An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk

Mostra el registre complet Registre parcial de l'ítem

• dc.contributor.author Wu, Lang
• dc.contributor.author PEGASUS Consortium
• dc.date.accessioned 2022-05-27T05:51:09Z
• dc.date.available 2022-05-27T05:51:09Z
• dc.date.issued 2020
• dc.description.abstract It remains elusive whether some of the associations identified in genome-wide association studies of prostate cancer (PrCa) may be due to regulatory effects of genetic variants on CpG sites, which may further influence expression of PrCa target genes. To search for CpG sites associated with PrCa risk, here we establish genetic models to predict methylation (N = 1,595) and conduct association analyses with PrCa risk (79,194 cases and 61,112 controls). We identify 759 CpG sites showing an association, including 15 located at novel loci. Among those 759 CpG sites, methylation of 42 is associated with expression of 28 adjacent genes. Among 22 genes, 18 show an association with PrCa risk. Overall, 25 CpG sites show consistent association directions for the methylation-gene expression-PrCa pathway. We identify DNA methylation biomarkers associated with PrCa, and our findings suggest that specific CpG sites may influence PrCa via regulating expression of candidate PrCa target genes.
• dc.format.mimetype application/pdf
• dc.identifier.citation Wu L, Yang Y, Guo X, Shu XO, Cai Q, Shu X et al. An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk. Nat Commun. 2020 Aug 6;11(1):3905. DOI: 10.1038/s41467-020-17673-9
• dc.identifier.doi http://dx.doi.org/10.1038/s41467-020-17673-9
• dc.identifier.issn 2041-1723
• dc.identifier.uri http://hdl.handle.net/10230/53284
• dc.language.iso eng
• dc.publisher Nature Research
• dc.relation.ispartof Nat Commun. 2020 Aug 6;11(1):3905
• dc.rights © The Author(s) 2020. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Cancer epidemiology
• dc.subject.keyword Cancer genetics
• dc.subject.keyword Genetics
• dc.title An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion