Exploring the molecular basis of age-related disease comorbidities using a multi-omics graphical model View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Jonas Zierer, Tess Pallister, Pei-Chien Tsai, Jan Krumsiek, Jordana T Bell, Gordan Lauc, Tim D Spector, Cristina Menni, Gabi Kastenmüller

ABSTRACT

Although association studies have unveiled numerous correlations of biochemical markers with age and age-related diseases, we still lack an understanding of their mutual dependencies. To find molecular pathways that underlie age-related diseases as well as their comorbidities, we integrated aging markers from four different high-throughput omics datasets, namely epigenomics, transcriptomics, glycomics and metabolomics, with a comprehensive set of disease phenotypes from 510 participants of the TwinsUK cohort. We used graphical random forests to assess conditional dependencies between omics markers and phenotypes while eliminating mediated associations. Applying this novel approach for multi-omics data integration yields a model consisting of seven modules that represent distinct aspects of aging. These modules are connected by hubs that potentially trigger comorbidities of age-related diseases. As an example, we identified urate as one of these key players mediating the comorbidity of renal disease with body composition and obesity. Body composition variables are in turn associated with inflammatory IgG markers, mediated by the expression of the hormone oxytocin. Thus, oxytocin potentially contributes to the development of chronic low-grade inflammation, which often accompanies obesity. Our multi-omics graphical model demonstrates the interconnectivity of age-related diseases and highlights molecular markers of the aging process that might drive disease comorbidities. More... »

PAGES

37646

References to SciGraph publications

  • 2012-09. Anti-inflammatory activity of IgG1 mediated by Fc galactosylation and association of FcγRIIB and dectin-1 in NATURE MEDICINE
  • 2013-07. Gene expression changes with age in skin, adipose tissue, blood and brain in GENOME BIOLOGY
  • 2014-12. Early-onset metabolic syndrome in mice lacking the intestinal uric acid transporter SLC2A9 in NATURE COMMUNICATIONS
  • 2006-10. Adipocytokines: mediators linking adipose tissue, inflammation and immunity in NATURE REVIEWS IMMUNOLOGY
  • 1985-12. Comparing partitions in JOURNAL OF CLASSIFICATION
  • 2014-02. Aging of blood can be tracked by DNA methylation changes at just three CpG sites in GENOME BIOLOGY
  • 2015-12. Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases in SCIENTIFIC REPORTS
  • 2012-10. Mapping cis- and trans-regulatory effects across multiple tissues in twins in NATURE GENETICS
  • 2004-02. Network biology: understanding the cell's functional organization in NATURE REVIEWS GENETICS
  • 2015-06. The Influence of the Gut Microbiome on Obesity, Metabolic Syndrome and Gastrointestinal Disease in CLINICAL AND TRANSLATIONAL GASTROENTEROLOGY
  • 2014-01. Systems genetics approaches to understand complex traits in NATURE REVIEWS GENETICS
  • 2011-12. Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data in BMC SYSTEMS BIOLOGY
  • 2013-10. DNA methylation age of human tissues and cell types in GENOME BIOLOGY
  • 2014-12. Modules, networks and systems medicine for understanding disease and aiding diagnosis in GENOME MEDICINE
  • 2013-02. Chronic kidney disease alters intestinal microbial flora in KIDNEY INTERNATIONAL
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/srep37646

    DOI

    http://dx.doi.org/10.1038/srep37646

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1052388589

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27886242


    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/2008/0601", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biochemistry and Cell Biology", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aging", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Comorbidity", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Metabolomics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Models, Biological", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Proteomics", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Helmholtz Zentrum M\u00fcnchen", 
              "id": "https://www.grid.ac/institutes/grid.4567.0", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, Kings College London, London, United Kingdom.", 
                "Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum M\u00fcnchen, Neuherberg, Germany."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zierer", 
            "givenName": "Jonas", 
            "id": "sg:person.0617452367.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617452367.36"
            ], 
            "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, Kings College London, London, United Kingdom."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pallister", 
            "givenName": "Tess", 
            "id": "sg:person.01071623640.43", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01071623640.43"
            ], 
            "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, Kings College London, London, United Kingdom."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tsai", 
            "givenName": "Pei-Chien", 
            "id": "sg:person.0611266116.45", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611266116.45"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "German Center for Diabetes Research", 
              "id": "https://www.grid.ac/institutes/grid.452622.5", 
              "name": [
                "Institute of Computational Biology, Helmholtz Zentrum M\u00fcnchen, Neuherberg, Germany.", 
                "German Center for Diabetes Research (DZD), Neuherberg, Germany."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Krumsiek", 
            "givenName": "Jan", 
            "id": "sg:person.015172732374.68", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015172732374.68"
            ], 
            "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, Kings College London, London, United Kingdom."
              ], 
              "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"
          }, 
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, Kings College London, London, United Kingdom.", 
                "Genos Glycoscience Research Laboratory, Zagreb, Croatia."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lauc", 
            "givenName": "Gordan", 
            "id": "sg:person.01144047370.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144047370.47"
            ], 
            "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, Kings College London, London, United Kingdom."
              ], 
              "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, Kings College London, London, United Kingdom."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Menni", 
            "givenName": "Cristina", 
            "id": "sg:person.01043744667.67", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043744667.67"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "German Center for Diabetes Research", 
              "id": "https://www.grid.ac/institutes/grid.452622.5", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, Kings College London, London, United Kingdom.", 
                "Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum M\u00fcnchen, Neuherberg, Germany.", 
                "German Center for Diabetes Research (DZD), Neuherberg, Germany."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kastenm\u00fcller", 
            "givenName": "Gabi", 
            "id": "sg:person.0620106734.75", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0620106734.75"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1183/09031936.05.00034805", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001164602"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/gerona/glu121", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002376307"
            ], 
            "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": "https://doi.org/10.1093/ndt/gft029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003928840"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13073-014-0082-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004091706", 
              "https://doi.org/10.1186/s13073-014-0082-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13073-014-0082-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004091706", 
              "https://doi.org/10.1186/s13073-014-0082-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ctg.2015.16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005269604", 
              "https://doi.org/10.1038/ctg.2015.16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.csda.2013.02.022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009360444"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ki.2012.345", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010128172", 
              "https://doi.org/10.1038/ki.2012.345"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1079/phn2000102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011263013"
            ], 
            "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": "https://doi.org/10.1016/s0026-0495(97)90283-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012604857"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1467-9868.2011.01034.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012681255"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.physbeh.2004.09.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015004393"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/ije/dyt094", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015074772"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep15145", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015140542", 
              "https://doi.org/10.1038/srep15145"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0002051", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015206860"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.diabres.2014.04.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018022651"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg1272", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018231980", 
              "https://doi.org/10.1038/nrg1272"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg1272", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018231980", 
              "https://doi.org/10.1038/nrg1272"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri1937", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018278870", 
              "https://doi.org/10.1038/nri1937"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri1937", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018278870", 
              "https://doi.org/10.1038/nri1937"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/msb.2009.16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018761146"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/msb.2009.16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018761146"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.220392197", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019479023"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2014-15-2-r24", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019605077", 
              "https://doi.org/10.1186/gb-2014-15-2-r24"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2202/1544-6115.1128", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020363278"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.physrep.2009.11.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020482279"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/gerona/glt190", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021386486"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01908075", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022323983", 
              "https://doi.org/10.1007/bf01908075"
            ], 
            "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/10.1016/j.peptides.2013.04.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022576752"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0082558", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024841713"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/acel.12386", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027413828"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1681/asn.2015010109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028592118"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1681/asn.2015010109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028592118"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1752-0509-5-21", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029129105", 
              "https://doi.org/10.1186/1752-0509-5-21"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0061477", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029304810"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg3575", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029459184", 
              "https://doi.org/10.1038/nrg3575"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tics.2011.05.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029884791"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.arr.2012.02.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030765192"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2337/diacare.26.1.48", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030854985"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.15252/msb.20145399", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031159309"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/oby.21069", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032129783"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1074/mcp.m111.010090", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033310412"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/01.hyp.0000091371.53502.d3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033476301"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/01.hyp.0000091371.53502.d3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033476301"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0140-6736(09)61255-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033532298"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1053/ajkd.2003.50007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033735392"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1053/ajkd.2003.50007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033735392"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1182/blood-2009-07-230631", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034280378"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2013-14-7-r75", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035027502", 
              "https://doi.org/10.1186/gb-2013-14-7-r75"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0026-0495(97)90210-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035404973"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0802208105", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035556902"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms5642", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038348544", 
              "https://doi.org/10.1038/ncomms5642"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/bmj.a2467", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039493382"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.amjcard.2007.06.049", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039576224"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1375/twin.10.5.734", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040602327"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.97.8.4279", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040622803"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1633724100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042033943"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bbadis.2005.12.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046547381"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1152/ajpendo.90718.2008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048071222"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/oby.21488", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049491491"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.2862", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050789578", 
              "https://doi.org/10.1038/nm.2862"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0025565", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050790451"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/jmg.2006.041376", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052810524"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0701361104", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053516074"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/003655101316911378", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058282569"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tkde.2007.190689", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061661739"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1210/jc.75.4.1002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064296523"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1210/jcem.75.4.1400863", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064317776"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18637/jss.v045.i02", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068672673"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18637/jss.v045.i03", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068672674"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7326/0003-4819-150-9-200905050-00006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1073710774"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1077479900", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/ajcn/87.1.30", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1077586323"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-12", 
        "datePublishedReg": "2016-12-01", 
        "description": "Although association studies have unveiled numerous correlations of biochemical markers with age and age-related diseases, we still lack an understanding of their mutual dependencies. To find molecular pathways that underlie age-related diseases as well as their comorbidities, we integrated aging markers from four different high-throughput omics datasets, namely epigenomics, transcriptomics, glycomics and metabolomics, with a comprehensive set of disease phenotypes from 510 participants of the TwinsUK cohort. We used graphical random forests to assess conditional dependencies between omics markers and phenotypes while eliminating mediated associations. Applying this novel approach for multi-omics data integration yields a model consisting of seven modules that represent distinct aspects of aging. These modules are connected by hubs that potentially trigger comorbidities of age-related diseases. As an example, we identified urate as one of these key players mediating the comorbidity of renal disease with body composition and obesity. Body composition variables are in turn associated with inflammatory IgG markers, mediated by the expression of the hormone oxytocin. Thus, oxytocin potentially contributes to the development of chronic low-grade inflammation, which often accompanies obesity. Our multi-omics graphical model demonstrates the interconnectivity of age-related diseases and highlights molecular markers of the aging process that might drive disease comorbidities.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/srep37646", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.4295451", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4294834", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4106805", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1045337", 
            "issn": [
              "2045-2322"
            ], 
            "name": "Scientific Reports", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "6"
          }
        ], 
        "name": "Exploring the molecular basis of age-related disease comorbidities using a multi-omics graphical model", 
        "pagination": "37646", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "f98b58bab4c92cf63efe9c331fa0c1fd8dbb3a6bab9b9253f252eb1a72d4a971"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "27886242"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101563288"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/srep37646"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1052388589"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/srep37646", 
          "https://app.dimensions.ai/details/publication/pub.1052388589"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T15:58", 
        "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_8664_00000551.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://www.nature.com/srep/2016/161125/srep37646/full/srep37646.html"
      }
    ]
     

    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/srep37646'

    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/srep37646'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep37646'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep37646'


     

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

    386 TRIPLES      21 PREDICATES      104 URIs      27 LITERALS      15 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/srep37646 schema:about N1677aa742ab9480a95cd03519b8f7654
    2 N44905cf1b0c74241bdad59b1a8f21764
    3 N802ab3b6407146a1b551f1812e8c4f18
    4 Nb9fcc164cd054621a548edf05aa19301
    5 Nd64e81a2f7ed4b6c92ded7d324e096fc
    6 Nee520e3674f24f3a9161bba3fed96bd8
    7 anzsrc-for:06
    8 anzsrc-for:0601
    9 schema:author N562b8f1c59b04943a9cac37bb3426d96
    10 schema:citation sg:pub.10.1007/bf01908075
    11 sg:pub.10.1038/ctg.2015.16
    12 sg:pub.10.1038/ki.2012.345
    13 sg:pub.10.1038/ncomms5642
    14 sg:pub.10.1038/ng.2394
    15 sg:pub.10.1038/nm.2862
    16 sg:pub.10.1038/nrg1272
    17 sg:pub.10.1038/nrg3575
    18 sg:pub.10.1038/nri1937
    19 sg:pub.10.1038/srep15145
    20 sg:pub.10.1186/1752-0509-5-21
    21 sg:pub.10.1186/gb-2013-14-10-r115
    22 sg:pub.10.1186/gb-2013-14-7-r75
    23 sg:pub.10.1186/gb-2014-15-2-r24
    24 sg:pub.10.1186/s13073-014-0082-6
    25 https://app.dimensions.ai/details/publication/pub.1077479900
    26 https://doi.org/10.1002/oby.21069
    27 https://doi.org/10.1002/oby.21488
    28 https://doi.org/10.1016/j.ajhg.2013.10.004
    29 https://doi.org/10.1016/j.amjcard.2007.06.049
    30 https://doi.org/10.1016/j.arr.2012.02.002
    31 https://doi.org/10.1016/j.bbadis.2005.12.009
    32 https://doi.org/10.1016/j.csda.2013.02.022
    33 https://doi.org/10.1016/j.diabres.2014.04.006
    34 https://doi.org/10.1016/j.peptides.2013.04.010
    35 https://doi.org/10.1016/j.physbeh.2004.09.016
    36 https://doi.org/10.1016/j.physrep.2009.11.002
    37 https://doi.org/10.1016/j.tics.2011.05.002
    38 https://doi.org/10.1016/s0026-0495(97)90210-9
    39 https://doi.org/10.1016/s0026-0495(97)90283-3
    40 https://doi.org/10.1016/s0140-6736(09)61255-1
    41 https://doi.org/10.1038/msb.2009.16
    42 https://doi.org/10.1053/ajkd.2003.50007
    43 https://doi.org/10.1073/pnas.0701361104
    44 https://doi.org/10.1073/pnas.0802208105
    45 https://doi.org/10.1073/pnas.1633724100
    46 https://doi.org/10.1073/pnas.220392197
    47 https://doi.org/10.1073/pnas.97.8.4279
    48 https://doi.org/10.1074/mcp.m111.010090
    49 https://doi.org/10.1079/phn2000102
    50 https://doi.org/10.1080/003655101316911378
    51 https://doi.org/10.1093/ajcn/87.1.30
    52 https://doi.org/10.1093/gerona/glt190
    53 https://doi.org/10.1093/gerona/glu121
    54 https://doi.org/10.1093/ije/dyt094
    55 https://doi.org/10.1093/ndt/gft029
    56 https://doi.org/10.1109/tkde.2007.190689
    57 https://doi.org/10.1111/acel.12386
    58 https://doi.org/10.1111/j.1467-9868.2011.01034.x
    59 https://doi.org/10.1136/bmj.a2467
    60 https://doi.org/10.1136/jmg.2006.041376
    61 https://doi.org/10.1152/ajpendo.90718.2008
    62 https://doi.org/10.1161/01.hyp.0000091371.53502.d3
    63 https://doi.org/10.1182/blood-2009-07-230631
    64 https://doi.org/10.1183/09031936.05.00034805
    65 https://doi.org/10.1210/jc.75.4.1002
    66 https://doi.org/10.1210/jcem.75.4.1400863
    67 https://doi.org/10.1371/journal.pone.0002051
    68 https://doi.org/10.1371/journal.pone.0025565
    69 https://doi.org/10.1371/journal.pone.0061477
    70 https://doi.org/10.1371/journal.pone.0082558
    71 https://doi.org/10.1375/twin.10.5.734
    72 https://doi.org/10.15252/msb.20145399
    73 https://doi.org/10.1681/asn.2015010109
    74 https://doi.org/10.18637/jss.v045.i02
    75 https://doi.org/10.18637/jss.v045.i03
    76 https://doi.org/10.2202/1544-6115.1128
    77 https://doi.org/10.2337/diacare.26.1.48
    78 https://doi.org/10.7326/0003-4819-150-9-200905050-00006
    79 schema:datePublished 2016-12
    80 schema:datePublishedReg 2016-12-01
    81 schema:description Although association studies have unveiled numerous correlations of biochemical markers with age and age-related diseases, we still lack an understanding of their mutual dependencies. To find molecular pathways that underlie age-related diseases as well as their comorbidities, we integrated aging markers from four different high-throughput omics datasets, namely epigenomics, transcriptomics, glycomics and metabolomics, with a comprehensive set of disease phenotypes from 510 participants of the TwinsUK cohort. We used graphical random forests to assess conditional dependencies between omics markers and phenotypes while eliminating mediated associations. Applying this novel approach for multi-omics data integration yields a model consisting of seven modules that represent distinct aspects of aging. These modules are connected by hubs that potentially trigger comorbidities of age-related diseases. As an example, we identified urate as one of these key players mediating the comorbidity of renal disease with body composition and obesity. Body composition variables are in turn associated with inflammatory IgG markers, mediated by the expression of the hormone oxytocin. Thus, oxytocin potentially contributes to the development of chronic low-grade inflammation, which often accompanies obesity. Our multi-omics graphical model demonstrates the interconnectivity of age-related diseases and highlights molecular markers of the aging process that might drive disease comorbidities.
    82 schema:genre research_article
    83 schema:inLanguage en
    84 schema:isAccessibleForFree true
    85 schema:isPartOf N83365a0964254800bf9595d8ee67ddad
    86 Ne836b3a300a044c288bbc088f3340349
    87 sg:journal.1045337
    88 schema:name Exploring the molecular basis of age-related disease comorbidities using a multi-omics graphical model
    89 schema:pagination 37646
    90 schema:productId N3b685f6f050f4043b3171cbe30f76084
    91 N63ed73c0310743ce817cad9d98ef7b7b
    92 N82956991facb47bb8de133e794738e8a
    93 Na1e02b0ad7c646d3842176a034a3f5ae
    94 Ned25e0bdd96644fe81ae264a4b00b4a4
    95 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052388589
    96 https://doi.org/10.1038/srep37646
    97 schema:sdDatePublished 2019-04-10T15:58
    98 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    99 schema:sdPublisher Ndbd2ca33989940539cc076c3b659c59e
    100 schema:url http://www.nature.com/srep/2016/161125/srep37646/full/srep37646.html
    101 sgo:license sg:explorer/license/
    102 sgo:sdDataset articles
    103 rdf:type schema:ScholarlyArticle
    104 N085f8140fb9a445f84672c73deb872c5 rdf:first sg:person.0620106734.75
    105 rdf:rest rdf:nil
    106 N1677aa742ab9480a95cd03519b8f7654 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    107 schema:name Comorbidity
    108 rdf:type schema:DefinedTerm
    109 N22157174e5854dcabf02ed69955fa0c0 rdf:first sg:person.01071623640.43
    110 rdf:rest N58868504693f4a52b364b9fe52e44818
    111 N27c5b128206647ac9ac0de56a3601f1f rdf:first sg:person.01144047370.47
    112 rdf:rest Neb52ef34b3ea4d06ad4ba7712832eabf
    113 N3b685f6f050f4043b3171cbe30f76084 schema:name readcube_id
    114 schema:value f98b58bab4c92cf63efe9c331fa0c1fd8dbb3a6bab9b9253f252eb1a72d4a971
    115 rdf:type schema:PropertyValue
    116 N44905cf1b0c74241bdad59b1a8f21764 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Humans
    118 rdf:type schema:DefinedTerm
    119 N562b8f1c59b04943a9cac37bb3426d96 rdf:first sg:person.0617452367.36
    120 rdf:rest N22157174e5854dcabf02ed69955fa0c0
    121 N58868504693f4a52b364b9fe52e44818 rdf:first sg:person.0611266116.45
    122 rdf:rest Nb10460676e0a4ed08ddcbbcf0095bb6f
    123 N63ed73c0310743ce817cad9d98ef7b7b schema:name pubmed_id
    124 schema:value 27886242
    125 rdf:type schema:PropertyValue
    126 N802ab3b6407146a1b551f1812e8c4f18 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    127 schema:name Aging
    128 rdf:type schema:DefinedTerm
    129 N82956991facb47bb8de133e794738e8a schema:name dimensions_id
    130 schema:value pub.1052388589
    131 rdf:type schema:PropertyValue
    132 N83365a0964254800bf9595d8ee67ddad schema:issueNumber 1
    133 rdf:type schema:PublicationIssue
    134 Na1e02b0ad7c646d3842176a034a3f5ae schema:name doi
    135 schema:value 10.1038/srep37646
    136 rdf:type schema:PropertyValue
    137 Na661e32abc4a4d3cbfe2b9418904e88e rdf:first sg:person.01043744667.67
    138 rdf:rest N085f8140fb9a445f84672c73deb872c5
    139 Nb10460676e0a4ed08ddcbbcf0095bb6f rdf:first sg:person.015172732374.68
    140 rdf:rest Nddf855d6273f48b7a45fcf19f3c6569a
    141 Nb9fcc164cd054621a548edf05aa19301 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Models, Biological
    143 rdf:type schema:DefinedTerm
    144 Nd64e81a2f7ed4b6c92ded7d324e096fc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    145 schema:name Metabolomics
    146 rdf:type schema:DefinedTerm
    147 Ndbd2ca33989940539cc076c3b659c59e schema:name Springer Nature - SN SciGraph project
    148 rdf:type schema:Organization
    149 Nddf855d6273f48b7a45fcf19f3c6569a rdf:first sg:person.012420471572.13
    150 rdf:rest N27c5b128206647ac9ac0de56a3601f1f
    151 Ne836b3a300a044c288bbc088f3340349 schema:volumeNumber 6
    152 rdf:type schema:PublicationVolume
    153 Neb52ef34b3ea4d06ad4ba7712832eabf rdf:first sg:person.014424006237.85
    154 rdf:rest Na661e32abc4a4d3cbfe2b9418904e88e
    155 Ned25e0bdd96644fe81ae264a4b00b4a4 schema:name nlm_unique_id
    156 schema:value 101563288
    157 rdf:type schema:PropertyValue
    158 Nee520e3674f24f3a9161bba3fed96bd8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    159 schema:name Proteomics
    160 rdf:type schema:DefinedTerm
    161 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    162 schema:name Biological Sciences
    163 rdf:type schema:DefinedTerm
    164 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
    165 schema:name Biochemistry and Cell Biology
    166 rdf:type schema:DefinedTerm
    167 sg:grant.4106805 http://pending.schema.org/fundedItem sg:pub.10.1038/srep37646
    168 rdf:type schema:MonetaryGrant
    169 sg:grant.4294834 http://pending.schema.org/fundedItem sg:pub.10.1038/srep37646
    170 rdf:type schema:MonetaryGrant
    171 sg:grant.4295451 http://pending.schema.org/fundedItem sg:pub.10.1038/srep37646
    172 rdf:type schema:MonetaryGrant
    173 sg:journal.1045337 schema:issn 2045-2322
    174 schema:name Scientific Reports
    175 rdf:type schema:Periodical
    176 sg:person.01043744667.67 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    177 schema:familyName Menni
    178 schema:givenName Cristina
    179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043744667.67
    180 rdf:type schema:Person
    181 sg:person.01071623640.43 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    182 schema:familyName Pallister
    183 schema:givenName Tess
    184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01071623640.43
    185 rdf:type schema:Person
    186 sg:person.01144047370.47 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    187 schema:familyName Lauc
    188 schema:givenName Gordan
    189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144047370.47
    190 rdf:type schema:Person
    191 sg:person.012420471572.13 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    192 schema:familyName Bell
    193 schema:givenName Jordana T
    194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012420471572.13
    195 rdf:type schema:Person
    196 sg:person.014424006237.85 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    197 schema:familyName Spector
    198 schema:givenName Tim D
    199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014424006237.85
    200 rdf:type schema:Person
    201 sg:person.015172732374.68 schema:affiliation https://www.grid.ac/institutes/grid.452622.5
    202 schema:familyName Krumsiek
    203 schema:givenName Jan
    204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015172732374.68
    205 rdf:type schema:Person
    206 sg:person.0611266116.45 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    207 schema:familyName Tsai
    208 schema:givenName Pei-Chien
    209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611266116.45
    210 rdf:type schema:Person
    211 sg:person.0617452367.36 schema:affiliation https://www.grid.ac/institutes/grid.4567.0
    212 schema:familyName Zierer
    213 schema:givenName Jonas
    214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617452367.36
    215 rdf:type schema:Person
    216 sg:person.0620106734.75 schema:affiliation https://www.grid.ac/institutes/grid.452622.5
    217 schema:familyName Kastenmüller
    218 schema:givenName Gabi
    219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0620106734.75
    220 rdf:type schema:Person
    221 sg:pub.10.1007/bf01908075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022323983
    222 https://doi.org/10.1007/bf01908075
    223 rdf:type schema:CreativeWork
    224 sg:pub.10.1038/ctg.2015.16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005269604
    225 https://doi.org/10.1038/ctg.2015.16
    226 rdf:type schema:CreativeWork
    227 sg:pub.10.1038/ki.2012.345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010128172
    228 https://doi.org/10.1038/ki.2012.345
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1038/ncomms5642 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038348544
    231 https://doi.org/10.1038/ncomms5642
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1038/ng.2394 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003718794
    234 https://doi.org/10.1038/ng.2394
    235 rdf:type schema:CreativeWork
    236 sg:pub.10.1038/nm.2862 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050789578
    237 https://doi.org/10.1038/nm.2862
    238 rdf:type schema:CreativeWork
    239 sg:pub.10.1038/nrg1272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018231980
    240 https://doi.org/10.1038/nrg1272
    241 rdf:type schema:CreativeWork
    242 sg:pub.10.1038/nrg3575 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029459184
    243 https://doi.org/10.1038/nrg3575
    244 rdf:type schema:CreativeWork
    245 sg:pub.10.1038/nri1937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018278870
    246 https://doi.org/10.1038/nri1937
    247 rdf:type schema:CreativeWork
    248 sg:pub.10.1038/srep15145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015140542
    249 https://doi.org/10.1038/srep15145
    250 rdf:type schema:CreativeWork
    251 sg:pub.10.1186/1752-0509-5-21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029129105
    252 https://doi.org/10.1186/1752-0509-5-21
    253 rdf:type schema:CreativeWork
    254 sg:pub.10.1186/gb-2013-14-10-r115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012339256
    255 https://doi.org/10.1186/gb-2013-14-10-r115
    256 rdf:type schema:CreativeWork
    257 sg:pub.10.1186/gb-2013-14-7-r75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035027502
    258 https://doi.org/10.1186/gb-2013-14-7-r75
    259 rdf:type schema:CreativeWork
    260 sg:pub.10.1186/gb-2014-15-2-r24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019605077
    261 https://doi.org/10.1186/gb-2014-15-2-r24
    262 rdf:type schema:CreativeWork
    263 sg:pub.10.1186/s13073-014-0082-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004091706
    264 https://doi.org/10.1186/s13073-014-0082-6
    265 rdf:type schema:CreativeWork
    266 https://app.dimensions.ai/details/publication/pub.1077479900 schema:CreativeWork
    267 https://doi.org/10.1002/oby.21069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032129783
    268 rdf:type schema:CreativeWork
    269 https://doi.org/10.1002/oby.21488 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049491491
    270 rdf:type schema:CreativeWork
    271 https://doi.org/10.1016/j.ajhg.2013.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022477774
    272 rdf:type schema:CreativeWork
    273 https://doi.org/10.1016/j.amjcard.2007.06.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039576224
    274 rdf:type schema:CreativeWork
    275 https://doi.org/10.1016/j.arr.2012.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030765192
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.1016/j.bbadis.2005.12.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046547381
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.1016/j.csda.2013.02.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009360444
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.1016/j.diabres.2014.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018022651
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.1016/j.peptides.2013.04.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022576752
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.1016/j.physbeh.2004.09.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015004393
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1016/j.physrep.2009.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020482279
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1016/j.tics.2011.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029884791
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.1016/s0026-0495(97)90210-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035404973
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1016/s0026-0495(97)90283-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012604857
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1016/s0140-6736(09)61255-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033532298
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1038/msb.2009.16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018761146
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1053/ajkd.2003.50007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033735392
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1073/pnas.0701361104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053516074
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1073/pnas.0802208105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035556902
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1073/pnas.1633724100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042033943
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.1073/pnas.220392197 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019479023
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1073/pnas.97.8.4279 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040622803
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1074/mcp.m111.010090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033310412
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1079/phn2000102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011263013
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1080/003655101316911378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058282569
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1093/ajcn/87.1.30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077586323
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1093/gerona/glt190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021386486
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1093/gerona/glu121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002376307
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1093/ije/dyt094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015074772
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1093/ndt/gft029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003928840
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1109/tkde.2007.190689 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061661739
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1111/acel.12386 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027413828
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1111/j.1467-9868.2011.01034.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012681255
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1136/bmj.a2467 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039493382
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1136/jmg.2006.041376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052810524
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1152/ajpendo.90718.2008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048071222
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1161/01.hyp.0000091371.53502.d3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033476301
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1182/blood-2009-07-230631 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034280378
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1183/09031936.05.00034805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001164602
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1210/jc.75.4.1002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064296523
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1210/jcem.75.4.1400863 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064317776
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1371/journal.pone.0002051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015206860
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1371/journal.pone.0025565 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050790451
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1371/journal.pone.0061477 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029304810
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1371/journal.pone.0082558 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024841713
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1375/twin.10.5.734 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040602327
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.15252/msb.20145399 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031159309
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.1681/asn.2015010109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028592118
    362 rdf:type schema:CreativeWork
    363 https://doi.org/10.18637/jss.v045.i02 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068672673
    364 rdf:type schema:CreativeWork
    365 https://doi.org/10.18637/jss.v045.i03 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068672674
    366 rdf:type schema:CreativeWork
    367 https://doi.org/10.2202/1544-6115.1128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020363278
    368 rdf:type schema:CreativeWork
    369 https://doi.org/10.2337/diacare.26.1.48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030854985
    370 rdf:type schema:CreativeWork
    371 https://doi.org/10.7326/0003-4819-150-9-200905050-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073710774
    372 rdf:type schema:CreativeWork
    373 https://www.grid.ac/institutes/grid.13097.3c schema:alternateName King's College London
    374 schema:name Department of Twin Research and Genetic Epidemiology, Kings College London, London, United Kingdom.
    375 Genos Glycoscience Research Laboratory, Zagreb, Croatia.
    376 rdf:type schema:Organization
    377 https://www.grid.ac/institutes/grid.452622.5 schema:alternateName German Center for Diabetes Research
    378 schema:name Department of Twin Research and Genetic Epidemiology, Kings College London, London, United Kingdom.
    379 German Center for Diabetes Research (DZD), Neuherberg, Germany.
    380 Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany.
    381 Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.
    382 rdf:type schema:Organization
    383 https://www.grid.ac/institutes/grid.4567.0 schema:alternateName Helmholtz Zentrum München
    384 schema:name Department of Twin Research and Genetic Epidemiology, Kings College London, London, United Kingdom.
    385 Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany.
    386 rdf:type schema:Organization
     




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


    ...