adults
title Genetics of Microstructure of the Corpus Callosum in Older Adults
title_full Genetics of Microstructure of the Corpus Callosum in Older Adults
title_fullStr Genetics of Microstructure of the Corpus Callosum in Older Adults
title_full_unstemmed Genetics of Microstructure of the Corpus Callosum in Older Adults
title_short Genetics of Microstructure of the Corpus Callosum in Older Adults
title_sort genetics of microstructure of the corpus callosum in older adults
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267776/
https://www.ncbi.nlm.nih.gov/pubmed/25514436
http://dx.doi.org/10.1371/journal.pone.0113181
work_keys_str_mv AT kanchibhotlasric geneticsofmicrostructureofthecorpuscallosuminolderadults
AT matherkarena geneticsofmicrostructureofthecorpuscallosuminolderadults
AT thalamuthuanbupalam geneticsofmicrostructureofthecorpuscallosuminolderadults
AT zhuanglin geneticsofmicrostructureofthecorpuscallosuminolderadults
AT schofieldpeterr geneticsofmicrostructureofthecorpuscallosuminolderadults
AT kwokjohnbj geneticsofmicrostructureofthecorpuscallosuminolderadults
AT amesdavid geneticsofmicrostructureofthecorpuscallosuminolderadults
AT wrightmargaretj geneticsofmicrostructureofthecorpuscallosuminolderadults
AT trollorjuliann geneticsofmicrostructureofthecorpuscallosuminolderadults
AT wenwei geneticsofmicrostructureofthecorpuscallosuminolderadults
AT sachdevperminders geneticsofmicrostructureofthecorpuscallosuminolderadults