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

Genome wide association studies have identified multiple loci associated with risk of developing prostate cancer but the functional significance of many of these are unknown. Here, after generating models to predict methylation, the authors identify CpG methylation sites associated with prostate can...

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Autores principales: Lang Wu, Yaohua Yang, Xingyi Guo, Xiao-Ou Shu, Qiuyin Cai, Xiang Shu, Bingshan Li, Ran Tao, Chong Wu, Jason B. Nikas, Yanfa Sun, Jingjing Zhu, Monique J. Roobol, Graham G. Giles, Hermann Brenner, Esther M. John, Judith Clements, Eli Marie Grindedal, Jong Y. Park, Janet L. Stanford, Zsofia Kote-Jarai, Christopher A. Haiman, Rosalind A. Eeles, Wei Zheng, Jirong Long, The PRACTICAL consortium, CRUK Consortium, BPC3 Consortium, CAPS Consortium, PEGASUS Consortium
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Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/456af6ff59804fc190f9204dd09bea49
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spelling oai:doaj.org-article:456af6ff59804fc190f9204dd09bea492021-12-02T18:49:29ZAn integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk10.1038/s41467-020-17673-92041-1723https://doaj.org/article/456af6ff59804fc190f9204dd09bea492020-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17673-9https://doaj.org/toc/2041-1723Genome wide association studies have identified multiple loci associated with risk of developing prostate cancer but the functional significance of many of these are unknown. Here, after generating models to predict methylation, the authors identify CpG methylation sites associated with prostate cancer.Lang WuYaohua YangXingyi GuoXiao-Ou ShuQiuyin CaiXiang ShuBingshan LiRan TaoChong WuJason B. NikasYanfa SunJingjing ZhuMonique J. RoobolGraham G. GilesHermann BrennerEsther M. JohnJudith ClementsEli Marie GrindedalJong Y. ParkJanet L. StanfordZsofia Kote-JaraiChristopher A. HaimanRosalind A. EelesWei ZhengJirong LongThe PRACTICAL consortiumCRUK ConsortiumBPC3 ConsortiumCAPS ConsortiumPEGASUS ConsortiumNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Lang Wu
Yaohua Yang
Xingyi Guo
Xiao-Ou Shu
Qiuyin Cai
Xiang Shu
Bingshan Li
Ran Tao
Chong Wu
Jason B. Nikas
Yanfa Sun
Jingjing Zhu
Monique J. Roobol
Graham G. Giles
Hermann Brenner
Esther M. John
Judith Clements
Eli Marie Grindedal
Jong Y. Park
Janet L. Stanford
Zsofia Kote-Jarai
Christopher A. Haiman
Rosalind A. Eeles
Wei Zheng
Jirong Long
The PRACTICAL consortium
CRUK Consortium
BPC3 Consortium
CAPS Consortium
PEGASUS Consortium
An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk
description Genome wide association studies have identified multiple loci associated with risk of developing prostate cancer but the functional significance of many of these are unknown. Here, after generating models to predict methylation, the authors identify CpG methylation sites associated with prostate cancer.
format article
author Lang Wu
Yaohua Yang
Xingyi Guo
Xiao-Ou Shu
Qiuyin Cai
Xiang Shu
Bingshan Li
Ran Tao
Chong Wu
Jason B. Nikas
Yanfa Sun
Jingjing Zhu
Monique J. Roobol
Graham G. Giles
Hermann Brenner
Esther M. John
Judith Clements
Eli Marie Grindedal
Jong Y. Park
Janet L. Stanford
Zsofia Kote-Jarai
Christopher A. Haiman
Rosalind A. Eeles
Wei Zheng
Jirong Long
The PRACTICAL consortium
CRUK Consortium
BPC3 Consortium
CAPS Consortium
PEGASUS Consortium
author_facet Lang Wu
Yaohua Yang
Xingyi Guo
Xiao-Ou Shu
Qiuyin Cai
Xiang Shu
Bingshan Li
Ran Tao
Chong Wu
Jason B. Nikas
Yanfa Sun
Jingjing Zhu
Monique J. Roobol
Graham G. Giles
Hermann Brenner
Esther M. John
Judith Clements
Eli Marie Grindedal
Jong Y. Park
Janet L. Stanford
Zsofia Kote-Jarai
Christopher A. Haiman
Rosalind A. Eeles
Wei Zheng
Jirong Long
The PRACTICAL consortium
CRUK Consortium
BPC3 Consortium
CAPS Consortium
PEGASUS Consortium
author_sort Lang Wu
title An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk
title_short An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk
title_full An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk
title_fullStr An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk
title_full_unstemmed An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk
title_sort integrative multi-omics analysis to identify candidate dna methylation biomarkers related to prostate cancer risk
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/456af6ff59804fc190f9204dd09bea49
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