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An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk
- Source :
- Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020), Wu, L, Yang, Y, Guo, X, Shu, X O, Cai, Q, Shu, X, Li, B, Tao, R, Wu, C, Nikas, J B, Sun, Y, Zhu, J, Roobol, M J, Giles, G G, Brenner, H, John, E M, Clements, J, Grindedal, E M, Park, J Y, Stanford, J L, Kote-Jarai, Z, Haiman, C A, Eeles, R A, Zheng, W, Long, J, Eeles, R A, Henderson, B E, Haiman, C A, Kote-Jarai, Z, Schumacher, F R, Easton, D, Benlloch, S, Olama, A A A, Muir, K, Berndt, S I, Conti, D V, Wiklund, F, Chanock, S, Gapstur, S M, Stevens, V L, Tangen, C M, Batra, J, Clements, J, Gronberg, H, Pashayan, N, Schleutker, J, Albanes, D, Weinstein, S, Wolk, A, Nordestgaard, B G, CRUK Consortium, BPC3 Consortium, CAPS Consortium, PEGASUS Consortium & The Practical Consortium 2020, ' An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk ', Nature Communications, vol. 11, no. 1, 3905 . https://doi.org/10.1038/s41467-020-17673-9, Wu, L, Yang, Y, Guo, X, Shu, X O, Cai, Q, Shu, X, Li, B, Tao, R, Wu, C, Nikas, J B, Sun, Y, Zhu, J, Roobol, M J, Giles, G G, Brenner, H, John, E M, Clements, J, Grindedal, E M, Park, J Y, Stanford, J L, Kote-Jarai, Z, Haiman, C A, Eeles, R A, Zheng, W, Long, J, The PRACTICAL Consortium, CRUK Consortium, BPC3 Consortium, CAPS Consortium & PEGASUS Consortium 2020, ' An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk ', Nature Communications, vol. 11, 3905 . https://doi.org/10.1038/s41467-020-17673-9, Nature Communications, Nature Communications, 11(1):3905. Nature Publishing Group
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
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.<br />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.
- Subjects :
- 0301 basic medicine
Male
General Physics and Astronomy
02 engineering and technology
VARIANTS
urologic and male genital diseases
DISEASE
CRUK Consortium
Prostate cancer
BPC3 Consortium
Risk Factors
Epidemiology of cancer
GWAS
lcsh:Science
Cancer genetics
GENE-EXPRESSION
Genetics
Multidisciplinary
Methylation
021001 nanoscience & nanotechnology
STATISTICS
Multidisciplinary Sciences
CpG site
DNA methylation
Science & Technology - Other Topics
0210 nano-technology
SUSCEPTIBILITY LOCI
Science
Biology
Article
General Biochemistry, Genetics and Molecular Biology
PRACTICAL consortium
03 medical and health sciences
Cancer epidemiology
SDG 3 - Good Health and Well-being
REVEALS
Genetic model
medicine
Biomarkers, Tumor
Humans
Genetic Predisposition to Disease
Gene
Genetic Association Studies
Genetic association
Science & Technology
Models, Genetic
MORTALITY
Prostatic Neoplasms
General Chemistry
DNA Methylation
medicine.disease
CAPS Consortium
030104 developmental biology
TISSUE
ANTIGEN LEVEL
Case-Control Studies
lcsh:Q
CpG Islands
PEGASUS Consortium
Subjects
Details
- ISSN :
- 20411723
- Database :
- OpenAIRE
- Journal :
- Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020), Wu, L, Yang, Y, Guo, X, Shu, X O, Cai, Q, Shu, X, Li, B, Tao, R, Wu, C, Nikas, J B, Sun, Y, Zhu, J, Roobol, M J, Giles, G G, Brenner, H, John, E M, Clements, J, Grindedal, E M, Park, J Y, Stanford, J L, Kote-Jarai, Z, Haiman, C A, Eeles, R A, Zheng, W, Long, J, Eeles, R A, Henderson, B E, Haiman, C A, Kote-Jarai, Z, Schumacher, F R, Easton, D, Benlloch, S, Olama, A A A, Muir, K, Berndt, S I, Conti, D V, Wiklund, F, Chanock, S, Gapstur, S M, Stevens, V L, Tangen, C M, Batra, J, Clements, J, Gronberg, H, Pashayan, N, Schleutker, J, Albanes, D, Weinstein, S, Wolk, A, Nordestgaard, B G, CRUK Consortium, BPC3 Consortium, CAPS Consortium, PEGASUS Consortium & The Practical Consortium 2020, ' An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk ', Nature Communications, vol. 11, no. 1, 3905 . https://doi.org/10.1038/s41467-020-17673-9, Wu, L, Yang, Y, Guo, X, Shu, X O, Cai, Q, Shu, X, Li, B, Tao, R, Wu, C, Nikas, J B, Sun, Y, Zhu, J, Roobol, M J, Giles, G G, Brenner, H, John, E M, Clements, J, Grindedal, E M, Park, J Y, Stanford, J L, Kote-Jarai, Z, Haiman, C A, Eeles, R A, Zheng, W, Long, J, The PRACTICAL Consortium, CRUK Consortium, BPC3 Consortium, CAPS Consortium & PEGASUS Consortium 2020, ' An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk ', Nature Communications, vol. 11, 3905 . https://doi.org/10.1038/s41467-020-17673-9, Nature Communications, Nature Communications, 11(1):3905. Nature Publishing Group
- Accession number :
- edsair.doi.dedup.....9e01c05c44961ac0fefcb2ec86a86b5c
- Full Text :
- https://doi.org/10.17863/cam.73998