Evaluation of pre-processing on the meta-analysis of DNA methylation data from the Illumina HumanMethylation450 BeadChip platform

• Published in: PLOS ONE Vol. 15; no. 3; p. e0229763
• Main Authors: Sala, Claudia, Di Lena, Pietro, Fernandes Durso, Danielle, Prodi, Andrea, Castellani, Gastone, Nardini, Christine
• Format: Journal Article Publication
• Language: English
• Published: United States Public Library of Science (PLoS) 10.03.2020; Public Library of Science
• Subjects: Algorithms; Animals; Biochemistry; Bioinformatics; Biology and life sciences; Biostatistics; Computational Biology; Computer and Information Sciences; Computer applications; Critical components; Data reduction; Datasets; Deoxyribonucleic acid; Disease; DNA; DNA methylation; Gene expression; Genetic research; Genomes; Genomics; High-Throughput Nucleotide Sequencing; Humans; Inflammatory bowel disease; Laboratories; Medicine; Medicine and Health Sciences; Meta-analysis; Meta-Analysis as Topic; Meta-analysis, DNA methylation, Illumina HumanMethylation450 BeadChip, preprocessing, normalization; Metaanalysis; Methods; Methylation; methylaton pre-processing; Parkinson disease; Parkinson's disease; Performance evaluation; Physical Sciences; Pipelines; Q; R; Research and Analysis Methods; Research Article; Science; Sequence Analysis, DNA; Software; Statistical analysis; Statistical data; Statistical methods; Variability; Italy

Meta-analysis is a powerful means for leveraging the hundreds of experiments being run worldwide into more statistically powerful analyses. This is also true for the analysis of omic data, including genome-wide DNA methylation. In particular, thousands of DNA methylation profiles generated using the...