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An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to pros...

An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to pros...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_456af6ff59804fc190f9204dd09bea49

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

About this item

Full title

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

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2020-08, Vol.11 (1), p.3905-11, Article 3905

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

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 met...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_456af6ff59804fc190f9204dd09bea49

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_456af6ff59804fc190f9204dd09bea49

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-020-17673-9

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