Frontiers in Aging Neuroscience (Apr 2022)
The Impact of Genes and Environment on Brain Ageing in Males Aged 51 to 72 Years
- Nathan A. Gillespie,
- Nathan A. Gillespie,
- Sean N. Hatton,
- Sean N. Hatton,
- Sean N. Hatton,
- Donald J. Hagler,
- Anders M. Dale,
- Anders M. Dale,
- Anders M. Dale,
- Jeremy A. Elman,
- Jeremy A. Elman,
- Linda K. McEvoy,
- Lisa T. Eyler,
- Lisa T. Eyler,
- Christine Fennema-Notestine,
- Christine Fennema-Notestine,
- Mark W. Logue,
- Mark W. Logue,
- Mark W. Logue,
- Ruth E. McKenzie,
- Ruth E. McKenzie,
- Olivia K. Puckett,
- Olivia K. Puckett,
- Xin M. Tu,
- Xin M. Tu,
- Nathan Whitsel,
- Nathan Whitsel,
- Hong Xian,
- Hong Xian,
- Chandra A. Reynolds,
- Matthew S. Panizzon,
- Matthew S. Panizzon,
- Michael J. Lyons,
- Michael C. Neale,
- Michael C. Neale,
- William S. Kremen,
- William S. Kremen,
- William S. Kremen,
- Carol Franz,
- Carol Franz
Affiliations
- Nathan A. Gillespie
- Virginia Institute for Psychiatric and Behaviour Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States
- Nathan A. Gillespie
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Sean N. Hatton
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
- Sean N. Hatton
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States
- Sean N. Hatton
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States
- Donald J. Hagler
- Department of Radiology, University of California, San Diego, La Jolla, CA, United States
- Anders M. Dale
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States
- Anders M. Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, United States
- Anders M. Dale
- Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA, United States
- Jeremy A. Elman
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
- Jeremy A. Elman
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States
- Linda K. McEvoy
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States
- Lisa T. Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
- Lisa T. Eyler
- 0Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, United States
- Christine Fennema-Notestine
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
- Christine Fennema-Notestine
- Department of Radiology, University of California, San Diego, La Jolla, CA, United States
- Mark W. Logue
- 1National Center for PTSD, VA Boston Healthcare System, Boston, MA, United States
- Mark W. Logue
- 2Department of Psychiatry and Biomedical Genetics Section, Boston University School of Medicine, Boston, MA, United States
- Mark W. Logue
- 3Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
- Ruth E. McKenzie
- 4Department of Psychology, Boston University, Boston, MA, United States
- Ruth E. McKenzie
- 5School of Education and Social Policy, Merrimack College, North Andover, MA, United States
- Olivia K. Puckett
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
- Olivia K. Puckett
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States
- Xin M. Tu
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States
- Xin M. Tu
- 6Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States
- Nathan Whitsel
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
- Nathan Whitsel
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States
- Hong Xian
- 7Department of Epidemiology and Biostatistics, Saint. Louis University, St. Louis, MO, United States
- Hong Xian
- 8Research Service, VA St. Louis Healthcare System, St. Louis, MO, United States
- Chandra A. Reynolds
- 9Department of Psychology, University of California, Riverside, Riverside, CA, United States
- Matthew S. Panizzon
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
- Matthew S. Panizzon
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States
- Michael J. Lyons
- 0Department of Psychological and Brain Sciences, Boston University, Boston, MA, United States
- Michael C. Neale
- Virginia Institute for Psychiatric and Behaviour Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States
- Michael C. Neale
- 1Department of Biological Psychology, Free University of Amsterdam, Amsterdam, Netherlands
- William S. Kremen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
- William S. Kremen
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States
- William S. Kremen
- 2Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA, United States
- Carol Franz
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
- Carol Franz
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States
- DOI
- https://doi.org/10.3389/fnagi.2022.831002
- Journal volume & issue
-
Vol. 14
Abstract
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.
Keywords
