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GWAS Study

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

Zhukovsky P, Tio ES, Coughlan G et al.

38890310 PubMed ID
GWAS Study Type
34552 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

ZP
Zhukovsky P
TE
Tio ES
CG
Coughlan G
BD
Bennett DA
WY
Wang Y
HT
Hohman TJ
PD
Pizzagalli DA
MB
Mulsant BH
VA
Voineskos AN
FD
Felsky D
Chapter II

Abstract

Summary of the research findings

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.

34,552 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

34552
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.K.
Recruitment Country
Chapter IV

AI-Generated Summary

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