Integrative DNA methylome analysis of pan-cancer biomarkers in cancer discordant monozygotic twin-pairs View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Leonie Roos, Jenny van Dongen, Christopher G. Bell, Andrea Burri, Panos Deloukas, Dorret I. Boomsma, Tim D. Spector, Jordana T. Bell

ABSTRACT

BACKGROUND: A key focus in cancer research is the discovery of biomarkers that accurately diagnose early lesions in non-invasive tissues. Several studies have identified malignancy-associated DNA methylation changes in blood, yet no general cancer biomarker has been identified to date. Here, we explore the potential of blood DNA methylation as a biomarker of pan-cancer (cancer of multiple different origins) in 41 female cancer discordant monozygotic (MZ) twin-pairs sampled before or after diagnosis using the Illumina HumanMethylation450 BeadChip. RESULTS: We analysed epigenome-wide DNA methylation profiles in 41 cancer discordant MZ twin-pairs with affected individuals diagnosed with tumours at different single primary sites: the breast, cervix, colon, endometrium, thyroid gland, skin (melanoma), ovary, and pancreas. No significant global differences in whole blood DNA methylation profiles were observed. Epigenome-wide analyses identified one novel pan-cancer differentially methylated position at false discovery rate (FDR) threshold of 10 % (cg02444695, P = 1.8 × 10(-7)) in an intergenic region 70 kb upstream of the SASH1 tumour suppressor gene, and three suggestive signals in COL11A2, AXL, and LINC00340. Replication of the four top-ranked signals in an independent sample of nine cancer-discordant MZ twin-pairs showed a similar direction of association at COL11A2, AXL, and LINC00340, and significantly greater methylation discordance at AXL compared to 480 healthy concordant MZ twin-pairs. The effects at cg02444695 (near SASH1), COL11A2, and LINC00340 were the most promising in biomarker potential because the DNA methylation differences were found to pre-exist in samples obtained prior to diagnosis and were limited to a 5-year period before diagnosis. Gene expression follow-up at the top-ranked signals in 283 healthy individuals showed correlation between blood methylation and gene expression in lymphoblastoid cell lines at PRL, and in the skin tissue at AXL. A significant enrichment of differential DNA methylation was observed in enhancer regions (P = 0.03). CONCLUSIONS: We identified DNA methylation signatures in blood associated with pan-cancer, at or near SASH1, COL11A2, AXL, and LINC00340. Three of these signals were present up to 5 years prior to cancer diagnosis, highlighting the potential clinical utility of whole blood DNA methylation analysis in cancer surveillance. More... »

PAGES

7

References to SciGraph publications

  • 2014-06. Genome-wide age-related changes in DNA methylation and gene expression in human PBMCs in GEROSCIENCE
  • 2013-01. SASH1 regulates proliferation, apoptosis, and invasion of osteosarcoma cell in MOLECULAR AND CELLULAR BIOCHEMISTRY
  • 2003-05. SASH1: a candidate tumor suppressor gene on chromosome 6q24.3 is downregulated in breast cancer in ONCOGENE
  • 2012-12. DNA methylation arrays as surrogate measures of cell mixture distribution in BMC BIOINFORMATICS
  • 2012-10. Mapping cis- and trans-regulatory effects across multiple tissues in twins in NATURE GENETICS
  • 2015-12. A varying T cell subtype explains apparent tobacco smoking induced single CpG hypomethylation in whole blood in CLINICAL EPIGENETICS
  • 2013-10. Mutational landscape and significance across 12 major cancer types in NATURE
  • 2014-12. DNA methylation signatures link prenatal famine exposure to growth and metabolism in NATURE COMMUNICATIONS
  • 2014-11. Preclinical validation of AXL receptor as a target for antibody-based pancreatic cancer immunotherapy in ONCOGENE
  • 2013-04. Molecular pathological epidemiology of epigenetics: emerging integrative science to analyze environment, host, and disease in MODERN PATHOLOGY
  • 2014-12. A BRCA1-mutation associated DNA methylation signature in blood cells predicts sporadic breast cancer incidence and survival in GENOME MEDICINE
  • 2011-05-05. Mapping and analysis of chromatin state dynamics in nine human cell types in NATURE
  • 2014-04. Methylomic analysis of monozygotic twins discordant for autism spectrum disorder and related behavioural traits in MOLECULAR PSYCHIATRY
  • 2008-06. PRL PTPs: mediators and markers of cancer progression in CANCER AND METASTASIS REVIEWS
  • 2013-10. The Cancer Genome Atlas Pan-Cancer analysis project in NATURE GENETICS
  • 2015-12. Hypermethylation of the TGF-β target, ABCA1 is associated with poor prognosis in ovarian cancer patients in CLINICAL EPIGENETICS
  • 2009-02. DNA methylation profiles in monozygotic and dizygotic twins in NATURE GENETICS
  • 2014-12. Differences in smoking associated DNA methylation patterns in South Asians and Europeans in CLINICAL EPIGENETICS
  • 2012-10. DNA methylation profiling in the clinic: applications and challenges in NATURE REVIEWS GENETICS
  • 2015-12. Pancancer analysis of DNA methylation-driven genes using MethylMix in GENOME BIOLOGY
  • 2006-12. Novel germline variants identified in the inner mitochondrial membrane transporter TIMM44 and their role in predisposition to oncocytic thyroid carcinomas in BRITISH JOURNAL OF CANCER
  • 2013-10. Pan-cancer patterns of somatic copy number alteration in NATURE GENETICS
  • 2006-11. Prognostic significance of downregulated expression of the candidate tumour suppressor gene SASH1 in colon cancer in BRITISH JOURNAL OF CANCER
  • 2014-11. Functional normalization of 450k methylation array data improves replication in large cancer studies in GENOME BIOLOGY
  • 2014-03. Epigenome-wide association studies without the need for cell-type composition in NATURE METHODS
  • 2013-10. DNA methylation age of human tissues and cell types in GENOME BIOLOGY
  • 2013-06. Neuroblastoma: developmental biology, cancer genomics and immunotherapy in NATURE REVIEWS CANCER
  • 2011-01. DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines in GENOME BIOLOGY
  • 2014-12. A pan-cancer proteomic perspective on The Cancer Genome Atlas in NATURE COMMUNICATIONS
  • 2011-10. A decade of exploring the cancer epigenome — biological and translational implications in NATURE REVIEWS CANCER
  • 2011-03. Emerging molecular biomarkers—blood-based strategies to detect and monitor cancer in NATURE REVIEWS CLINICAL ONCOLOGY
  • 2013-02. Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in rheumatoid arthritis in NATURE BIOTECHNOLOGY
  • 2009-11. Expression profiling identifies genes that predict recurrence of breast cancer after adjuvant CMF-based chemotherapy in BREAST CANCER RESEARCH AND TREATMENT
  • 2014-08. Pan-cancer patterns of DNA methylation in GENOME MEDICINE
  • 2008-06. DNA methylation landscapes: provocative insights from epigenomics in NATURE REVIEWS GENETICS
  • 2012-02. Epigenetics and the environment: emerging patterns and implications in NATURE REVIEWS GENETICS
  • 2010-08. Discovery and characterization of chromatin states for systematic annotation of the human genome in NATURE BIOTECHNOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13148-016-0172-y

    DOI

    http://dx.doi.org/10.1186/s13148-016-0172-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1035155354

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/26798410


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Oncology and Carcinogenesis", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adult", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Age Factors", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Breast Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Colonic Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "DNA Methylation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Diseases in Twins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Endometrial Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Epigenomics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genetic Markers", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Melanoma", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Ovarian Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Pancreatic Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Risk Factors", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Skin Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Smoking", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Thyroid Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Twins, Monozygotic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Uterine Cervical Neoplasms", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, King\u2019s College London, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Roos", 
            "givenName": "Leonie", 
            "id": "sg:person.01156470545.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01156470545.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "VU University Amsterdam", 
              "id": "https://www.grid.ac/institutes/grid.12380.38", 
              "name": [
                "Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "van Dongen", 
            "givenName": "Jenny", 
            "id": "sg:person.0605554360.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605554360.12"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Southampton", 
              "id": "https://www.grid.ac/institutes/grid.5491.9", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, King\u2019s College London, London, UK", 
                "MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK", 
                "Human Development and Health Academic Unit, Institute of Developmental Sciences, University of Southampton, Southampton, UK", 
                "Epigenomic Medicine, Centre for Biological Sciences, Faculty of Environmental and Natural Sciences, University of Southampton, Southampton, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bell", 
            "givenName": "Christopher G.", 
            "id": "sg:person.0622165111.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622165111.21"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Zurich", 
              "id": "https://www.grid.ac/institutes/grid.7400.3", 
              "name": [
                "Department of Psychology, University of Zurich, Zurich, Switzerland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Burri", 
            "givenName": "Andrea", 
            "id": "sg:person.01254377750.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254377750.52"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Queen Mary University of London", 
              "id": "https://www.grid.ac/institutes/grid.4868.2", 
              "name": [
                "William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Deloukas", 
            "givenName": "Panos", 
            "id": "sg:person.016466407337.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016466407337.40"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "VU University Amsterdam", 
              "id": "https://www.grid.ac/institutes/grid.12380.38", 
              "name": [
                "Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Boomsma", 
            "givenName": "Dorret I.", 
            "id": "sg:person.0610667722.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610667722.81"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, King\u2019s College London, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Spector", 
            "givenName": "Tim D.", 
            "id": "sg:person.014424006237.85", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014424006237.85"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, King\u2019s College London, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bell", 
            "givenName": "Jordana T.", 
            "id": "sg:person.012420471572.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012420471572.13"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/mp.2013.41", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001260661", 
              "https://doi.org/10.1038/mp.2013.41"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-008-0207-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001324034", 
              "https://doi.org/10.1007/s10549-008-0207-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-008-0207-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001324034", 
              "https://doi.org/10.1007/s10549-008-0207-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2487", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001445372", 
              "https://doi.org/10.1038/nbt.2487"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature12634", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001644479", 
              "https://doi.org/10.1038/nature12634"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/modpathol.2012.214", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002097174", 
              "https://doi.org/10.1038/modpathol.2012.214"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2010.31.3577", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002437584"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0087361", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002503414"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms4887", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003186097", 
              "https://doi.org/10.1038/ncomms4887"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2394", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003718794", 
              "https://doi.org/10.1038/ng.2394"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg3270", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003814753", 
              "https://doi.org/10.1038/nrg3270"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0063812", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005291935"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2217/epi.11.105", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005689442"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11010-012-1491-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006112970", 
              "https://doi.org/10.1007/s11010-012-1491-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ygeno.2009.12.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007642436"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13148-014-0036-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008387419", 
              "https://doi.org/10.1186/s13148-014-0036-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13148-014-0036-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008387419", 
              "https://doi.org/10.1186/s13148-014-0036-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gm567", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008791101", 
              "https://doi.org/10.1186/gm567"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0107166", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010336885"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2013-14-10-r115", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012339256", 
              "https://doi.org/10.1186/gb-2013-14-10-r115"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2011-12-1-r10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013023838", 
              "https://doi.org/10.1186/gb-2011-12-1-r10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1868-7083-6-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013553357", 
              "https://doi.org/10.1186/1868-7083-6-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.2815", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015462245", 
              "https://doi.org/10.1038/nmeth.2815"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.onc.1206474", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015797855", 
              "https://doi.org/10.1038/sj.onc.1206474"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.onc.1206474", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015797855", 
              "https://doi.org/10.1038/sj.onc.1206474"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18632/oncotarget.4148", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016674787"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1002629", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017145901"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/ije/dyr238", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018238800"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/hmg/dds135", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018341300"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13073-014-0066-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020107189", 
              "https://doi.org/10.1186/s13073-014-0066-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13073-014-0066-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020107189", 
              "https://doi.org/10.1186/s13073-014-0066-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrclinonc.2010.220", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020431673", 
              "https://doi.org/10.1038/nrclinonc.2010.220"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1474-9726.2012.00835.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020614371"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1474-9726.2012.00835.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020614371"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1474-9726.2012.00835.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020614371"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2013.10.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022477774"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0008274", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026095249"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg3142", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027336196", 
              "https://doi.org/10.1038/nrg3142"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1375/twin.4.6.464", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027491960"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.bjc.6603455", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028057642", 
              "https://doi.org/10.1038/sj.bjc.6603455"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.bjc.6603455", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028057642", 
              "https://doi.org/10.1038/sj.bjc.6603455"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/carcin/bgs321", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028644730"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2011.03.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029393546"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/hmg/ddt160", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032885360"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc3130", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033114461", 
              "https://doi.org/10.1038/nrc3130"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.bjc.6603452", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033233200", 
              "https://doi.org/10.1038/sj.bjc.6603452"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.bjc.6603452", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033233200", 
              "https://doi.org/10.1038/sj.bjc.6603452"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms6592", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033755183", 
              "https://doi.org/10.1038/ncomms6592"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2764", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033967678", 
              "https://doi.org/10.1038/ng.2764"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0579-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034291584", 
              "https://doi.org/10.1186/s13059-014-0579-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0579-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034291584", 
              "https://doi.org/10.1186/s13059-014-0579-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1152/physiolgenomics.00130.2011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034444631"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bts680", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034923242"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/ije/dyv041", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035356802"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18632/oncotarget.3962", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035756773"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2341", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036150552", 
              "https://doi.org/10.1038/nrg2341"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btu049", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036696259"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.286", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037289311", 
              "https://doi.org/10.1038/ng.286"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejmra072067", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039993367"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-12-3224", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040707535"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3322/caac.21208", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041182772"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1289/ehp.1205412", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041725439"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2760", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042520483", 
              "https://doi.org/10.1038/ng.2760"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09906", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043304663", 
              "https://doi.org/10.1038/nature09906"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0503-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044368765", 
              "https://doi.org/10.1186/s13059-014-0503-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0503-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044368765", 
              "https://doi.org/10.1186/s13059-014-0503-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc3526", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044463510", 
              "https://doi.org/10.1038/nrc3526"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1053/j.gastro.2007.10.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044752247"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10555-008-9121-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045156747", 
              "https://doi.org/10.1007/s10555-008-9121-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10555-008-9121-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045156747", 
              "https://doi.org/10.1007/s10555-008-9121-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btu029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046489335"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1375/twin.13.3.231", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046517074"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ygyno.2012.11.036", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047221528"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/bmj.g1338", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047314713"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-13-86", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047392734", 
              "https://doi.org/10.1186/1471-2105-13-86"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-13-86", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047392734", 
              "https://doi.org/10.1186/1471-2105-13-86"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2217/epi.14.13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048978899"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.136598.111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049246854"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-10-2041", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049770835"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1662", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050061238", 
              "https://doi.org/10.1038/nbt.1662"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13148-015-0113-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050525094", 
              "https://doi.org/10.1186/s13148-015-0113-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13148-015-0113-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050525094", 
              "https://doi.org/10.1186/s13148-015-0113-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11357-014-9648-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050617559", 
              "https://doi.org/10.1007/s11357-014-9648-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11357-014-9648-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050617559", 
              "https://doi.org/10.1007/s11357-014-9648-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/onc.2013.487", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051495759", 
              "https://doi.org/10.1038/onc.2013.487"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/onc.2013.487", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051495759", 
              "https://doi.org/10.1038/onc.2013.487"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.176933.114", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052993995"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/15384101.2015.1006051", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058401770"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1375/1369052012803", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1067169893"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4161/epi.28575", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072302782"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078521387", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-12", 
        "datePublishedReg": "2016-12-01", 
        "description": "BACKGROUND: A key focus in cancer research is the discovery of biomarkers that accurately diagnose early lesions in non-invasive tissues. Several studies have identified malignancy-associated DNA methylation changes in blood, yet no general cancer biomarker has been identified to date. Here, we explore the potential of blood DNA methylation as a biomarker of pan-cancer (cancer of multiple different origins) in 41 female cancer discordant monozygotic (MZ) twin-pairs sampled before or after diagnosis using the Illumina HumanMethylation450 BeadChip.\nRESULTS: We analysed epigenome-wide DNA methylation profiles in 41 cancer discordant MZ twin-pairs with affected individuals diagnosed with tumours at different single primary sites: the breast, cervix, colon, endometrium, thyroid gland, skin (melanoma), ovary, and pancreas. No significant global differences in whole blood DNA methylation profiles were observed. Epigenome-wide analyses identified one novel pan-cancer differentially methylated position at false discovery rate (FDR) threshold of 10\u00a0% (cg02444695, P\u2009=\u20091.8\u2009\u00d7\u200910(-7)) in an intergenic region 70\u00a0kb upstream of the SASH1 tumour suppressor gene, and three suggestive signals in COL11A2, AXL, and LINC00340. Replication of the four top-ranked signals in an independent sample of nine cancer-discordant MZ twin-pairs showed a similar direction of association at COL11A2, AXL, and LINC00340, and significantly greater methylation discordance at AXL compared to 480 healthy concordant MZ twin-pairs. The effects at cg02444695 (near SASH1), COL11A2, and LINC00340 were the most promising in biomarker potential because the DNA methylation differences were found to pre-exist in samples obtained prior to diagnosis and were limited to a 5-year period before diagnosis. Gene expression follow-up at the top-ranked signals in 283 healthy individuals showed correlation between blood methylation and gene expression in lymphoblastoid cell lines at PRL, and in the skin tissue at AXL. A significant enrichment of differential DNA methylation was observed in enhancer regions (P\u2009=\u20090.03).\nCONCLUSIONS: We identified DNA methylation signatures in blood associated with pan-cancer, at or near SASH1, COL11A2, AXL, and LINC00340. Three of these signals were present up to 5\u00a0years prior to cancer diagnosis, highlighting the potential clinical utility of whole blood DNA methylation analysis in cancer surveillance.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/s13148-016-0172-y", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3792455", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1042271", 
            "issn": [
              "1868-7075", 
              "1868-7083"
            ], 
            "name": "Clinical Epigenetics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "8"
          }
        ], 
        "name": "Integrative DNA methylome analysis of pan-cancer biomarkers in cancer discordant monozygotic twin-pairs", 
        "pagination": "7", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "a7777d44ffe1b938c531aa17055e9cad46be7b81dc17e08458d99034a86ad226"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "26798410"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101516977"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s13148-016-0172-y"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1035155354"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s13148-016-0172-y", 
          "https://app.dimensions.ai/details/publication/pub.1035155354"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T19:09", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8678_00000514.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1186%2Fs13148-016-0172-y"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13148-016-0172-y'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13148-016-0172-y'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13148-016-0172-y'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13148-016-0172-y'


     

    This table displays all metadata directly associated to this object as RDF triples.

    495 TRIPLES      21 PREDICATES      129 URIs      45 LITERALS      33 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s13148-016-0172-y schema:about N00344e7d5c4b48a3925b746c441e37bc
    2 N251ea163ccf34b9b9b21cce2572a1d99
    3 N2568cc0f04e74588ad82fd061f557af7
    4 N2d18b22285cc441ab201e2fedf274703
    5 N4bd89f13678f4f04b29226323090d862
    6 N6338592643314225ae3a078cefd6bb9b
    7 N6ed937128b754c8ba577afef7b01b1b2
    8 N71f251997bb343c484d74cdd33c9d275
    9 N7383f0d533904cc2b5e38da81d66b4da
    10 N7d790aa30cde46178c4ee1990e40fc3a
    11 N8e1697f1e3184ad59213c4955b98e383
    12 N8e283251c2404404a97515846edfc551
    13 N9d8d9b142a6d41f69c323702d5cb983f
    14 N9e630adccc4747ea88495c4c53d3d5ce
    15 Na1342b1e1d03478e86772d2cbf415ad7
    16 Na1f29e2156344ec5a77c82f2bb28aa6f
    17 Na70b73715f5c483b9ec27693f91a59f3
    18 Nabb5695ab1f54be489d4ed047d367fdb
    19 Naf20f78c8fca4948a64fef0ae3be4f09
    20 Nb435c0e401f747c0a55d49024c4c1225
    21 Nbb8d03983f8844809887cd66f7dcc929
    22 Nda84a26a2d7842d18038b641da33c0b1
    23 Ne5dce98a91da43e5ab78e761c5e753ca
    24 Nead65c5283a5429391512a09931f0fd2
    25 anzsrc-for:11
    26 anzsrc-for:1112
    27 schema:author N3cac847499014d449c652b2989d73fcd
    28 schema:citation sg:pub.10.1007/s10549-008-0207-y
    29 sg:pub.10.1007/s10555-008-9121-3
    30 sg:pub.10.1007/s11010-012-1491-8
    31 sg:pub.10.1007/s11357-014-9648-x
    32 sg:pub.10.1038/modpathol.2012.214
    33 sg:pub.10.1038/mp.2013.41
    34 sg:pub.10.1038/nature09906
    35 sg:pub.10.1038/nature12634
    36 sg:pub.10.1038/nbt.1662
    37 sg:pub.10.1038/nbt.2487
    38 sg:pub.10.1038/ncomms4887
    39 sg:pub.10.1038/ncomms6592
    40 sg:pub.10.1038/ng.2394
    41 sg:pub.10.1038/ng.2760
    42 sg:pub.10.1038/ng.2764
    43 sg:pub.10.1038/ng.286
    44 sg:pub.10.1038/nmeth.2815
    45 sg:pub.10.1038/nrc3130
    46 sg:pub.10.1038/nrc3526
    47 sg:pub.10.1038/nrclinonc.2010.220
    48 sg:pub.10.1038/nrg2341
    49 sg:pub.10.1038/nrg3142
    50 sg:pub.10.1038/nrg3270
    51 sg:pub.10.1038/onc.2013.487
    52 sg:pub.10.1038/sj.bjc.6603452
    53 sg:pub.10.1038/sj.bjc.6603455
    54 sg:pub.10.1038/sj.onc.1206474
    55 sg:pub.10.1186/1471-2105-13-86
    56 sg:pub.10.1186/1868-7083-6-4
    57 sg:pub.10.1186/gb-2011-12-1-r10
    58 sg:pub.10.1186/gb-2013-14-10-r115
    59 sg:pub.10.1186/gm567
    60 sg:pub.10.1186/s13059-014-0503-2
    61 sg:pub.10.1186/s13059-014-0579-8
    62 sg:pub.10.1186/s13073-014-0066-6
    63 sg:pub.10.1186/s13148-014-0036-2
    64 sg:pub.10.1186/s13148-015-0113-1
    65 https://app.dimensions.ai/details/publication/pub.1078521387
    66 https://doi.org/10.1016/j.ajhg.2011.03.003
    67 https://doi.org/10.1016/j.ajhg.2013.10.004
    68 https://doi.org/10.1016/j.ygeno.2009.12.001
    69 https://doi.org/10.1016/j.ygyno.2012.11.036
    70 https://doi.org/10.1053/j.gastro.2007.10.013
    71 https://doi.org/10.1056/nejmra072067
    72 https://doi.org/10.1080/15384101.2015.1006051
    73 https://doi.org/10.1093/bioinformatics/bts680
    74 https://doi.org/10.1093/bioinformatics/btu029
    75 https://doi.org/10.1093/bioinformatics/btu049
    76 https://doi.org/10.1093/carcin/bgs321
    77 https://doi.org/10.1093/hmg/dds135
    78 https://doi.org/10.1093/hmg/ddt160
    79 https://doi.org/10.1093/ije/dyr238
    80 https://doi.org/10.1093/ije/dyv041
    81 https://doi.org/10.1101/gr.136598.111
    82 https://doi.org/10.1101/gr.176933.114
    83 https://doi.org/10.1111/j.1474-9726.2012.00835.x
    84 https://doi.org/10.1136/bmj.g1338
    85 https://doi.org/10.1152/physiolgenomics.00130.2011
    86 https://doi.org/10.1158/0008-5472.can-10-2041
    87 https://doi.org/10.1158/1078-0432.ccr-12-3224
    88 https://doi.org/10.1200/jco.2010.31.3577
    89 https://doi.org/10.1289/ehp.1205412
    90 https://doi.org/10.1371/journal.pgen.1002629
    91 https://doi.org/10.1371/journal.pone.0008274
    92 https://doi.org/10.1371/journal.pone.0063812
    93 https://doi.org/10.1371/journal.pone.0087361
    94 https://doi.org/10.1371/journal.pone.0107166
    95 https://doi.org/10.1375/1369052012803
    96 https://doi.org/10.1375/twin.13.3.231
    97 https://doi.org/10.1375/twin.4.6.464
    98 https://doi.org/10.18632/oncotarget.3962
    99 https://doi.org/10.18632/oncotarget.4148
    100 https://doi.org/10.2217/epi.11.105
    101 https://doi.org/10.2217/epi.14.13
    102 https://doi.org/10.3322/caac.21208
    103 https://doi.org/10.4161/epi.28575
    104 schema:datePublished 2016-12
    105 schema:datePublishedReg 2016-12-01
    106 schema:description BACKGROUND: A key focus in cancer research is the discovery of biomarkers that accurately diagnose early lesions in non-invasive tissues. Several studies have identified malignancy-associated DNA methylation changes in blood, yet no general cancer biomarker has been identified to date. Here, we explore the potential of blood DNA methylation as a biomarker of pan-cancer (cancer of multiple different origins) in 41 female cancer discordant monozygotic (MZ) twin-pairs sampled before or after diagnosis using the Illumina HumanMethylation450 BeadChip. RESULTS: We analysed epigenome-wide DNA methylation profiles in 41 cancer discordant MZ twin-pairs with affected individuals diagnosed with tumours at different single primary sites: the breast, cervix, colon, endometrium, thyroid gland, skin (melanoma), ovary, and pancreas. No significant global differences in whole blood DNA methylation profiles were observed. Epigenome-wide analyses identified one novel pan-cancer differentially methylated position at false discovery rate (FDR) threshold of 10 % (cg02444695, P = 1.8 × 10(-7)) in an intergenic region 70 kb upstream of the SASH1 tumour suppressor gene, and three suggestive signals in COL11A2, AXL, and LINC00340. Replication of the four top-ranked signals in an independent sample of nine cancer-discordant MZ twin-pairs showed a similar direction of association at COL11A2, AXL, and LINC00340, and significantly greater methylation discordance at AXL compared to 480 healthy concordant MZ twin-pairs. The effects at cg02444695 (near SASH1), COL11A2, and LINC00340 were the most promising in biomarker potential because the DNA methylation differences were found to pre-exist in samples obtained prior to diagnosis and were limited to a 5-year period before diagnosis. Gene expression follow-up at the top-ranked signals in 283 healthy individuals showed correlation between blood methylation and gene expression in lymphoblastoid cell lines at PRL, and in the skin tissue at AXL. A significant enrichment of differential DNA methylation was observed in enhancer regions (P = 0.03). CONCLUSIONS: We identified DNA methylation signatures in blood associated with pan-cancer, at or near SASH1, COL11A2, AXL, and LINC00340. Three of these signals were present up to 5 years prior to cancer diagnosis, highlighting the potential clinical utility of whole blood DNA methylation analysis in cancer surveillance.
    107 schema:genre research_article
    108 schema:inLanguage en
    109 schema:isAccessibleForFree true
    110 schema:isPartOf N2e76ea08a7e2490187bfbd8e56269d60
    111 N4d2b84b3fe434266a342f24cec5ff9b1
    112 sg:journal.1042271
    113 schema:name Integrative DNA methylome analysis of pan-cancer biomarkers in cancer discordant monozygotic twin-pairs
    114 schema:pagination 7
    115 schema:productId N0aedf12c12f54aa380ce6b15adad2b6e
    116 N10d4e8ed81dc413aaf6716a3ff6dea64
    117 N3116c735c4414567a6bd86510b18fdd7
    118 Nba0207e18ab3428cac0d6a36b8735a4e
    119 Ncd251e9b3473452d87ee71ba8b5f2264
    120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035155354
    121 https://doi.org/10.1186/s13148-016-0172-y
    122 schema:sdDatePublished 2019-04-10T19:09
    123 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    124 schema:sdPublisher N7c256bfdc22f478e9c96019fdf60563c
    125 schema:url http://link.springer.com/10.1186%2Fs13148-016-0172-y
    126 sgo:license sg:explorer/license/
    127 sgo:sdDataset articles
    128 rdf:type schema:ScholarlyArticle
    129 N00344e7d5c4b48a3925b746c441e37bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    130 schema:name Skin Neoplasms
    131 rdf:type schema:DefinedTerm
    132 N0aedf12c12f54aa380ce6b15adad2b6e schema:name readcube_id
    133 schema:value a7777d44ffe1b938c531aa17055e9cad46be7b81dc17e08458d99034a86ad226
    134 rdf:type schema:PropertyValue
    135 N0b48145826d6461b9521671f9ca92806 rdf:first sg:person.016466407337.40
    136 rdf:rest N4fa1903c614d4d67a05808e4228c33f5
    137 N0cfec0da6af84f1a86c3432344e032a1 rdf:first sg:person.0622165111.21
    138 rdf:rest N95f7d1aed3364ba3a0e8bb2c07217354
    139 N10d4e8ed81dc413aaf6716a3ff6dea64 schema:name nlm_unique_id
    140 schema:value 101516977
    141 rdf:type schema:PropertyValue
    142 N251ea163ccf34b9b9b21cce2572a1d99 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    143 schema:name DNA Methylation
    144 rdf:type schema:DefinedTerm
    145 N2568cc0f04e74588ad82fd061f557af7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    146 schema:name Epigenomics
    147 rdf:type schema:DefinedTerm
    148 N2d18b22285cc441ab201e2fedf274703 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    149 schema:name Genetic Markers
    150 rdf:type schema:DefinedTerm
    151 N2e76ea08a7e2490187bfbd8e56269d60 schema:volumeNumber 8
    152 rdf:type schema:PublicationVolume
    153 N3116c735c4414567a6bd86510b18fdd7 schema:name dimensions_id
    154 schema:value pub.1035155354
    155 rdf:type schema:PropertyValue
    156 N3cac847499014d449c652b2989d73fcd rdf:first sg:person.01156470545.16
    157 rdf:rest N97f80c87c5554f3ba906d48ac45ac0e4
    158 N4bd89f13678f4f04b29226323090d862 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    159 schema:name Adult
    160 rdf:type schema:DefinedTerm
    161 N4d2b84b3fe434266a342f24cec5ff9b1 schema:issueNumber 1
    162 rdf:type schema:PublicationIssue
    163 N4fa1903c614d4d67a05808e4228c33f5 rdf:first sg:person.0610667722.81
    164 rdf:rest N8f5f5962c3d44445871be8e41c537960
    165 N6338592643314225ae3a078cefd6bb9b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    166 schema:name Uterine Cervical Neoplasms
    167 rdf:type schema:DefinedTerm
    168 N6ed937128b754c8ba577afef7b01b1b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    169 schema:name Breast Neoplasms
    170 rdf:type schema:DefinedTerm
    171 N71f251997bb343c484d74cdd33c9d275 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    172 schema:name Thyroid Neoplasms
    173 rdf:type schema:DefinedTerm
    174 N7383f0d533904cc2b5e38da81d66b4da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    175 schema:name Risk Factors
    176 rdf:type schema:DefinedTerm
    177 N7c256bfdc22f478e9c96019fdf60563c schema:name Springer Nature - SN SciGraph project
    178 rdf:type schema:Organization
    179 N7d790aa30cde46178c4ee1990e40fc3a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    180 schema:name Melanoma
    181 rdf:type schema:DefinedTerm
    182 N83ea5bce0cf7421bae79edbaa9bdcf8e rdf:first sg:person.012420471572.13
    183 rdf:rest rdf:nil
    184 N8e1697f1e3184ad59213c4955b98e383 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    185 schema:name Colonic Neoplasms
    186 rdf:type schema:DefinedTerm
    187 N8e283251c2404404a97515846edfc551 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    188 schema:name Twins, Monozygotic
    189 rdf:type schema:DefinedTerm
    190 N8f5f5962c3d44445871be8e41c537960 rdf:first sg:person.014424006237.85
    191 rdf:rest N83ea5bce0cf7421bae79edbaa9bdcf8e
    192 N95f7d1aed3364ba3a0e8bb2c07217354 rdf:first sg:person.01254377750.52
    193 rdf:rest N0b48145826d6461b9521671f9ca92806
    194 N97f80c87c5554f3ba906d48ac45ac0e4 rdf:first sg:person.0605554360.12
    195 rdf:rest N0cfec0da6af84f1a86c3432344e032a1
    196 N9d8d9b142a6d41f69c323702d5cb983f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    197 schema:name Endometrial Neoplasms
    198 rdf:type schema:DefinedTerm
    199 N9e630adccc4747ea88495c4c53d3d5ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    200 schema:name Age Factors
    201 rdf:type schema:DefinedTerm
    202 Na1342b1e1d03478e86772d2cbf415ad7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    203 schema:name Smoking
    204 rdf:type schema:DefinedTerm
    205 Na1f29e2156344ec5a77c82f2bb28aa6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    206 schema:name Female
    207 rdf:type schema:DefinedTerm
    208 Na70b73715f5c483b9ec27693f91a59f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    209 schema:name Pancreatic Neoplasms
    210 rdf:type schema:DefinedTerm
    211 Nabb5695ab1f54be489d4ed047d367fdb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    212 schema:name Neoplasms
    213 rdf:type schema:DefinedTerm
    214 Naf20f78c8fca4948a64fef0ae3be4f09 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    215 schema:name Middle Aged
    216 rdf:type schema:DefinedTerm
    217 Nb435c0e401f747c0a55d49024c4c1225 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    218 schema:name Ovarian Neoplasms
    219 rdf:type schema:DefinedTerm
    220 Nba0207e18ab3428cac0d6a36b8735a4e schema:name doi
    221 schema:value 10.1186/s13148-016-0172-y
    222 rdf:type schema:PropertyValue
    223 Nbb8d03983f8844809887cd66f7dcc929 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    224 schema:name Aged
    225 rdf:type schema:DefinedTerm
    226 Ncd251e9b3473452d87ee71ba8b5f2264 schema:name pubmed_id
    227 schema:value 26798410
    228 rdf:type schema:PropertyValue
    229 Nda84a26a2d7842d18038b641da33c0b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    230 schema:name Male
    231 rdf:type schema:DefinedTerm
    232 Ne5dce98a91da43e5ab78e761c5e753ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    233 schema:name Diseases in Twins
    234 rdf:type schema:DefinedTerm
    235 Nead65c5283a5429391512a09931f0fd2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    236 schema:name Humans
    237 rdf:type schema:DefinedTerm
    238 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    239 schema:name Medical and Health Sciences
    240 rdf:type schema:DefinedTerm
    241 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
    242 schema:name Oncology and Carcinogenesis
    243 rdf:type schema:DefinedTerm
    244 sg:grant.3792455 http://pending.schema.org/fundedItem sg:pub.10.1186/s13148-016-0172-y
    245 rdf:type schema:MonetaryGrant
    246 sg:journal.1042271 schema:issn 1868-7075
    247 1868-7083
    248 schema:name Clinical Epigenetics
    249 rdf:type schema:Periodical
    250 sg:person.01156470545.16 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    251 schema:familyName Roos
    252 schema:givenName Leonie
    253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01156470545.16
    254 rdf:type schema:Person
    255 sg:person.012420471572.13 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    256 schema:familyName Bell
    257 schema:givenName Jordana T.
    258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012420471572.13
    259 rdf:type schema:Person
    260 sg:person.01254377750.52 schema:affiliation https://www.grid.ac/institutes/grid.7400.3
    261 schema:familyName Burri
    262 schema:givenName Andrea
    263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254377750.52
    264 rdf:type schema:Person
    265 sg:person.014424006237.85 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    266 schema:familyName Spector
    267 schema:givenName Tim D.
    268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014424006237.85
    269 rdf:type schema:Person
    270 sg:person.016466407337.40 schema:affiliation https://www.grid.ac/institutes/grid.4868.2
    271 schema:familyName Deloukas
    272 schema:givenName Panos
    273 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016466407337.40
    274 rdf:type schema:Person
    275 sg:person.0605554360.12 schema:affiliation https://www.grid.ac/institutes/grid.12380.38
    276 schema:familyName van Dongen
    277 schema:givenName Jenny
    278 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605554360.12
    279 rdf:type schema:Person
    280 sg:person.0610667722.81 schema:affiliation https://www.grid.ac/institutes/grid.12380.38
    281 schema:familyName Boomsma
    282 schema:givenName Dorret I.
    283 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610667722.81
    284 rdf:type schema:Person
    285 sg:person.0622165111.21 schema:affiliation https://www.grid.ac/institutes/grid.5491.9
    286 schema:familyName Bell
    287 schema:givenName Christopher G.
    288 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622165111.21
    289 rdf:type schema:Person
    290 sg:pub.10.1007/s10549-008-0207-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1001324034
    291 https://doi.org/10.1007/s10549-008-0207-y
    292 rdf:type schema:CreativeWork
    293 sg:pub.10.1007/s10555-008-9121-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045156747
    294 https://doi.org/10.1007/s10555-008-9121-3
    295 rdf:type schema:CreativeWork
    296 sg:pub.10.1007/s11010-012-1491-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006112970
    297 https://doi.org/10.1007/s11010-012-1491-8
    298 rdf:type schema:CreativeWork
    299 sg:pub.10.1007/s11357-014-9648-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050617559
    300 https://doi.org/10.1007/s11357-014-9648-x
    301 rdf:type schema:CreativeWork
    302 sg:pub.10.1038/modpathol.2012.214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002097174
    303 https://doi.org/10.1038/modpathol.2012.214
    304 rdf:type schema:CreativeWork
    305 sg:pub.10.1038/mp.2013.41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001260661
    306 https://doi.org/10.1038/mp.2013.41
    307 rdf:type schema:CreativeWork
    308 sg:pub.10.1038/nature09906 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043304663
    309 https://doi.org/10.1038/nature09906
    310 rdf:type schema:CreativeWork
    311 sg:pub.10.1038/nature12634 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001644479
    312 https://doi.org/10.1038/nature12634
    313 rdf:type schema:CreativeWork
    314 sg:pub.10.1038/nbt.1662 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050061238
    315 https://doi.org/10.1038/nbt.1662
    316 rdf:type schema:CreativeWork
    317 sg:pub.10.1038/nbt.2487 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001445372
    318 https://doi.org/10.1038/nbt.2487
    319 rdf:type schema:CreativeWork
    320 sg:pub.10.1038/ncomms4887 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003186097
    321 https://doi.org/10.1038/ncomms4887
    322 rdf:type schema:CreativeWork
    323 sg:pub.10.1038/ncomms6592 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033755183
    324 https://doi.org/10.1038/ncomms6592
    325 rdf:type schema:CreativeWork
    326 sg:pub.10.1038/ng.2394 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003718794
    327 https://doi.org/10.1038/ng.2394
    328 rdf:type schema:CreativeWork
    329 sg:pub.10.1038/ng.2760 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042520483
    330 https://doi.org/10.1038/ng.2760
    331 rdf:type schema:CreativeWork
    332 sg:pub.10.1038/ng.2764 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033967678
    333 https://doi.org/10.1038/ng.2764
    334 rdf:type schema:CreativeWork
    335 sg:pub.10.1038/ng.286 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037289311
    336 https://doi.org/10.1038/ng.286
    337 rdf:type schema:CreativeWork
    338 sg:pub.10.1038/nmeth.2815 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015462245
    339 https://doi.org/10.1038/nmeth.2815
    340 rdf:type schema:CreativeWork
    341 sg:pub.10.1038/nrc3130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033114461
    342 https://doi.org/10.1038/nrc3130
    343 rdf:type schema:CreativeWork
    344 sg:pub.10.1038/nrc3526 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044463510
    345 https://doi.org/10.1038/nrc3526
    346 rdf:type schema:CreativeWork
    347 sg:pub.10.1038/nrclinonc.2010.220 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020431673
    348 https://doi.org/10.1038/nrclinonc.2010.220
    349 rdf:type schema:CreativeWork
    350 sg:pub.10.1038/nrg2341 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036150552
    351 https://doi.org/10.1038/nrg2341
    352 rdf:type schema:CreativeWork
    353 sg:pub.10.1038/nrg3142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027336196
    354 https://doi.org/10.1038/nrg3142
    355 rdf:type schema:CreativeWork
    356 sg:pub.10.1038/nrg3270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003814753
    357 https://doi.org/10.1038/nrg3270
    358 rdf:type schema:CreativeWork
    359 sg:pub.10.1038/onc.2013.487 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051495759
    360 https://doi.org/10.1038/onc.2013.487
    361 rdf:type schema:CreativeWork
    362 sg:pub.10.1038/sj.bjc.6603452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033233200
    363 https://doi.org/10.1038/sj.bjc.6603452
    364 rdf:type schema:CreativeWork
    365 sg:pub.10.1038/sj.bjc.6603455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028057642
    366 https://doi.org/10.1038/sj.bjc.6603455
    367 rdf:type schema:CreativeWork
    368 sg:pub.10.1038/sj.onc.1206474 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015797855
    369 https://doi.org/10.1038/sj.onc.1206474
    370 rdf:type schema:CreativeWork
    371 sg:pub.10.1186/1471-2105-13-86 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047392734
    372 https://doi.org/10.1186/1471-2105-13-86
    373 rdf:type schema:CreativeWork
    374 sg:pub.10.1186/1868-7083-6-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013553357
    375 https://doi.org/10.1186/1868-7083-6-4
    376 rdf:type schema:CreativeWork
    377 sg:pub.10.1186/gb-2011-12-1-r10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013023838
    378 https://doi.org/10.1186/gb-2011-12-1-r10
    379 rdf:type schema:CreativeWork
    380 sg:pub.10.1186/gb-2013-14-10-r115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012339256
    381 https://doi.org/10.1186/gb-2013-14-10-r115
    382 rdf:type schema:CreativeWork
    383 sg:pub.10.1186/gm567 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008791101
    384 https://doi.org/10.1186/gm567
    385 rdf:type schema:CreativeWork
    386 sg:pub.10.1186/s13059-014-0503-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044368765
    387 https://doi.org/10.1186/s13059-014-0503-2
    388 rdf:type schema:CreativeWork
    389 sg:pub.10.1186/s13059-014-0579-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034291584
    390 https://doi.org/10.1186/s13059-014-0579-8
    391 rdf:type schema:CreativeWork
    392 sg:pub.10.1186/s13073-014-0066-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020107189
    393 https://doi.org/10.1186/s13073-014-0066-6
    394 rdf:type schema:CreativeWork
    395 sg:pub.10.1186/s13148-014-0036-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008387419
    396 https://doi.org/10.1186/s13148-014-0036-2
    397 rdf:type schema:CreativeWork
    398 sg:pub.10.1186/s13148-015-0113-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050525094
    399 https://doi.org/10.1186/s13148-015-0113-1
    400 rdf:type schema:CreativeWork
    401 https://app.dimensions.ai/details/publication/pub.1078521387 schema:CreativeWork
    402 https://doi.org/10.1016/j.ajhg.2011.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029393546
    403 rdf:type schema:CreativeWork
    404 https://doi.org/10.1016/j.ajhg.2013.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022477774
    405 rdf:type schema:CreativeWork
    406 https://doi.org/10.1016/j.ygeno.2009.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007642436
    407 rdf:type schema:CreativeWork
    408 https://doi.org/10.1016/j.ygyno.2012.11.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047221528
    409 rdf:type schema:CreativeWork
    410 https://doi.org/10.1053/j.gastro.2007.10.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044752247
    411 rdf:type schema:CreativeWork
    412 https://doi.org/10.1056/nejmra072067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039993367
    413 rdf:type schema:CreativeWork
    414 https://doi.org/10.1080/15384101.2015.1006051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058401770
    415 rdf:type schema:CreativeWork
    416 https://doi.org/10.1093/bioinformatics/bts680 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034923242
    417 rdf:type schema:CreativeWork
    418 https://doi.org/10.1093/bioinformatics/btu029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046489335
    419 rdf:type schema:CreativeWork
    420 https://doi.org/10.1093/bioinformatics/btu049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036696259
    421 rdf:type schema:CreativeWork
    422 https://doi.org/10.1093/carcin/bgs321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028644730
    423 rdf:type schema:CreativeWork
    424 https://doi.org/10.1093/hmg/dds135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018341300
    425 rdf:type schema:CreativeWork
    426 https://doi.org/10.1093/hmg/ddt160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032885360
    427 rdf:type schema:CreativeWork
    428 https://doi.org/10.1093/ije/dyr238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018238800
    429 rdf:type schema:CreativeWork
    430 https://doi.org/10.1093/ije/dyv041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035356802
    431 rdf:type schema:CreativeWork
    432 https://doi.org/10.1101/gr.136598.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049246854
    433 rdf:type schema:CreativeWork
    434 https://doi.org/10.1101/gr.176933.114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052993995
    435 rdf:type schema:CreativeWork
    436 https://doi.org/10.1111/j.1474-9726.2012.00835.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020614371
    437 rdf:type schema:CreativeWork
    438 https://doi.org/10.1136/bmj.g1338 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047314713
    439 rdf:type schema:CreativeWork
    440 https://doi.org/10.1152/physiolgenomics.00130.2011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034444631
    441 rdf:type schema:CreativeWork
    442 https://doi.org/10.1158/0008-5472.can-10-2041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049770835
    443 rdf:type schema:CreativeWork
    444 https://doi.org/10.1158/1078-0432.ccr-12-3224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040707535
    445 rdf:type schema:CreativeWork
    446 https://doi.org/10.1200/jco.2010.31.3577 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002437584
    447 rdf:type schema:CreativeWork
    448 https://doi.org/10.1289/ehp.1205412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041725439
    449 rdf:type schema:CreativeWork
    450 https://doi.org/10.1371/journal.pgen.1002629 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017145901
    451 rdf:type schema:CreativeWork
    452 https://doi.org/10.1371/journal.pone.0008274 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026095249
    453 rdf:type schema:CreativeWork
    454 https://doi.org/10.1371/journal.pone.0063812 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005291935
    455 rdf:type schema:CreativeWork
    456 https://doi.org/10.1371/journal.pone.0087361 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002503414
    457 rdf:type schema:CreativeWork
    458 https://doi.org/10.1371/journal.pone.0107166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010336885
    459 rdf:type schema:CreativeWork
    460 https://doi.org/10.1375/1369052012803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067169893
    461 rdf:type schema:CreativeWork
    462 https://doi.org/10.1375/twin.13.3.231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046517074
    463 rdf:type schema:CreativeWork
    464 https://doi.org/10.1375/twin.4.6.464 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027491960
    465 rdf:type schema:CreativeWork
    466 https://doi.org/10.18632/oncotarget.3962 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035756773
    467 rdf:type schema:CreativeWork
    468 https://doi.org/10.18632/oncotarget.4148 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016674787
    469 rdf:type schema:CreativeWork
    470 https://doi.org/10.2217/epi.11.105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005689442
    471 rdf:type schema:CreativeWork
    472 https://doi.org/10.2217/epi.14.13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048978899
    473 rdf:type schema:CreativeWork
    474 https://doi.org/10.3322/caac.21208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041182772
    475 rdf:type schema:CreativeWork
    476 https://doi.org/10.4161/epi.28575 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072302782
    477 rdf:type schema:CreativeWork
    478 https://www.grid.ac/institutes/grid.12380.38 schema:alternateName VU University Amsterdam
    479 schema:name Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
    480 rdf:type schema:Organization
    481 https://www.grid.ac/institutes/grid.13097.3c schema:alternateName King's College London
    482 schema:name Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
    483 rdf:type schema:Organization
    484 https://www.grid.ac/institutes/grid.4868.2 schema:alternateName Queen Mary University of London
    485 schema:name William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
    486 rdf:type schema:Organization
    487 https://www.grid.ac/institutes/grid.5491.9 schema:alternateName University of Southampton
    488 schema:name Department of Twin Research and Genetic Epidemiology, King’s College London, London, UK
    489 Epigenomic Medicine, Centre for Biological Sciences, Faculty of Environmental and Natural Sciences, University of Southampton, Southampton, UK
    490 Human Development and Health Academic Unit, Institute of Developmental Sciences, University of Southampton, Southampton, UK
    491 MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
    492 rdf:type schema:Organization
    493 https://www.grid.ac/institutes/grid.7400.3 schema:alternateName University of Zurich
    494 schema:name Department of Psychology, University of Zurich, Zurich, Switzerland
    495 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...