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Heritability of the shape of subcortical brain structures in the general population
The volumes of subcortical brain structures are highly heritable, but genetic underpinnings of their shape remain relatively obscure. Here we determine the relative contribution of genetic factors to individual variation in the shape of seven bilateral subcortical structures: the nucleus accumbens,...
| Autores principales: | , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172387/ https://www.ncbi.nlm.nih.gov/pubmed/27976715 http://dx.doi.org/10.1038/ncomms13738 |
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| author | Roshchupkin, Gennady V. Gutman, Boris A. Vernooij, Meike W. Jahanshad, Neda Martin, Nicholas G. Hofman, Albert McMahon, Katie L. van der Lee, Sven J. van Duijn, Cornelia M. de Zubicaray, Greig I. Uitterlinden, André G. Wright, Margaret J. Niessen, Wiro J. Thompson, Paul M. Ikram, M. Arfan Adams, Hieab H. H. |
| author_facet | Roshchupkin, Gennady V. Gutman, Boris A. Vernooij, Meike W. Jahanshad, Neda Martin, Nicholas G. Hofman, Albert McMahon, Katie L. van der Lee, Sven J. van Duijn, Cornelia M. de Zubicaray, Greig I. Uitterlinden, André G. Wright, Margaret J. Niessen, Wiro J. Thompson, Paul M. Ikram, M. Arfan Adams, Hieab H. H. |
| author_sort | Roshchupkin, Gennady V. |
| collection | PubMed |
| description | The volumes of subcortical brain structures are highly heritable, but genetic underpinnings of their shape remain relatively obscure. Here we determine the relative contribution of genetic factors to individual variation in the shape of seven bilateral subcortical structures: the nucleus accumbens, amygdala, caudate, hippocampus, pallidum, putamen and thalamus. In 3,686 unrelated individuals aged between 45 and 98 years, brain magnetic resonance imaging and genotyping was performed. The maximal heritability of shape varies from 32.7 to 53.3% across the subcortical structures. Genetic contributions to shape extend beyond influences on intracranial volume and the gross volume of the respective structure. The regional variance in heritability was related to the reliability of the measurements, but could not be accounted for by technical factors only. These findings could be replicated in an independent sample of 1,040 twins. Differences in genetic contributions within a single region reveal the value of refined brain maps to appreciate the genetic complexity of brain structures. |
| format | Online Article Text |
| id | pubmed-5172387 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2016 |
| publisher | Nature Publishing Group |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-51723872016-12-23 Heritability of the shape of subcortical brain structures in the general population Roshchupkin, Gennady V. Gutman, Boris A. Vernooij, Meike W. Jahanshad, Neda Martin, Nicholas G. Hofman, Albert McMahon, Katie L. van der Lee, Sven J. van Duijn, Cornelia M. de Zubicaray, Greig I. Uitterlinden, André G. Wright, Margaret J. Niessen, Wiro J. Thompson, Paul M. Ikram, M. Arfan Adams, Hieab H. H. Nat Commun Article The volumes of subcortical brain structures are highly heritable, but genetic underpinnings of their shape remain relatively obscure. Here we determine the relative contribution of genetic factors to individual variation in the shape of seven bilateral subcortical structures: the nucleus accumbens, amygdala, caudate, hippocampus, pallidum, putamen and thalamus. In 3,686 unrelated individuals aged between 45 and 98 years, brain magnetic resonance imaging and genotyping was performed. The maximal heritability of shape varies from 32.7 to 53.3% across the subcortical structures. Genetic contributions to shape extend beyond influences on intracranial volume and the gross volume of the respective structure. The regional variance in heritability was related to the reliability of the measurements, but could not be accounted for by technical factors only. These findings could be replicated in an independent sample of 1,040 twins. Differences in genetic contributions within a single region reveal the value of refined brain maps to appreciate the genetic complexity of brain structures. Nature Publishing Group 2016-12-15 /pmc/articles/PMC5172387/ /pubmed/27976715 http://dx.doi.org/10.1038/ncomms13738 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| spellingShingle | Article Roshchupkin, Gennady V. Gutman, Boris A. Vernooij, Meike W. Jahanshad, Neda Martin, Nicholas G. Hofman, Albert McMahon, Katie L. van der Lee, Sven J. van Duijn, Cornelia M. de Zubicaray, Greig I. Uitterlinden, André G. Wright, Margaret J. Niessen, Wiro J. Thompson, Paul M. Ikram, M. Arfan Adams, Hieab H. H. Heritability of the shape of subcortical brain structures in the general population |
| title | Heritability of the shape of subcortical brain structures in the general population |
| title_full | Heritability of the shape of subcortical brain structures in the general population |
| title_fullStr | Heritability of the shape of subcortical brain structures in the general population |
| title_full_unstemmed | Heritability of the shape of subcortical brain structures in the general population |
| title_short | Heritability of the shape of subcortical brain structures in the general population |
| title_sort | heritability of the shape of subcortical brain structures in the general population |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172387/ https://www.ncbi.nlm.nih.gov/pubmed/27976715 http://dx.doi.org/10.1038/ncomms13738 |
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