Twins methods quantitatively explore the genetic impact on children and adolescents brain gray matter volume
Abstract 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...
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Nature Portfolio
2017
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oai:doaj.org-article:3853b13f80624f048826b26b44dbdd0f2021-12-02T11:41:12ZTwins methods quantitatively explore the genetic impact on children and adolescents brain gray matter volume10.1038/s41598-017-03962-92045-2322https://doaj.org/article/3853b13f80624f048826b26b44dbdd0f2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03962-9https://doaj.org/toc/2045-2322Abstract 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.Xiao-Lu ChenXiao-Wei ZhangXiao HouXiao LiXing-Shun MaXiao-Mei HuHua-Qing MengQian HeLian-Sheng ZhaoYing-Cheng WangYi-Xiao FuTao LiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-5 (2017) |
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Medicine R Science Q Xiao-Lu Chen Xiao-Wei Zhang Xiao Hou Xiao Li Xing-Shun Ma Xiao-Mei Hu Hua-Qing Meng Qian He Lian-Sheng Zhao Ying-Cheng Wang Yi-Xiao Fu Tao Li Twins methods quantitatively explore the genetic impact on children and adolescents brain gray matter volume |
description |
Abstract 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. |
format |
article |
author |
Xiao-Lu Chen Xiao-Wei Zhang Xiao Hou Xiao Li Xing-Shun Ma Xiao-Mei Hu Hua-Qing Meng Qian He Lian-Sheng Zhao Ying-Cheng Wang Yi-Xiao Fu Tao Li |
author_facet |
Xiao-Lu Chen Xiao-Wei Zhang Xiao Hou Xiao Li Xing-Shun Ma Xiao-Mei Hu Hua-Qing Meng Qian He Lian-Sheng Zhao Ying-Cheng Wang Yi-Xiao Fu Tao Li |
author_sort |
Xiao-Lu Chen |
title |
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_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_sort |
twins methods quantitatively explore the genetic impact on children and adolescents brain gray matter volume |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/3853b13f80624f048826b26b44dbdd0f |
work_keys_str_mv |
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