Using parenclitic networks on phaeochromocytoma and paraganglioma tumours provides novel insights on global DNA methylation.

ABSTRACT: Despite the prevalence of sequencing data in biomedical research, the methylome remains underrepresented. Given the importance of DNA methylation in gene regulation and disease, it is crucial to address the need for reliable differential methylation methods. This work presents a novel, transferable approach for extracting information from DNA methylation data. Our agnostic, graph-based pipeline overcomes the limitations of commonly used differential methylation techniques and addresses the "small n, big k" problem. Pheochromocytoma and Paraganglioma (PPGL) tumours with known genetic aetiologies experience extreme hypermethylation genome wide. To highlight the effectiveness of our method in candidate discovery, we present the first phenotypic classifier of PPGLs based on DNA methylation ach

SUBMITTER: Brempou D 

PROVIDER: S-EPMC11612305 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature