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Twins methods quantitatively explore the genetic impact on children and adolescents brain gray matter volume

The gray matter volumes of 58 pairs of twins ranging in age from 12 to 18 were measured by MRI to explore the genetic and environmental impacts on gray matter volume in twin children and adolescents. By means of A/C/E structural equation modeling, it was found that the gray matter volume in children...

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Autores principales: Chen, Xiao-Lu, Zhang, Xiao-Wei, Hou, Xiao, Li, Xiao, Ma, Xing-Shun, Hu, Xiao-Mei, Meng, Hua-Qing, He, Qian, Zhao, Lian-Sheng, Wang, Ying-Cheng, Fu, Yi-Xiao, Li, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5509710/
https://www.ncbi.nlm.nih.gov/pubmed/28706186
http://dx.doi.org/10.1038/s41598-017-03962-9
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author Chen, Xiao-Lu
Zhang, Xiao-Wei
Hou, Xiao
Li, Xiao
Ma, Xing-Shun
Hu, Xiao-Mei
Meng, Hua-Qing
He, Qian
Zhao, Lian-Sheng
Wang, Ying-Cheng
Fu, Yi-Xiao
Li, Tao
author_facet Chen, Xiao-Lu
Zhang, Xiao-Wei
Hou, Xiao
Li, Xiao
Ma, Xing-Shun
Hu, Xiao-Mei
Meng, Hua-Qing
He, Qian
Zhao, Lian-Sheng
Wang, Ying-Cheng
Fu, Yi-Xiao
Li, Tao
author_sort Chen, Xiao-Lu
collection PubMed
description The gray matter volumes of 58 pairs of twins ranging in age from 12 to 18 were measured by MRI to explore the genetic and environmental impacts on gray matter volume in twin children and adolescents. By means of A/C/E structural equation modeling, it was found that the gray matter volume in children and adolescents was jointly affected by genetic (A: 0.89) and environmental factors while genetic factors play a greater role. The gray matter volume in frontal lobe, parietal lobe, occipital lobe and lateral temporal lobe was mainly affected by genetics (A: 0.7–0.89), where as the gray matter volume in medial temporal lobe and cingulate cortex was affected by both genetics and environment.
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spelling pubmed-55097102017-07-17 Twins methods quantitatively explore the genetic impact on children and adolescents brain gray matter volume Chen, Xiao-Lu Zhang, Xiao-Wei Hou, Xiao Li, Xiao Ma, Xing-Shun Hu, Xiao-Mei Meng, Hua-Qing He, Qian Zhao, Lian-Sheng Wang, Ying-Cheng Fu, Yi-Xiao Li, Tao Sci Rep Article The gray matter volumes of 58 pairs of twins ranging in age from 12 to 18 were measured by MRI to explore the genetic and environmental impacts on gray matter volume in twin children and adolescents. By means of A/C/E structural equation modeling, it was found that the gray matter volume in children and adolescents was jointly affected by genetic (A: 0.89) and environmental factors while genetic factors play a greater role. The gray matter volume in frontal lobe, parietal lobe, occipital lobe and lateral temporal lobe was mainly affected by genetics (A: 0.7–0.89), where as the gray matter volume in medial temporal lobe and cingulate cortex was affected by both genetics and environment. Nature Publishing Group UK 2017-07-13 /pmc/articles/PMC5509710/ /pubmed/28706186 http://dx.doi.org/10.1038/s41598-017-03962-9 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chen, Xiao-Lu
Zhang, Xiao-Wei
Hou, Xiao
Li, Xiao
Ma, Xing-Shun
Hu, Xiao-Mei
Meng, Hua-Qing
He, Qian
Zhao, Lian-Sheng
Wang, Ying-Cheng
Fu, Yi-Xiao
Li, Tao
Twins methods quantitatively explore the genetic impact on children and adolescents brain gray matter volume
title Twins methods quantitatively explore the genetic impact on children and adolescents brain gray matter volume
title_full Twins methods quantitatively explore the genetic impact on children and adolescents brain gray matter volume
title_fullStr Twins methods quantitatively explore the genetic impact on children and adolescents brain gray matter volume
title_full_unstemmed Twins methods quantitatively explore the genetic impact on children and adolescents brain gray matter volume
title_short Twins methods quantitatively explore the genetic impact on children and adolescents brain gray matter volume
title_sort twins methods quantitatively explore the genetic impact on children and adolescents brain gray matter volume
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5509710/
https://www.ncbi.nlm.nih.gov/pubmed/28706186
http://dx.doi.org/10.1038/s41598-017-03962-9
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