The dynamics of DNA methylation covariation patterns in carcinogenesis

• Published in: PLoS computational biology Vol. 10; no. 7; p. e1003709
• Main Authors: Teschendorff, Andrew E, Liu, Xiaoping, Caren, Helena, Pollard, Steve M, Beck, Stephan, Widschwendter, Martin, Chen, Luonan
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01.07.2014; Public Library of Science (PLoS)
• Subjects: Algorithms; Bioinformatics (Computational Biology); Bioinformatik (beräkningsbiologi); Biology and life sciences; Biomarkers, Tumor - genetics; Cancer; Cancer and Oncology; Cancer och onkologi; Carcinogenesis - classification; Carcinogenesis - genetics; Carcinogens; Cervical cancer; Computational Biology - methods; Deoxyribonucleic acid; Disease; Disease Progression; DNA; DNA methylation; DNA Methylation - genetics; DNA sequencing; Epigenetics; Female; Gene loci; Genetic aspects; Genetic research; Genomes; Human papillomavirus; Humans; Medical Biotechnology; Medicine and Health Sciences; Medicinsk bioteknologi; Metastasis; Methylation; Nucleotide sequencing; Oncology, Experimental; Papillomavirus Infections; Phase transitions; Physical Sciences; Standard deviation; Studies; Uterine Cervical Neoplasms

Recently it has been observed that cancer tissue is characterised by an increased variability in DNA methylation patterns. However, how the correlative patterns in genome-wide DNA methylation change during the carcinogenic progress has not yet been explored. Here we study genome-wide inter-CpG corre...