DNA methylation regulator-mediated modification patterns and risk of intracranial aneurysm: a multi-omics and epigenome-wide association study integrating machine learning, Mendelian randomization, eQTL and mQTL data

• Published in: Journal of translational medicine Vol. 21; no. 1; pp. 1 - 25
• Main Authors: Maimaiti, Aierpati, Turhon, Mirzat, Abulaiti, Aimitaji, Dilixiati, Yilidanna, Zhang, Fujunhui, Axieer, Aximujiang, Kadeer, Kaheerman, Zhang, Yisen, Maimaitili, Aisha, Yang, Xinjian
• Format: Journal Article
• Language: English
• Published: London BioMed Central Ltd 23.09.2023; BioMed Central; BMC
• Subjects: Algorithms; Aneurysm; Aneurysms; Anopheles; B cells; Bioinformatics; Biomarkers; Data mining; Datasets; DNA; DNA methylation; DNA methylation regulator; Environmental factors; Epigenetic inheritance; Epigenetics; Genes; Genome-wide association studies; Genomes; Genomics; Health aspects; Intracranial aneurysms; Learning algorithms; Machine learning; Mendelian randomization; Methylation; Multi-omics; Pathogenesis; Therapeutic applications; Transcriptomics

Background Intracranial aneurysms (IAs) pose a significant and intricate challenge. Elucidating the interplay between DNA methylation and IA pathogenesis is paramount to identify potential biomarkers and therapeutic interventions. Methods We employed a comprehensive bioinformatics investigation of D...