Genetic influences on brain and cognitive health and their interactions with cardiovascular conditions and depression.
Peter ZhukovskyEarvin S TioGillian CoughlanDavid A BennettYangling WangTimothy J HohmanDiego A PizzagalliBenoit H MulsantAristotle N VoineskosDaniel FelskyPublished in: Nature communications (2024)
Approximately 40% of dementia cases could be prevented or delayed by modifiable risk factors related to lifestyle and environment. These risk factors, such as depression and vascular disease, do not affect all individuals in the same way, likely due to inter-individual differences in genetics. However, the precise nature of how genetic risk profiles interact with modifiable risk factors to affect brain health is poorly understood. Here we combine multiple data resources, including genotyping and postmortem gene expression, to map the genetic landscape of brain structure and identify 367 loci associated with cortical thickness and 13 loci associated with white matter hyperintensities (P < 5×10 -8 ), with several loci also showing a significant association with cognitive function. We show that among 220 unique genetic loci associated with cortical thickness in our genome-wide association studies (GWAS), 95 also showed evidence of interaction with depression or cardiovascular conditions. Polygenic risk scores based on our GWAS of inferior frontal thickness also interacted with hypertension in predicting executive function in the Canadian Longitudinal Study on Aging. These findings advance our understanding of the genetic underpinning of brain structure and show that genetic risk for brain and cognitive health is in part moderated by treatable mid-life factors.
Keyphrases
- genome wide
- white matter
- genome wide association
- risk factors
- dna methylation
- resting state
- gene expression
- healthcare
- copy number
- public health
- functional connectivity
- genome wide association study
- depressive symptoms
- mental health
- multiple sclerosis
- health information
- sleep quality
- physical activity
- blood pressure
- optical coherence tomography
- cardiovascular disease
- risk assessment
- high throughput
- electronic health record
- machine learning
- health promotion
- cognitive impairment
- single cell
- subarachnoid hemorrhage
- deep learning
- genetic diversity
- case control