| Fecha: |
2024 |
| Resumen: |
The established link between DNA methylation and pathophysiology of dementia, along with its potential role as a molecular mediator of lifestyle and environmental influences, positions blood-derived DNA methylation as a promising tool for early dementia risk detection. In conjunction with an extensive array of machine learning techniques, we employed whole blood genome-wide DNA methylation data as a surrogate for 14 modifiable and non-modifiable factors in the assessment of dementia risk in independent dementia cohorts. We established a multivariate methylation risk score (MMRS) for identifying mild cognitive impairment cross-sectionally, independent of age and sex (P = 2. 0 × 10). This score significantly predicted the prospective development of cognitive impairments in independent studies of Alzheimer's disease (hazard ratio for Rey's Auditory Verbal Learning Test (RAVLT)-Learning = 2. 47) and Parkinson's disease (hazard ratio for MCI/dementia= 2. 59). Our work shows the potential of employing blood-derived DNA methylation data in the assessment of dementia risk. Highlights: We used whole blood DNA methylation as a surrogate for 14 dementia risk factors. Created a multivariate methylation risk score for predicting cognitive impairment. Emphasized the role of machine learning and omics data in predicting dementia. The score predicts cognitive impairment development at the population level. |
| Derechos: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.  |
| Lengua: |
Anglès |
| Documento: |
Article ; recerca ; Versió publicada |
| Materia: |
Alzheimer's disease ;
DNA methylation ;
Parkinson's disease ;
Aging ;
Dementia ;
Epigenetics ;
Machine learning ;
Mild cognitive impairments ;
Risk prediction |
| Publicado en: |
Alzheimer's & dementia, Vol. 20 Núm. 10 (october 2024) , p. 6682-6698, ISSN 1552-5279 |