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 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
Bahado-Singh RO, Vishweswaraiah S, Aydas B, Yilmaz A, Metpally RP, Carey DJ, Crist RC, Berrettini WH, Wilson GD, Imam K, Maddens M, Bisgin H, Graham SF, Radhakrishna U. Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer's disease. PLoS One. 2021 Mar 31;16(3):e0248375. doi: 10.1371/journal.pone.0248375. PMID: 33788842; PMCID: PMC8011726.