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The Impact of Genes and Environment on Brain Ageing in Males Aged 51 to 72 Years
Magnetic resonance imaging data are being used in statistical models to predicted brain ageing (PBA) and as biomarkers for neurodegenerative diseases such as Alzheimer’s Disease. Despite their increasing application, the genetic and environmental etiology of global PBA indices is unknown. Likewise,...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051484/ https://www.ncbi.nlm.nih.gov/pubmed/35493948 http://dx.doi.org/10.3389/fnagi.2022.831002 |
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author | Gillespie, Nathan A. Hatton, Sean N. Hagler, Donald J. Dale, Anders M. Elman, Jeremy A. McEvoy, Linda K. Eyler, Lisa T. Fennema-Notestine, Christine Logue, Mark W. McKenzie, Ruth E. Puckett, Olivia K. Tu, Xin M. Whitsel, Nathan Xian, Hong Reynolds, Chandra A. Panizzon, Matthew S. Lyons, Michael J. Neale, Michael C. Kremen, William S. Franz, Carol |
author_facet | Gillespie, Nathan A. Hatton, Sean N. Hagler, Donald J. Dale, Anders M. Elman, Jeremy A. McEvoy, Linda K. Eyler, Lisa T. Fennema-Notestine, Christine Logue, Mark W. McKenzie, Ruth E. Puckett, Olivia K. Tu, Xin M. Whitsel, Nathan Xian, Hong Reynolds, Chandra A. Panizzon, Matthew S. Lyons, Michael J. Neale, Michael C. Kremen, William S. Franz, Carol |
author_sort | Gillespie, Nathan A. |
collection | PubMed |
description | Magnetic resonance imaging data are being used in statistical models to predicted brain ageing (PBA) and as biomarkers for neurodegenerative diseases such as Alzheimer’s Disease. Despite their increasing application, the genetic and environmental etiology of global PBA indices is unknown. Likewise, the degree to which genetic influences in PBA are longitudinally stable and how PBA changes over time are also unknown. We analyzed data from 734 men from the Vietnam Era Twin Study of Aging with repeated MRI assessments between the ages 51–72 years. Biometrical genetic analyses “twin models” revealed significant and highly correlated estimates of additive genetic heritability ranging from 59 to 75%. Multivariate longitudinal modeling revealed that covariation between PBA at different timepoints could be explained by a single latent factor with 73% heritability. Our results suggest that genetic influences on PBA are detectable in midlife or earlier, are longitudinally very stable, and are largely explained by common genetic influences. |
format | Online Article Text |
id | pubmed-9051484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90514842022-04-30 The Impact of Genes and Environment on Brain Ageing in Males Aged 51 to 72 Years Gillespie, Nathan A. Hatton, Sean N. Hagler, Donald J. Dale, Anders M. Elman, Jeremy A. McEvoy, Linda K. Eyler, Lisa T. Fennema-Notestine, Christine Logue, Mark W. McKenzie, Ruth E. Puckett, Olivia K. Tu, Xin M. Whitsel, Nathan Xian, Hong Reynolds, Chandra A. Panizzon, Matthew S. Lyons, Michael J. Neale, Michael C. Kremen, William S. Franz, Carol Front Aging Neurosci Neuroscience Magnetic resonance imaging data are being used in statistical models to predicted brain ageing (PBA) and as biomarkers for neurodegenerative diseases such as Alzheimer’s Disease. Despite their increasing application, the genetic and environmental etiology of global PBA indices is unknown. Likewise, the degree to which genetic influences in PBA are longitudinally stable and how PBA changes over time are also unknown. We analyzed data from 734 men from the Vietnam Era Twin Study of Aging with repeated MRI assessments between the ages 51–72 years. Biometrical genetic analyses “twin models” revealed significant and highly correlated estimates of additive genetic heritability ranging from 59 to 75%. Multivariate longitudinal modeling revealed that covariation between PBA at different timepoints could be explained by a single latent factor with 73% heritability. Our results suggest that genetic influences on PBA are detectable in midlife or earlier, are longitudinally very stable, and are largely explained by common genetic influences. Frontiers Media S.A. 2022-04-15 /pmc/articles/PMC9051484/ /pubmed/35493948 http://dx.doi.org/10.3389/fnagi.2022.831002 Text en Copyright © 2022 Gillespie, Hatton, Hagler, Dale, Elman, McEvoy, Eyler, Fennema-Notestine, Logue, McKenzie, Puckett, Tu, Whitsel, Xian, Reynolds, Panizzon, Lyons, Neale, Kremen and Franz. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Gillespie, Nathan A. Hatton, Sean N. Hagler, Donald J. Dale, Anders M. Elman, Jeremy A. McEvoy, Linda K. Eyler, Lisa T. Fennema-Notestine, Christine Logue, Mark W. McKenzie, Ruth E. Puckett, Olivia K. Tu, Xin M. Whitsel, Nathan Xian, Hong Reynolds, Chandra A. Panizzon, Matthew S. Lyons, Michael J. Neale, Michael C. Kremen, William S. Franz, Carol The Impact of Genes and Environment on Brain Ageing in Males Aged 51 to 72 Years |
title | The Impact of Genes and Environment on Brain Ageing in Males Aged 51 to 72 Years |
title_full | The Impact of Genes and Environment on Brain Ageing in Males Aged 51 to 72 Years |
title_fullStr | The Impact of Genes and Environment on Brain Ageing in Males Aged 51 to 72 Years |
title_full_unstemmed | The Impact of Genes and Environment on Brain Ageing in Males Aged 51 to 72 Years |
title_short | The Impact of Genes and Environment on Brain Ageing in Males Aged 51 to 72 Years |
title_sort | impact of genes and environment on brain ageing in males aged 51 to 72 years |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051484/ https://www.ncbi.nlm.nih.gov/pubmed/35493948 http://dx.doi.org/10.3389/fnagi.2022.831002 |
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