The role of genomic-informed risk assessments in predicting dementia outcomes

基因组信息风险评估在预测痴呆症预后中的作用

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Abstract

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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