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Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025

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

СтатьяПоддержка NIH: внешняя программаНазвание и аннотация: Перевод пока не подготовлен
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Andrews Shea J, Tolosa-Tort Paulina, Jonson Caroline, Fulton-Howard Brian, Renton Alan E, Yokoyama Jennifer S, Yaffe Kristine, Alzheimer's Disease Neuroimaging Initiative

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты