Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer's disease

We evaluated the utility of leucocyte epigenomic-biomarkers for Alzheimer's Disease (AD) detection and elucidates its molecular pathogeneses. Genome-wide DNA methylation analysis was performed using the Infinium MethylationEPIC BeadChip array in 24 late-onset AD (LOAD) and 24 cognitively health...

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Bibliographic Details
Published in:PloS one 2021-03, Vol.16 (3), p.e0248375-e0248375
Main Authors: Bahado-Singh, Ray O, Vishweswaraiah, Sangeetha, Aydas, Buket, Yilmaz, Ali, Metpally, Raghu P, Carey, David J, Crist, Richard C, Berrettini, Wade H, Wilson, George D, Imam, Khalid, Maddens, Michael, Bisgin, Halil, Graham, Stewart F, Radhakrishna, Uppala
Format: Article
Language:English
Subjects:
Age
Alzheimer's disease
Artificial intelligence
Auroral kilometric radiation
Biology and life sciences
Computer and Information Sciences
Computer programs
Data analysis
Dementia disorders
Diagnosis
DNA methylation
Drafting software
Editing
Funding
Genetic aspects
Genomics
Gynecology
Health aspects
Leukocytes
Lymphocytes
Lymphocytes B
Lymphocytes T
Macrophages
Medicine
Medicine and Health Sciences
Methodology
Methods
Monocytes
Multilayers
Neural networks
Neurodegenerative diseases
Obstetrics
Peripheral blood
Physical Sciences
Physiological aspects
Psychiatry
Radiation
Regression analysis
Research and Analysis Methods
Software
Statistical analysis
Statistical models
Visualization
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Description
Summary:We evaluated the utility of leucocyte epigenomic-biomarkers for Alzheimer's Disease (AD) detection and elucidates its molecular pathogeneses. Genome-wide DNA methylation analysis was performed using the Infinium MethylationEPIC BeadChip array in 24 late-onset AD (LOAD) and 24 cognitively healthy subjects. Data were analyzed using six Artificial Intelligence (AI) methodologies including Deep Learning (DL) followed by Ingenuity Pathway Analysis (IPA) was used for AD prediction. We identified 152 significantly (FDR p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0248375