Abstract

We have previously identified a network of higher-order brain regions particularly vulnerable to the ageing process, schizophrenia and Alzheimer’s disease. However, it remains unknown what the genetic influences on this fragile brain network are, and whether it can be altered by the most common modifiable risk factors for dementia. Here, in ~40,000 UK Biobank participants, we first show significant genome-wide associations between this brain network and seven genetic clusters implicated in cardiovascular deaths, schizophrenia, Alzheimer’s and Parkinson’s disease, and with the two antigens of the XG blood group located in the pseudoautosomal region of the sex chromosomes. We further reveal that the most deleterious modifiable risk factors for this vulnerable brain network are diabetes, nitrogen dioxide – a proxy for traffic-related air pollution – and alcohol intake frequency. The extent of these associations was uncovered by examining these modifiable risk factors in a single model to assess the unique contribution of each on the vulnerable brain network, above and beyond the dominating effects of age and sex. These results provide a comprehensive picture of the role played by genetic and modifiable risk factors on these fragile parts of the brain.

A network of brain regions degenerates earlier in aging. Here the authors show that, this network is most vulnerable to diabetes, traffic-related pollution and alcohol consumption in terms of risk factors for dementia, and associated with the XG blood group genes.

Details

Title
The effects of genetic and modifiable risk factors on brain regions vulnerable to ageing and disease
Author
Manuello, Jordi 1   VIAFID ORCID Logo  ; Min, Joosung 2   VIAFID ORCID Logo  ; McCarthy, Paul 3 ; Alfaro-Almagro, Fidel 3 ; Lee, Soojin 4 ; Smith, Stephen 3 ; Elliott, Lloyd T. 2 ; Winkler, Anderson M. 5 ; Douaud, Gwenaëlle 3   VIAFID ORCID Logo 

 University of Oxford, FMRIB Centre, Wellcome Centre for Integrative Neuroimaging (WIN), Nuffield Department of Clinical Neurosciences, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948); University of Turin, FOCUS Lab, Department of Psychology, Turin, Italy (GRID:grid.7605.4) (ISNI:0000 0001 2336 6580) 
 Simon Fraser University, Department of Statistics and Actuarial Science, Burnaby, Canada (GRID:grid.61971.38) (ISNI:0000 0004 1936 7494) 
 University of Oxford, FMRIB Centre, Wellcome Centre for Integrative Neuroimaging (WIN), Nuffield Department of Clinical Neurosciences, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948) 
 University of Oxford, FMRIB Centre, Wellcome Centre for Integrative Neuroimaging (WIN), Nuffield Department of Clinical Neurosciences, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948); The University of British Columbia, Pacific Parkinson’s Research Centre, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
 National Institutes of Health, National Institutes of Mental Health, Bethesda, USA (GRID:grid.94365.3d) (ISNI:0000 0001 2297 5165); University of Texas Rio Grande Valley, Department of Human Genetics, Brownsville, USA (GRID:grid.449717.8) (ISNI:0000 0004 5374 269X) 
Pages
2576
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3003349735
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.