For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
1
views
9
references
 Top references
cited by
1
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      556
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Heritable methylation marks associated with prostate cancer risk

      brief-report

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          DNA methylation marks that are inherited from parents to offspring are known to play a role in cancer risk and could explain part of the familial risk for cancer. We therefore conducted a genome-wide search for heritable methylation marks associated with prostate cancer risk. Peripheral blood DNA methylation was measured for 133 of the 469 members of 25 multiple-case prostate cancer families, using the EPIC array. We used these families to systematically search the genome for methylation marks with Mendelian patterns of inheritance, then we tested the 1,000 most heritable marks for association with prostate cancer risk. After correcting for multiple testing, 41 heritable methylation marks were associated with prostate cancer risk. Separate analyses, based on 869 incident cases and 869 controls from a prospective cohort study, showed that 9 of these marks near the metastable epiallele VTRNA2-1 were also nominally associated with aggressive prostate cancer risk in the population.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s10689-022-00325-w.

          Related collections

          Most cited references9

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Identification of 55,000 Replicated DNA Methylation QTL

          Allan McRae, Riccardo E Marioni, Sonia Shah … (2018)
          DNA methylation plays an important role in the regulation of transcription. Genetic control of DNA methylation is a potential candidate for explaining the many identified SNP associations with disease that are not found in coding regions. We replicated 52,916 cis and 2,025 trans DNA methylation quantitative trait loci (mQTL) using methylation from whole blood measured on Illumina HumanMethylation450 arrays in the Brisbane Systems Genetics Study (n = 614 from 177 families) and the Lothian Birth Cohorts of 1921 and 1936 (combined n = 1366). The trans mQTL SNPs were found to be over-represented in 1 Mbp subtelomeric regions, and on chromosomes 16 and 19. There was a significant increase in trans mQTL DNA methylation sites in upstream and 5′ UTR regions. The genetic heritability of a number of complex traits and diseases was partitioned into components due to mQTL and the remainder of the genome. Significant enrichment was observed for height (p = 2.1 × 10−10), ulcerative colitis (p = 2 × 10−5), Crohn’s disease (p = 6 × 10−8) and coronary artery disease (p = 5.5 × 10−6) when compared to a random sample of SNPs with matched minor allele frequency, although this enrichment is explained by the genomic location of the mQTL SNPs.
          Article 0 comments Cited 90 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Cohort Profile: The Melbourne Collaborative Cohort Study (Health 2020)

            R L Milne, A S Fletcher, R J MacInnis … (2017)
            Article 0 comments Cited 68 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Heritable DNA methylation marks associated with susceptibility to breast cancer

              Jihoon Joo, James Dowty, Roger Milne … (2018)
              Mendelian-like inheritance of germline DNA methylation in cancer susceptibility genes has been previously reported. We aimed to scan the genome for heritable methylation marks associated with breast cancer susceptibility by studying 25 Australian multiple-case breast cancer families. Here we report genome-wide DNA methylation measured in 210 peripheral blood DNA samples provided by family members using the Infinium HumanMethylation450. We develop and apply a new statistical method to identify heritable methylation marks based on complex segregation analysis. We estimate carrier probabilities for the 1000 most heritable methylation marks based on family structure, and we use Cox proportional hazards survival analysis to identify 24 methylation marks with corresponding carrier probabilities significantly associated with breast cancer. We replicate an association with breast cancer risk for four of the 24 marks using an independent nested case–control study. Here, we report a novel approach for identifying heritable DNA methylation marks associated with breast cancer risk.
              Article 0 comments Cited 39 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Melissa C. Southey: melissa.southey@monash.edu
                Journal
                Journal ID (nlm-ta): Fam Cancer
                Journal ID (iso-abbrev): Fam Cancer
                Title: Familial Cancer
                Publisher: Springer Netherlands (Dordrecht )
                ISSN (Print): 1389-9600
                ISSN (Electronic): 1573-7292
                Publication date (Electronic): 28 January 2023
                Publication date PMC-release: 28 January 2023
                Publication date (Print): 2023
                Volume: 22
                Issue: 3
                Pages: 313-317
                Affiliations
                [1 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, , The University of Melbourne, ; 3010 Parkville, VIC Australia
                [2 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, Precision Medicine, School of Clinical Sciences at Monash Health, , Monash University, ; 3168 Clayton, VIC Australia
                [3 ]GRID grid.3263.4, ISNI 0000 0001 1482 3639, Cancer Epidemiology Division, , Cancer Council Victoria, ; 3004 Melbourne, VIC Australia
                [4 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Department of Clinical Pathology, Melbourne Medical School, , The University of Melbourne, ; 3010 Parkville, VIC Australia
                [5 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, Cancer Research Program, Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, , Monash University, ; 3800 Clayton, VIC Australia
                Article
                Publisher ID: 325
                DOI: 10.1007/s10689-022-00325-w
                PMC ID: 10275808
                PubMed ID: 36708485
                SO-VID: 2daf619f-dcd5-4f4c-af99-ebc365ed3d4a
                Copyright © © The Author(s) 2023
                License:

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                Date received : 13 December 2021
                Date accepted : 9 December 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000927, Prostate Cancer Foundation of Australia;
                Award ID: NCG-0716
                Award Recipient :
                Categories
                Subject: Short Communication
                Custom metadata
                issue-copyright-statement © Springer Nature B.V. 2023

                ScienceOpen disciplines: Oncology & Radiotherapy
                Keywords: dna methylation,trans-generational inheritance,heritable methylation marks,prostate cancer risk,familial prostate cancer,aggressive prostate cancer
                Data availability:
                ScienceOpen disciplines: Oncology & Radiotherapy
                Keywords: dna methylation, trans-generational inheritance, heritable methylation marks, prostate cancer risk, familial prostate cancer, aggressive prostate cancer

                Comments

                Comment on this article