An epigenome-wide association study of metabolic syndrome and its components View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-11-25

AUTHORS

Marja-Liisa Nuotio, Natalia Pervjakova, Anni Joensuu, Ville Karhunen, Tero Hiekkalinna, Lili Milani, Johannes Kettunen, Marjo-Riitta Järvelin, Pekka Jousilahti, Andres Metspalu, Veikko Salomaa, Kati Kristiansson, Markus Perola

ABSTRACT

The role of metabolic syndrome (MetS) as a preceding metabolic state for type 2 diabetes and cardiovascular disease is widely recognised. To accumulate knowledge of the pathological mechanisms behind the condition at the methylation level, we conducted an epigenome-wide association study (EWAS) of MetS and its components, testing 1187 individuals of European ancestry for approximately 470 000 methylation sites throughout the genome. Methylation site cg19693031 in gene TXNIP —previously associated with type 2 diabetes, glucose and lipid metabolism, associated with fasting glucose level (P = 1.80 × 10−8). Cg06500161 in gene ABCG1 associated both with serum triglycerides (P = 5.36 × 10−9) and waist circumference (P = 5.21 × 10−9). The previously identified type 2 diabetes–associated locus cg08309687 in chromosome 21 associated with waist circumference for the first time (P = 2.24 × 10−7). Furthermore, a novel HDL association with cg17901584 in chromosome 1 was identified (P = 7.81 × 10−8). Our study supports previous genetic studies of MetS, finding that lipid metabolism plays a key role in pathology of the syndrome. We provide evidence regarding a close interplay with glucose metabolism. Finally, we suggest that in attempts to identify methylation loci linking separate MetS components, cg19693031 appears to represent a strong candidate. More... »

PAGES

20567

References to SciGraph publications

  • 2012-05-08. DNA methylation arrays as surrogate measures of cell mixture distribution in BMC BIOINFORMATICS
  • 2014-02-01. The prevalence of metabolic syndrome and metabolically healthy obesity in Europe: a collaborative analysis of ten large cohort studies in BMC ENDOCRINE DISORDERS
  • 2012-06-15. SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips in GENOME BIOLOGY
  • 2011-12-11. Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians in NATURE GENETICS
  • 2014-08-16. Genetics of metabolic syndrome in REVIEWS IN ENDOCRINE AND METABOLIC DISORDERS
  • 2017-11-21. DNA methylation markers associated with type 2 diabetes, fasting glucose and HbA1c levels: a systematic review and replication in a case–control sample of the Lifelines study in DIABETOLOGIA
  • 2018-04-10. Epigenome-wide association study of metabolic syndrome in African-American adults in CLINICAL EPIGENETICS
  • 2015-10-03. Type 2 diabetes and leucocyte DNA methylation: an epigenome-wide association study in over 1,500 older adults in DIABETOLOGIA
  • 2015-02-15. A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies in GENOME BIOLOGY
  • 2010-05-28. GWAMA: software for genome-wide association meta-analysis in BMC BIOINFORMATICS
  • 2013-03-19. Fatty acid binding protein 3 (fabp3) is associated with insulin, lipids and cardiovascular phenotypes of the metabolic syndrome through epigenetic modifications in a northern european family population in BMC MEDICAL GENOMICS
  • 2019-04-29. pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS) in BMC BIOINFORMATICS
  • Journal

    TITLE

    Scientific Reports

    ISSUE

    1

    VOLUME

    10

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-020-77506-z

    DOI

    http://dx.doi.org/10.1038/s41598-020-77506-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1132921908

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/33239708


    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/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "ATP Binding Cassette Transporter, Subfamily G, Member 1", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adult", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Carrier Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "DNA Methylation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Diabetes Mellitus, Type 2", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Epigenesis, Genetic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Epigenome", 
            "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": "Finland", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome-Wide Association Study", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Glucose", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lipid Metabolism", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lipids", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Metabolic Syndrome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Polymorphism, Single Nucleotide", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Whites", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland", 
              "id": "http://www.grid.ac/institutes/grid.7737.4", 
              "name": [
                "Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland", 
                "Genomics and Biobank Unit, Department of Public Health Solutions, National Institute for Health and Welfare, Biomedicum 1, Haartmaninkatu 8, 00290, Helsinki, Finland", 
                "Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nuotio", 
            "givenName": "Marja-Liisa", 
            "id": "sg:person.01012051565.68", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012051565.68"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia", 
              "id": "http://www.grid.ac/institutes/grid.10939.32", 
              "name": [
                "Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pervjakova", 
            "givenName": "Natalia", 
            "id": "sg:person.01156044655.15", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01156044655.15"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland", 
              "id": "http://www.grid.ac/institutes/grid.7737.4", 
              "name": [
                "Genomics and Biobank Unit, Department of Public Health Solutions, National Institute for Health and Welfare, Biomedicum 1, Haartmaninkatu 8, 00290, Helsinki, Finland", 
                "Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Joensuu", 
            "givenName": "Anni", 
            "id": "sg:person.0607616274.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607616274.03"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK", 
              "id": "http://www.grid.ac/institutes/grid.7445.2", 
              "name": [
                "Center for Life Course Health Research, University of Oulu, Oulu, Finland", 
                "Oulu University Hospital, Oulu, Finland", 
                "Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Karhunen", 
            "givenName": "Ville", 
            "id": "sg:person.015154651745.75", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015154651745.75"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Genomics and Biobank Unit, Department of Public Health Solutions, National Institute for Health and Welfare, Biomedicum 1, Haartmaninkatu 8, 00290, Helsinki, Finland", 
              "id": "http://www.grid.ac/institutes/grid.14758.3f", 
              "name": [
                "Genomics and Biobank Unit, Department of Public Health Solutions, National Institute for Health and Welfare, Biomedicum 1, Haartmaninkatu 8, 00290, Helsinki, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hiekkalinna", 
            "givenName": "Tero", 
            "id": "sg:person.01336625223.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336625223.12"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia", 
              "id": "http://www.grid.ac/institutes/grid.10939.32", 
              "name": [
                "Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Milani", 
            "givenName": "Lili", 
            "id": "sg:person.01120140410.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120140410.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Population Health Science, Bristol Medical School, University of Bristol and Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK", 
              "id": "http://www.grid.ac/institutes/grid.5337.2", 
              "name": [
                "Center for Life Course Health Research, University of Oulu, Oulu, Finland", 
                "Biocenter Oulu, University of Oulu, Oulu, Finland", 
                "Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland", 
                "Population Health Science, Bristol Medical School, University of Bristol and Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kettunen", 
            "givenName": "Johannes", 
            "id": "sg:person.01252600521.33", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01252600521.33"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK", 
              "id": "http://www.grid.ac/institutes/grid.7445.2", 
              "name": [
                "Center for Life Course Health Research, University of Oulu, Oulu, Finland", 
                "Biocenter Oulu, University of Oulu, Oulu, Finland", 
                "Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland", 
                "Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "J\u00e4rvelin", 
            "givenName": "Marjo-Riitta", 
            "id": "sg:person.015301404517.88", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015301404517.88"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Finnish Institute for Health and Welfare, Helsinki, Finland", 
              "id": "http://www.grid.ac/institutes/grid.14758.3f", 
              "name": [
                "Finnish Institute for Health and Welfare, Helsinki, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jousilahti", 
            "givenName": "Pekka", 
            "id": "sg:person.0660107161.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660107161.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia", 
              "id": "http://www.grid.ac/institutes/grid.10939.32", 
              "name": [
                "Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia", 
                "Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Metspalu", 
            "givenName": "Andres", 
            "id": "sg:person.01313145634.66", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313145634.66"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Finnish Institute for Health and Welfare, Helsinki, Finland", 
              "id": "http://www.grid.ac/institutes/grid.14758.3f", 
              "name": [
                "Finnish Institute for Health and Welfare, Helsinki, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Salomaa", 
            "givenName": "Veikko", 
            "id": "sg:person.01022740164.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022740164.96"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland", 
              "id": "http://www.grid.ac/institutes/grid.7737.4", 
              "name": [
                "Genomics and Biobank Unit, Department of Public Health Solutions, National Institute for Health and Welfare, Biomedicum 1, Haartmaninkatu 8, 00290, Helsinki, Finland", 
                "Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kristiansson", 
            "givenName": "Kati", 
            "id": "sg:person.0720236373.88", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720236373.88"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland", 
              "id": "http://www.grid.ac/institutes/grid.7737.4", 
              "name": [
                "Genomics and Biobank Unit, Department of Public Health Solutions, National Institute for Health and Welfare, Biomedicum 1, Haartmaninkatu 8, 00290, Helsinki, Finland", 
                "Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Perola", 
            "givenName": "Markus", 
            "id": "sg:person.01104357207.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104357207.40"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/1755-8794-6-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025570761", 
              "https://doi.org/10.1186/1755-8794-6-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12859-019-2804-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1113815354", 
              "https://doi.org/10.1186/s12859-019-2804-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2012-13-6-r44", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035557760", 
              "https://doi.org/10.1186/gb-2012-13-6-r44"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-11-288", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023780871", 
              "https://doi.org/10.1186/1471-2105-11-288"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13148-018-0483-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103148833", 
              "https://doi.org/10.1186/s13148-018-0483-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-015-0600-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011764120", 
              "https://doi.org/10.1186/s13059-015-0600-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.1019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028769230", 
              "https://doi.org/10.1038/ng.1019"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00125-017-4497-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092853311", 
              "https://doi.org/10.1007/s00125-017-4497-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00125-015-3773-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034323356", 
              "https://doi.org/10.1007/s00125-015-3773-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11154-014-9293-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048430659", 
              "https://doi.org/10.1007/s11154-014-9293-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1472-6823-14-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037777078", 
              "https://doi.org/10.1186/1472-6823-14-9"
            ], 
            "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"
          }
        ], 
        "datePublished": "2020-11-25", 
        "datePublishedReg": "2020-11-25", 
        "description": "The role of metabolic syndrome (MetS) as a preceding metabolic state for type 2 diabetes and cardiovascular disease is widely recognised. To accumulate knowledge of the pathological mechanisms behind the condition at the methylation level, we conducted an epigenome-wide association study (EWAS) of MetS and its components, testing 1187 individuals of European ancestry for approximately 470\u00a0000 methylation sites throughout the genome. Methylation site cg19693031 in gene TXNIP \u2014previously associated with type 2 diabetes, glucose and lipid metabolism, associated with fasting glucose level (P\u2009=\u20091.80\u2009\u00d7\u200910\u22128). Cg06500161 in gene ABCG1 associated both with serum triglycerides (P\u2009=\u20095.36\u2009\u00d7\u200910\u22129) and waist circumference (P\u2009=\u20095.21\u2009\u00d7\u200910\u22129). The previously identified type 2 diabetes\u2013associated locus cg08309687 in chromosome 21 associated with waist circumference for the first time (P\u2009=\u20092.24\u2009\u00d7\u200910\u22127). Furthermore, a novel HDL association with cg17901584 in chromosome 1 was identified (P\u2009=\u20097.81\u2009\u00d7\u200910\u22128). Our study supports previous genetic studies of MetS, finding that lipid metabolism plays a key role in pathology of the syndrome. We provide evidence regarding a close interplay with glucose metabolism. Finally, we suggest that in attempts to identify methylation loci linking separate MetS components, cg19693031 appears to represent a strong candidate.", 
        "genre": "article", 
        "id": "sg:pub.10.1038/s41598-020-77506-z", 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3797914", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3790518", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.5165509", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3791356", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4886156", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4247778", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4247657", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.5050687", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.8558108", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4273822", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.9012825", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.5324337", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.5051028", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1045337", 
            "issn": [
              "2045-2322"
            ], 
            "name": "Scientific Reports", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "10"
          }
        ], 
        "keywords": [
          "type 2 diabetes", 
          "waist circumference", 
          "metabolic syndrome", 
          "lipid metabolism", 
          "separate MetS components", 
          "epigenome-wide association studies", 
          "MetS components", 
          "serum triglycerides", 
          "cardiovascular disease", 
          "glucose levels", 
          "glucose metabolism", 
          "pathological mechanisms", 
          "syndrome", 
          "association studies", 
          "diabetes", 
          "HDL association", 
          "cg19693031", 
          "metabolic state", 
          "European ancestry", 
          "chromosome 21", 
          "circumference", 
          "metabolism", 
          "MetS", 
          "methylation levels", 
          "triglycerides", 
          "methylation loci", 
          "ABCG1", 
          "disease", 
          "study", 
          "pathology", 
          "genetic studies", 
          "key role", 
          "TXNIP", 
          "levels", 
          "association", 
          "role", 
          "glucose", 
          "close interplay", 
          "chromosome 1", 
          "individuals", 
          "strong candidate", 
          "evidence", 
          "methylation sites", 
          "Previous genetic studies", 
          "first time", 
          "mechanism", 
          "ancestry", 
          "candidates", 
          "components", 
          "sites", 
          "knowledge", 
          "time", 
          "loci", 
          "attempt", 
          "interplay", 
          "conditions", 
          "genome", 
          "state"
        ], 
        "name": "An epigenome-wide association study of metabolic syndrome and its components", 
        "pagination": "20567", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1132921908"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41598-020-77506-z"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "33239708"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41598-020-77506-z", 
          "https://app.dimensions.ai/details/publication/pub.1132921908"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:42", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_870.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1038/s41598-020-77506-z"
      }
    ]
     

    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.10.1038/s41598-020-77506-z'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-020-77506-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-020-77506-z'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-020-77506-z'


     

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

    389 TRIPLES      21 PREDICATES      117 URIs      97 LITERALS      29 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41598-020-77506-z schema:about N2b403effe7414f42b648fe6b60a715b5
    2 N2d5894e1ba484512b25d7e766b2425d7
    3 N409500713feb464f90309e419f71ec9f
    4 N42121035eb1a4f15862db10ab6b29f12
    5 N47cc9eebb52d4765995b10e6cf652e53
    6 N59152cebaa1d4e319c311319e675d4bc
    7 N5d56e6e615364ab1a709e67b76baf9f6
    8 N75df41adc98242e3bb3f20c37e564391
    9 N82854d695a6e4faa86f3535e165b9e90
    10 N8cfb421a438e43279ac560f6602fd756
    11 Na28ebafb311e47dcb11042ff6140e623
    12 Nbc4ff9f25e094af2abbffec7718d96d3
    13 Ncd680029e85e424a8ae230055b9d79f9
    14 Nd2e6972ef53044f1aed59042f2b831f0
    15 Nd48124cbefe74f348e0fb431ceac8005
    16 Nd936d13b0221419fbdd5188511f1cde2
    17 Ndd7cbc81ddc542bc8185fb7b740843ad
    18 Ne8b4bb5be6ef4570a2764457aef04087
    19 Neae51c2dec434418ae555011192bbc90
    20 Nf426946b89a44c7d9f4599f24111e23b
    21 Nf51e562609ca471e8004c4d18fe1d117
    22 Nf77fb6b3ed5a48a2a2781767e73d2982
    23 anzsrc-for:06
    24 anzsrc-for:0604
    25 schema:author Nd2381fda6efe4aae8aa7b65bba1e6d77
    26 schema:citation sg:pub.10.1007/s00125-015-3773-7
    27 sg:pub.10.1007/s00125-017-4497-7
    28 sg:pub.10.1007/s11154-014-9293-9
    29 sg:pub.10.1038/ng.1019
    30 sg:pub.10.1186/1471-2105-11-288
    31 sg:pub.10.1186/1471-2105-13-86
    32 sg:pub.10.1186/1472-6823-14-9
    33 sg:pub.10.1186/1755-8794-6-9
    34 sg:pub.10.1186/gb-2012-13-6-r44
    35 sg:pub.10.1186/s12859-019-2804-7
    36 sg:pub.10.1186/s13059-015-0600-x
    37 sg:pub.10.1186/s13148-018-0483-2
    38 schema:datePublished 2020-11-25
    39 schema:datePublishedReg 2020-11-25
    40 schema:description The role of metabolic syndrome (MetS) as a preceding metabolic state for type 2 diabetes and cardiovascular disease is widely recognised. To accumulate knowledge of the pathological mechanisms behind the condition at the methylation level, we conducted an epigenome-wide association study (EWAS) of MetS and its components, testing 1187 individuals of European ancestry for approximately 470 000 methylation sites throughout the genome. Methylation site cg19693031 in gene TXNIP —previously associated with type 2 diabetes, glucose and lipid metabolism, associated with fasting glucose level (P = 1.80 × 10−8). Cg06500161 in gene ABCG1 associated both with serum triglycerides (P = 5.36 × 10−9) and waist circumference (P = 5.21 × 10−9). The previously identified type 2 diabetes–associated locus cg08309687 in chromosome 21 associated with waist circumference for the first time (P = 2.24 × 10−7). Furthermore, a novel HDL association with cg17901584 in chromosome 1 was identified (P = 7.81 × 10−8). Our study supports previous genetic studies of MetS, finding that lipid metabolism plays a key role in pathology of the syndrome. We provide evidence regarding a close interplay with glucose metabolism. Finally, we suggest that in attempts to identify methylation loci linking separate MetS components, cg19693031 appears to represent a strong candidate.
    41 schema:genre article
    42 schema:isAccessibleForFree true
    43 schema:isPartOf Ne7aec0d0e75148328af7a04957414997
    44 Nf621a2bb4eb24c76ae8985cadbccb358
    45 sg:journal.1045337
    46 schema:keywords ABCG1
    47 European ancestry
    48 HDL association
    49 MetS
    50 MetS components
    51 Previous genetic studies
    52 TXNIP
    53 ancestry
    54 association
    55 association studies
    56 attempt
    57 candidates
    58 cardiovascular disease
    59 cg19693031
    60 chromosome 1
    61 chromosome 21
    62 circumference
    63 close interplay
    64 components
    65 conditions
    66 diabetes
    67 disease
    68 epigenome-wide association studies
    69 evidence
    70 first time
    71 genetic studies
    72 genome
    73 glucose
    74 glucose levels
    75 glucose metabolism
    76 individuals
    77 interplay
    78 key role
    79 knowledge
    80 levels
    81 lipid metabolism
    82 loci
    83 mechanism
    84 metabolic state
    85 metabolic syndrome
    86 metabolism
    87 methylation levels
    88 methylation loci
    89 methylation sites
    90 pathological mechanisms
    91 pathology
    92 role
    93 separate MetS components
    94 serum triglycerides
    95 sites
    96 state
    97 strong candidate
    98 study
    99 syndrome
    100 time
    101 triglycerides
    102 type 2 diabetes
    103 waist circumference
    104 schema:name An epigenome-wide association study of metabolic syndrome and its components
    105 schema:pagination 20567
    106 schema:productId N5c6d2673a76349728f69df8bd5dd20de
    107 Nb4d40006dba64fd5bbe5ac0ed398b04a
    108 Ne689920c3f7d4ed08fa54aa3bde32dcf
    109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1132921908
    110 https://doi.org/10.1038/s41598-020-77506-z
    111 schema:sdDatePublished 2022-12-01T06:42
    112 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    113 schema:sdPublisher Ne37aa152abef479da55fdf126e869870
    114 schema:url https://doi.org/10.1038/s41598-020-77506-z
    115 sgo:license sg:explorer/license/
    116 sgo:sdDataset articles
    117 rdf:type schema:ScholarlyArticle
    118 N0b69116cb3504d83ae59a1bc934ad077 rdf:first sg:person.01156044655.15
    119 rdf:rest Nb0fde9484db94b0788937bd596691651
    120 N1cab0f0a50d3452193014745e6dc4fa9 rdf:first sg:person.01313145634.66
    121 rdf:rest Nc2e3507d18404221b1b03842736e163f
    122 N1ff70fda8b4a47d8ac795a55387fb9d8 rdf:first sg:person.01120140410.39
    123 rdf:rest Nf991f259f70e44b09987bc6893020c9b
    124 N2b403effe7414f42b648fe6b60a715b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    125 schema:name Diabetes Mellitus, Type 2
    126 rdf:type schema:DefinedTerm
    127 N2d5894e1ba484512b25d7e766b2425d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    128 schema:name Whites
    129 rdf:type schema:DefinedTerm
    130 N409500713feb464f90309e419f71ec9f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name Glucose
    132 rdf:type schema:DefinedTerm
    133 N42121035eb1a4f15862db10ab6b29f12 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    134 schema:name Humans
    135 rdf:type schema:DefinedTerm
    136 N47cc9eebb52d4765995b10e6cf652e53 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    137 schema:name Epigenesis, Genetic
    138 rdf:type schema:DefinedTerm
    139 N5173cf8b64014be3900243e56f58ab02 rdf:first sg:person.0720236373.88
    140 rdf:rest Nfeb56ec44d5c48a09531fe6b49b1d9f7
    141 N59152cebaa1d4e319c311319e675d4bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Female
    143 rdf:type schema:DefinedTerm
    144 N5c6d2673a76349728f69df8bd5dd20de schema:name doi
    145 schema:value 10.1038/s41598-020-77506-z
    146 rdf:type schema:PropertyValue
    147 N5d56e6e615364ab1a709e67b76baf9f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    148 schema:name Lipids
    149 rdf:type schema:DefinedTerm
    150 N6f1d562392e946ecb7ab582f74cc893c rdf:first sg:person.015154651745.75
    151 rdf:rest Nba5ec467fb4f48c18c06560cd3ceba6b
    152 N75df41adc98242e3bb3f20c37e564391 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    153 schema:name Middle Aged
    154 rdf:type schema:DefinedTerm
    155 N82854d695a6e4faa86f3535e165b9e90 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    156 schema:name Aged
    157 rdf:type schema:DefinedTerm
    158 N8cfb421a438e43279ac560f6602fd756 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    159 schema:name Lipid Metabolism
    160 rdf:type schema:DefinedTerm
    161 Na28ebafb311e47dcb11042ff6140e623 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    162 schema:name Epigenomics
    163 rdf:type schema:DefinedTerm
    164 Nb0fde9484db94b0788937bd596691651 rdf:first sg:person.0607616274.03
    165 rdf:rest N6f1d562392e946ecb7ab582f74cc893c
    166 Nb4d40006dba64fd5bbe5ac0ed398b04a schema:name pubmed_id
    167 schema:value 33239708
    168 rdf:type schema:PropertyValue
    169 Nba5ec467fb4f48c18c06560cd3ceba6b rdf:first sg:person.01336625223.12
    170 rdf:rest N1ff70fda8b4a47d8ac795a55387fb9d8
    171 Nbc4ff9f25e094af2abbffec7718d96d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    172 schema:name DNA Methylation
    173 rdf:type schema:DefinedTerm
    174 Nbff6f06fa8584f3e8d565ecb72412305 rdf:first sg:person.015301404517.88
    175 rdf:rest Nf0449795450a4d8caba4bac6f45ff650
    176 Nc2e3507d18404221b1b03842736e163f rdf:first sg:person.01022740164.96
    177 rdf:rest N5173cf8b64014be3900243e56f58ab02
    178 Ncd680029e85e424a8ae230055b9d79f9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    179 schema:name Carrier Proteins
    180 rdf:type schema:DefinedTerm
    181 Nd2381fda6efe4aae8aa7b65bba1e6d77 rdf:first sg:person.01012051565.68
    182 rdf:rest N0b69116cb3504d83ae59a1bc934ad077
    183 Nd2e6972ef53044f1aed59042f2b831f0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    184 schema:name Metabolic Syndrome
    185 rdf:type schema:DefinedTerm
    186 Nd48124cbefe74f348e0fb431ceac8005 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    187 schema:name Genome
    188 rdf:type schema:DefinedTerm
    189 Nd936d13b0221419fbdd5188511f1cde2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    190 schema:name ATP Binding Cassette Transporter, Subfamily G, Member 1
    191 rdf:type schema:DefinedTerm
    192 Ndd7cbc81ddc542bc8185fb7b740843ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    193 schema:name Genome-Wide Association Study
    194 rdf:type schema:DefinedTerm
    195 Ne37aa152abef479da55fdf126e869870 schema:name Springer Nature - SN SciGraph project
    196 rdf:type schema:Organization
    197 Ne689920c3f7d4ed08fa54aa3bde32dcf schema:name dimensions_id
    198 schema:value pub.1132921908
    199 rdf:type schema:PropertyValue
    200 Ne7aec0d0e75148328af7a04957414997 schema:issueNumber 1
    201 rdf:type schema:PublicationIssue
    202 Ne8b4bb5be6ef4570a2764457aef04087 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    203 schema:name Epigenome
    204 rdf:type schema:DefinedTerm
    205 Neae51c2dec434418ae555011192bbc90 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    206 schema:name Finland
    207 rdf:type schema:DefinedTerm
    208 Nf0449795450a4d8caba4bac6f45ff650 rdf:first sg:person.0660107161.47
    209 rdf:rest N1cab0f0a50d3452193014745e6dc4fa9
    210 Nf426946b89a44c7d9f4599f24111e23b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    211 schema:name Polymorphism, Single Nucleotide
    212 rdf:type schema:DefinedTerm
    213 Nf51e562609ca471e8004c4d18fe1d117 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    214 schema:name Adult
    215 rdf:type schema:DefinedTerm
    216 Nf621a2bb4eb24c76ae8985cadbccb358 schema:volumeNumber 10
    217 rdf:type schema:PublicationVolume
    218 Nf77fb6b3ed5a48a2a2781767e73d2982 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    219 schema:name Male
    220 rdf:type schema:DefinedTerm
    221 Nf991f259f70e44b09987bc6893020c9b rdf:first sg:person.01252600521.33
    222 rdf:rest Nbff6f06fa8584f3e8d565ecb72412305
    223 Nfeb56ec44d5c48a09531fe6b49b1d9f7 rdf:first sg:person.01104357207.40
    224 rdf:rest rdf:nil
    225 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    226 schema:name Biological Sciences
    227 rdf:type schema:DefinedTerm
    228 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    229 schema:name Genetics
    230 rdf:type schema:DefinedTerm
    231 sg:grant.3790518 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-020-77506-z
    232 rdf:type schema:MonetaryGrant
    233 sg:grant.3791356 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-020-77506-z
    234 rdf:type schema:MonetaryGrant
    235 sg:grant.3797914 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-020-77506-z
    236 rdf:type schema:MonetaryGrant
    237 sg:grant.4247657 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-020-77506-z
    238 rdf:type schema:MonetaryGrant
    239 sg:grant.4247778 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-020-77506-z
    240 rdf:type schema:MonetaryGrant
    241 sg:grant.4273822 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-020-77506-z
    242 rdf:type schema:MonetaryGrant
    243 sg:grant.4886156 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-020-77506-z
    244 rdf:type schema:MonetaryGrant
    245 sg:grant.5050687 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-020-77506-z
    246 rdf:type schema:MonetaryGrant
    247 sg:grant.5051028 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-020-77506-z
    248 rdf:type schema:MonetaryGrant
    249 sg:grant.5165509 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-020-77506-z
    250 rdf:type schema:MonetaryGrant
    251 sg:grant.5324337 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-020-77506-z
    252 rdf:type schema:MonetaryGrant
    253 sg:grant.8558108 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-020-77506-z
    254 rdf:type schema:MonetaryGrant
    255 sg:grant.9012825 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-020-77506-z
    256 rdf:type schema:MonetaryGrant
    257 sg:journal.1045337 schema:issn 2045-2322
    258 schema:name Scientific Reports
    259 schema:publisher Springer Nature
    260 rdf:type schema:Periodical
    261 sg:person.01012051565.68 schema:affiliation grid-institutes:grid.7737.4
    262 schema:familyName Nuotio
    263 schema:givenName Marja-Liisa
    264 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012051565.68
    265 rdf:type schema:Person
    266 sg:person.01022740164.96 schema:affiliation grid-institutes:grid.14758.3f
    267 schema:familyName Salomaa
    268 schema:givenName Veikko
    269 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022740164.96
    270 rdf:type schema:Person
    271 sg:person.01104357207.40 schema:affiliation grid-institutes:grid.7737.4
    272 schema:familyName Perola
    273 schema:givenName Markus
    274 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01104357207.40
    275 rdf:type schema:Person
    276 sg:person.01120140410.39 schema:affiliation grid-institutes:grid.10939.32
    277 schema:familyName Milani
    278 schema:givenName Lili
    279 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120140410.39
    280 rdf:type schema:Person
    281 sg:person.01156044655.15 schema:affiliation grid-institutes:grid.10939.32
    282 schema:familyName Pervjakova
    283 schema:givenName Natalia
    284 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01156044655.15
    285 rdf:type schema:Person
    286 sg:person.01252600521.33 schema:affiliation grid-institutes:grid.5337.2
    287 schema:familyName Kettunen
    288 schema:givenName Johannes
    289 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01252600521.33
    290 rdf:type schema:Person
    291 sg:person.01313145634.66 schema:affiliation grid-institutes:grid.10939.32
    292 schema:familyName Metspalu
    293 schema:givenName Andres
    294 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313145634.66
    295 rdf:type schema:Person
    296 sg:person.01336625223.12 schema:affiliation grid-institutes:grid.14758.3f
    297 schema:familyName Hiekkalinna
    298 schema:givenName Tero
    299 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336625223.12
    300 rdf:type schema:Person
    301 sg:person.015154651745.75 schema:affiliation grid-institutes:grid.7445.2
    302 schema:familyName Karhunen
    303 schema:givenName Ville
    304 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015154651745.75
    305 rdf:type schema:Person
    306 sg:person.015301404517.88 schema:affiliation grid-institutes:grid.7445.2
    307 schema:familyName Järvelin
    308 schema:givenName Marjo-Riitta
    309 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015301404517.88
    310 rdf:type schema:Person
    311 sg:person.0607616274.03 schema:affiliation grid-institutes:grid.7737.4
    312 schema:familyName Joensuu
    313 schema:givenName Anni
    314 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607616274.03
    315 rdf:type schema:Person
    316 sg:person.0660107161.47 schema:affiliation grid-institutes:grid.14758.3f
    317 schema:familyName Jousilahti
    318 schema:givenName Pekka
    319 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660107161.47
    320 rdf:type schema:Person
    321 sg:person.0720236373.88 schema:affiliation grid-institutes:grid.7737.4
    322 schema:familyName Kristiansson
    323 schema:givenName Kati
    324 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720236373.88
    325 rdf:type schema:Person
    326 sg:pub.10.1007/s00125-015-3773-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034323356
    327 https://doi.org/10.1007/s00125-015-3773-7
    328 rdf:type schema:CreativeWork
    329 sg:pub.10.1007/s00125-017-4497-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092853311
    330 https://doi.org/10.1007/s00125-017-4497-7
    331 rdf:type schema:CreativeWork
    332 sg:pub.10.1007/s11154-014-9293-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048430659
    333 https://doi.org/10.1007/s11154-014-9293-9
    334 rdf:type schema:CreativeWork
    335 sg:pub.10.1038/ng.1019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028769230
    336 https://doi.org/10.1038/ng.1019
    337 rdf:type schema:CreativeWork
    338 sg:pub.10.1186/1471-2105-11-288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023780871
    339 https://doi.org/10.1186/1471-2105-11-288
    340 rdf:type schema:CreativeWork
    341 sg:pub.10.1186/1471-2105-13-86 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047392734
    342 https://doi.org/10.1186/1471-2105-13-86
    343 rdf:type schema:CreativeWork
    344 sg:pub.10.1186/1472-6823-14-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037777078
    345 https://doi.org/10.1186/1472-6823-14-9
    346 rdf:type schema:CreativeWork
    347 sg:pub.10.1186/1755-8794-6-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025570761
    348 https://doi.org/10.1186/1755-8794-6-9
    349 rdf:type schema:CreativeWork
    350 sg:pub.10.1186/gb-2012-13-6-r44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035557760
    351 https://doi.org/10.1186/gb-2012-13-6-r44
    352 rdf:type schema:CreativeWork
    353 sg:pub.10.1186/s12859-019-2804-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113815354
    354 https://doi.org/10.1186/s12859-019-2804-7
    355 rdf:type schema:CreativeWork
    356 sg:pub.10.1186/s13059-015-0600-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1011764120
    357 https://doi.org/10.1186/s13059-015-0600-x
    358 rdf:type schema:CreativeWork
    359 sg:pub.10.1186/s13148-018-0483-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103148833
    360 https://doi.org/10.1186/s13148-018-0483-2
    361 rdf:type schema:CreativeWork
    362 grid-institutes:grid.10939.32 schema:alternateName Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
    363 Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
    364 schema:name Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
    365 Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
    366 rdf:type schema:Organization
    367 grid-institutes:grid.14758.3f schema:alternateName Finnish Institute for Health and Welfare, Helsinki, Finland
    368 Genomics and Biobank Unit, Department of Public Health Solutions, National Institute for Health and Welfare, Biomedicum 1, Haartmaninkatu 8, 00290, Helsinki, Finland
    369 schema:name Finnish Institute for Health and Welfare, Helsinki, Finland
    370 Genomics and Biobank Unit, Department of Public Health Solutions, National Institute for Health and Welfare, Biomedicum 1, Haartmaninkatu 8, 00290, Helsinki, Finland
    371 rdf:type schema:Organization
    372 grid-institutes:grid.5337.2 schema:alternateName Population Health Science, Bristol Medical School, University of Bristol and Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
    373 schema:name Biocenter Oulu, University of Oulu, Oulu, Finland
    374 Center for Life Course Health Research, University of Oulu, Oulu, Finland
    375 Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
    376 Population Health Science, Bristol Medical School, University of Bristol and Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
    377 rdf:type schema:Organization
    378 grid-institutes:grid.7445.2 schema:alternateName Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
    379 schema:name Biocenter Oulu, University of Oulu, Oulu, Finland
    380 Center for Life Course Health Research, University of Oulu, Oulu, Finland
    381 Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
    382 Oulu University Hospital, Oulu, Finland
    383 Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland
    384 rdf:type schema:Organization
    385 grid-institutes:grid.7737.4 schema:alternateName Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
    386 schema:name Genomics and Biobank Unit, Department of Public Health Solutions, National Institute for Health and Welfare, Biomedicum 1, Haartmaninkatu 8, 00290, Helsinki, Finland
    387 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
    388 Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
    389 rdf:type schema:Organization
     




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


    ...