Genetic influences on brain and cognitive health and their interactions with cardiovascular conditions and depression

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. Howev...

Full description

Saved in:
Bibliographic Details
Published in:Nature communications 2024-06, Vol.15 (1), p.5207-11, Article 5207
Main Authors: Zhukovsky, Peter, Tio, Earvin S., Coughlan, Gillian, Bennett, David A., Wang, Yanling, Hohman, Timothy J., Pizzagalli, Diego A., Mulsant, Benoit H., Voineskos, Aristotle N., Felsky, Daniel
Format: Article
Language:English
Subjects:
38/91
45
45/43
59/57
631/208/199
631/208/205
692/617/375/132
Aged
Aged, 80 and over
Brain
Brain - diagnostic imaging
Brain - pathology
Cardiovascular diseases
Cardiovascular Diseases - genetics
Cognition - physiology
Cognitive ability
Dementia disorders
Depression - genetics
Executive function
Female
Gene expression
Gene loci
Genetic Predisposition to Disease
Genetics
Genome-wide association studies
Genome-Wide Association Study
Genotyping
Humanities and Social Sciences
Humans
Hypertension
Longitudinal Studies
Male
Medical imaging
Middle Aged
multidisciplinary
Multifactorial Inheritance
Neuroimaging
Polymorphism, Single Nucleotide
Risk assessment
Risk Factors
Science
Science (multidisciplinary)
Substantia alba
Thickness
Vascular diseases
White Matter - diagnostic imaging
White Matter - pathology
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-024-49430-7