The role of genomic-informed risk assessments in predicting dementia outcomes
Shea J Andrews1,2, Paulina Tolosa-Tort1, Caroline Jonson2,3,4
1Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California, USA.
Introduction:
By integrating genetic and clinical risk factors into genomic-informed dementia risk reports, healthcare providers can offer patients detailed risk profiles to facilitate understanding of individual risk and support the implementation of personalized strategies for promoting brain health.
Methods:
We constructed an additive score comprising the modified Cardiovascular Risk Factors, Aging, and Incidence of Dementia Risk Score (mCAIDE), family history of dementia, apolipoprotein E (APOE) genotype, and an Alzheimer's disease (AD) polygenic risk score in National Alzheimer's Coordinating Center (NACC) and Alzheimer's Disease Neuroimaging Iniative (ADNI), and assessed its association with progression to all-cause dementia.
Results:
A total of 81% of participants had at least one high-risk indicator for dementia, with each additional risk indicator linked to a 34% increase in the hazard of dementia onset.
Discussion:
We found that most participants in memory and aging clinics had at least one high-risk indicator for dementia. Furthermore, we observed a dose-response relationship where a greater number of risk indicators was associated with an increased risk of incident dementia.
Highlights:
Compiled genomic-informed dementia risk report of genetic and clinical risk factors. Most memory clinic patients have at least one high-risk indicator for dementia. A higher risk indicator burden is associated with a greater dementia risk.
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