Exploring genetic variants predisposing to diabetes mellitus and their association with indicators of socioeconomic status View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Börge Schmidt, Nico Dragano, André Scherag, Sonali Pechlivanis, Per Hoffmann, Markus M Nöthen, Raimund Erbel, Karl-Heinz Jöckel, Susanne Moebus

ABSTRACT

BACKGROUND: The relevance of disease-related genetic variants for the explanation of social inequalities in complex diseases is unclear and empirical analyses are largely missing. The aim of our study was to examine whether genetic variants predisposing to diabetes mellitus are associated with socioeconomic status in a population-based cohort. METHODS: We genotyped 11 selected diabetes-related single nucleotide polymorphisms in 4655 participants (age 45-75 years) of the Heinz Nixdorf Recall study. Diabetes status was self-reported or defined by blood glucose levels. Education, income and paternal occupation were assessed as indicators of socioeconomic status. Multiple regression analyses were used to examine the association of socioeconomic status and diabetes by estimating sex-specific and age-adjusted prevalence ratios and their corresponding 95%-confidence intervals. To explore the relationship between individual single nucleotide polymorphisms and socioeconomic status sex- and age-adjusted odds ratios were computed. We adjusted the alpha-level for multiple testing of 11 single nucleotide polymorphisms using Bonferroni's method (α(BF) ~ 0.005). In addition, we explored the association of a genetic risk score with socioeconomic status. RESULTS: Social inequalities in diabetes were observed for all indicators of socioeconomic status. However, there were no significant associations between individual diabetes-related risk alleles and socioeconomic status with odds ratios ranging from 0.87 to 1.23. Similarly, the genetic risk score analysis revealed no evidence for an association. CONCLUSIONS: Our data provide no evidence for an association between 11 diabetes-related risk alleles and different indicators of socioeconomic status in a population-based cohort, suggesting that the explored genetic variants do not contribute to health inequalities in diabetes. More... »

PAGES

609

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2458-14-609

DOI

http://dx.doi.org/10.1186/1471-2458-14-609

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022162026

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24935819


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diabetes Mellitus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Predisposition to Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Germany", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Healthcare Disparities", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Odds Ratio", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prevalence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Socioeconomic Factors", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Duisburg-Essen", 
          "id": "https://www.grid.ac/institutes/grid.5718.b", 
          "name": [
            "Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstra\u00dfe 55, 45147, Essen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schmidt", 
        "givenName": "B\u00f6rge", 
        "id": "sg:person.0627640046.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627640046.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Heinrich Heine University D\u00fcsseldorf", 
          "id": "https://www.grid.ac/institutes/grid.411327.2", 
          "name": [
            "Institute for Medical Sociology, Medical Faculty, University of D\u00fcsseldorf, D\u00fcsseldorf, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dragano", 
        "givenName": "Nico", 
        "id": "sg:person.0745133536.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745133536.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jena University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.275559.9", 
          "name": [
            "Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstra\u00dfe 55, 45147, Essen, Germany", 
            "Clinical Epidemiology, Integrated Research and Treatment Center, Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Scherag", 
        "givenName": "Andr\u00e9", 
        "id": "sg:person.0735343076.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735343076.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Duisburg-Essen", 
          "id": "https://www.grid.ac/institutes/grid.5718.b", 
          "name": [
            "Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstra\u00dfe 55, 45147, Essen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pechlivanis", 
        "givenName": "Sonali", 
        "id": "sg:person.01367101560.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367101560.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bonn", 
          "id": "https://www.grid.ac/institutes/grid.10388.32", 
          "name": [
            "Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany", 
            "Institute of Human Genetics, University of Bonn, Bonn, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hoffmann", 
        "givenName": "Per", 
        "id": "sg:person.01346361351.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346361351.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bonn", 
          "id": "https://www.grid.ac/institutes/grid.10388.32", 
          "name": [
            "Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany", 
            "Institute of Human Genetics, University of Bonn, Bonn, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "N\u00f6then", 
        "givenName": "Markus M", 
        "id": "sg:person.01072523061.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072523061.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "West-German Heart Center Essen, Department of Cardiology, University of Duisburg-Essen, Essen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Erbel", 
        "givenName": "Raimund", 
        "id": "sg:person.0750633205.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750633205.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Duisburg-Essen", 
          "id": "https://www.grid.ac/institutes/grid.5718.b", 
          "name": [
            "Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstra\u00dfe 55, 45147, Essen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "J\u00f6ckel", 
        "givenName": "Karl-Heinz", 
        "id": "sg:person.01110577373.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110577373.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Duisburg-Essen", 
          "id": "https://www.grid.ac/institutes/grid.5718.b", 
          "name": [
            "Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstra\u00dfe 55, 45147, Essen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moebus", 
        "givenName": "Susanne", 
        "id": "sg:person.01260346064.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260346064.17"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1471-2458-10-525", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002499331", 
          "https://doi.org/10.1186/1471-2458-10-525"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-9566.1993.tb00328.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005528141"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-9566.1993.tb00328.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005528141"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/atvbaha.110.208496", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008038166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/atvbaha.110.208496", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008038166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(08)61690-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009490371"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.psych.031809.130711", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009810950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0005069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010747425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jech.2004.026807", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010779049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.2383", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011024359", 
          "https://doi.org/10.1038/ng.2383"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dyg075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011385381"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2554", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011407465", 
          "https://doi.org/10.1038/nrg2554"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2554", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011407465", 
          "https://doi.org/10.1038/nrg2554"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dyh386", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011533272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jech.2009.102517", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014416607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0277-9536(03)00097-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014650321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0277-9536(03)00097-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014650321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jech.2009.106492", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016184276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/519795", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019061180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0903103106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020299353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-005-5529-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020994529", 
          "https://doi.org/10.1007/s10654-005-5529-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-005-5529-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020994529", 
          "https://doi.org/10.1007/s10654-005-5529-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dyp262", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022019867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05616", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022931325", 
          "https://doi.org/10.1038/nature05616"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jech.2005.041319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024696872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1067/mhj.2002.123579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025352726"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dyl266", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030068064"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-007-0753-5_102084", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034251831", 
          "https://doi.org/10.1007/978-94-007-0753-5_102084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jech.57.10.778", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034697372"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0277-9536(96)00187-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036180199"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4419-9186-7_10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038176105", 
          "https://doi.org/10.1007/978-1-4419-9186-7_10"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dym244", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040801045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.609", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041224776", 
          "https://doi.org/10.1038/ng.609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.609", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041224776", 
          "https://doi.org/10.1038/ng.609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-008-1146-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041623557", 
          "https://doi.org/10.1007/s00125-008-1146-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-008-1146-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041623557", 
          "https://doi.org/10.1007/s00125-008-1146-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-008-1146-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041623557", 
          "https://doi.org/10.1007/s00125-008-1146-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jech.2004.023531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044856203"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jech.56.7.529", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050524715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dyr029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053005172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1467-9566.ep11343777", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061835493"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1142382", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062456032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/80.4.815", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076942100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/acprof:oso/9780198568162.001.0001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098736783"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "BACKGROUND: The relevance of disease-related genetic variants for the explanation of social inequalities in complex diseases is unclear and empirical analyses are largely missing. The aim of our study was to examine whether genetic variants predisposing to diabetes mellitus are associated with socioeconomic status in a population-based cohort.\nMETHODS: We genotyped 11 selected diabetes-related single nucleotide polymorphisms in 4655 participants (age 45-75 years) of the Heinz Nixdorf Recall study. Diabetes status was self-reported or defined by blood glucose levels. Education, income and paternal occupation were assessed as indicators of socioeconomic status. Multiple regression analyses were used to examine the association of socioeconomic status and diabetes by estimating sex-specific and age-adjusted prevalence ratios and their corresponding 95%-confidence intervals. To explore the relationship between individual single nucleotide polymorphisms and socioeconomic status sex- and age-adjusted odds ratios were computed. We adjusted the alpha-level for multiple testing of 11 single nucleotide polymorphisms using Bonferroni's method (\u03b1(BF)\u2009~\u20090.005). In addition, we explored the association of a genetic risk score with socioeconomic status.\nRESULTS: Social inequalities in diabetes were observed for all indicators of socioeconomic status. However, there were no significant associations between individual diabetes-related risk alleles and socioeconomic status with odds ratios ranging from 0.87 to 1.23. Similarly, the genetic risk score analysis revealed no evidence for an association.\nCONCLUSIONS: Our data provide no evidence for an association between 11 diabetes-related risk alleles and different indicators of socioeconomic status in a population-based cohort, suggesting that the explored genetic variants do not contribute to health inequalities in diabetes.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2458-14-609", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5770382", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1024954", 
        "issn": [
          "1471-2458"
        ], 
        "name": "BMC Public Health", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "14"
      }
    ], 
    "name": "Exploring genetic variants predisposing to diabetes mellitus and their association with indicators of socioeconomic status", 
    "pagination": "609", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6995dfc2e77125732ebf8c38add37603646b26310da47368087a9a2c992f8bd9"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24935819"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100968562"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2458-14-609"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1022162026"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2458-14-609", 
      "https://app.dimensions.ai/details/publication/pub.1022162026"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:31", 
    "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_8672_00000512.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2458-14-609"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1471-2458-14-609'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2458-14-609'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2458-14-609'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2458-14-609'


 

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

308 TRIPLES      21 PREDICATES      78 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2458-14-609 schema:about N1ba5000c2e9c41968399beced6f7a0d9
2 N563b8fec155641fd9761c2632982af26
3 N59327ad5bfb341a387eb8f82833dd87b
4 N610d4805fcea4239904827382d7ddadd
5 N6a4a709d4a73475a85f24649adbeb17a
6 N98cbecaca35545378cf4540a9c02d8a5
7 N9c3a35aefc5c46e8827ed29b5dc77ece
8 Nb3a6435b48004f09b23938aa7950edc2
9 Ncab064b7a71843f887bfdaf53a30aa5c
10 Ndf3acb47a4904531bbb539ca01518eaa
11 Ne10b1f5fda84414799949bbe3f756930
12 Nf32c5670766f43ed9e68f5f933ae900d
13 Nfa9ea617b52a45f8b12fb3117be02291
14 anzsrc-for:11
15 anzsrc-for:1117
16 schema:author Ne7651b1dcde04a43acdab5e56a22bdee
17 schema:citation sg:pub.10.1007/978-1-4419-9186-7_10
18 sg:pub.10.1007/978-94-007-0753-5_102084
19 sg:pub.10.1007/s00125-008-1146-1
20 sg:pub.10.1007/s10654-005-5529-z
21 sg:pub.10.1038/nature05616
22 sg:pub.10.1038/ng.2383
23 sg:pub.10.1038/ng.609
24 sg:pub.10.1038/nrg2554
25 sg:pub.10.1186/1471-2458-10-525
26 https://doi.org/10.1016/s0140-6736(08)61690-6
27 https://doi.org/10.1016/s0277-9536(03)00097-2
28 https://doi.org/10.1016/s0277-9536(96)00187-6
29 https://doi.org/10.1067/mhj.2002.123579
30 https://doi.org/10.1073/pnas.0903103106
31 https://doi.org/10.1086/519795
32 https://doi.org/10.1093/acprof:oso/9780198568162.001.0001
33 https://doi.org/10.1093/ajcn/80.4.815
34 https://doi.org/10.1093/ije/dyg075
35 https://doi.org/10.1093/ije/dyh386
36 https://doi.org/10.1093/ije/dyl266
37 https://doi.org/10.1093/ije/dym244
38 https://doi.org/10.1093/ije/dyp262
39 https://doi.org/10.1093/ije/dyr029
40 https://doi.org/10.1111/1467-9566.ep11343777
41 https://doi.org/10.1111/j.1467-9566.1993.tb00328.x
42 https://doi.org/10.1126/science.1142382
43 https://doi.org/10.1136/jech.2004.023531
44 https://doi.org/10.1136/jech.2004.026807
45 https://doi.org/10.1136/jech.2005.041319
46 https://doi.org/10.1136/jech.2009.102517
47 https://doi.org/10.1136/jech.2009.106492
48 https://doi.org/10.1136/jech.56.7.529
49 https://doi.org/10.1136/jech.57.10.778
50 https://doi.org/10.1146/annurev.psych.031809.130711
51 https://doi.org/10.1161/atvbaha.110.208496
52 https://doi.org/10.1371/journal.pone.0005069
53 schema:datePublished 2014-12
54 schema:datePublishedReg 2014-12-01
55 schema:description BACKGROUND: The relevance of disease-related genetic variants for the explanation of social inequalities in complex diseases is unclear and empirical analyses are largely missing. The aim of our study was to examine whether genetic variants predisposing to diabetes mellitus are associated with socioeconomic status in a population-based cohort. METHODS: We genotyped 11 selected diabetes-related single nucleotide polymorphisms in 4655 participants (age 45-75 years) of the Heinz Nixdorf Recall study. Diabetes status was self-reported or defined by blood glucose levels. Education, income and paternal occupation were assessed as indicators of socioeconomic status. Multiple regression analyses were used to examine the association of socioeconomic status and diabetes by estimating sex-specific and age-adjusted prevalence ratios and their corresponding 95%-confidence intervals. To explore the relationship between individual single nucleotide polymorphisms and socioeconomic status sex- and age-adjusted odds ratios were computed. We adjusted the alpha-level for multiple testing of 11 single nucleotide polymorphisms using Bonferroni's method (α(BF) ~ 0.005). In addition, we explored the association of a genetic risk score with socioeconomic status. RESULTS: Social inequalities in diabetes were observed for all indicators of socioeconomic status. However, there were no significant associations between individual diabetes-related risk alleles and socioeconomic status with odds ratios ranging from 0.87 to 1.23. Similarly, the genetic risk score analysis revealed no evidence for an association. CONCLUSIONS: Our data provide no evidence for an association between 11 diabetes-related risk alleles and different indicators of socioeconomic status in a population-based cohort, suggesting that the explored genetic variants do not contribute to health inequalities in diabetes.
56 schema:genre research_article
57 schema:inLanguage en
58 schema:isAccessibleForFree true
59 schema:isPartOf N7e4a9c64ca964134a9dd98a44f935506
60 Nfdc390c0a4ec43f6b3449fdd3e839162
61 sg:journal.1024954
62 schema:name Exploring genetic variants predisposing to diabetes mellitus and their association with indicators of socioeconomic status
63 schema:pagination 609
64 schema:productId N2f36a5cce2bc45e08024437897410989
65 N4343e3b58c414756b59ac39ad2e55ddb
66 N50d07d4b6aa846c7968de179b3b558a0
67 N6a182f26e2e74117825747ba4e2ca57a
68 Ne7ff98d517d74bba8df6461888ed5675
69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022162026
70 https://doi.org/10.1186/1471-2458-14-609
71 schema:sdDatePublished 2019-04-10T17:31
72 schema:sdLicense https://scigraph.springernature.com/explorer/license/
73 schema:sdPublisher N8b6723fd28694b19bc407453e50cfe1c
74 schema:url http://link.springer.com/10.1186%2F1471-2458-14-609
75 sgo:license sg:explorer/license/
76 sgo:sdDataset articles
77 rdf:type schema:ScholarlyArticle
78 N1ba5000c2e9c41968399beced6f7a0d9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Socioeconomic Factors
80 rdf:type schema:DefinedTerm
81 N2e3e7417369641df9c85850edf26fbfd rdf:first sg:person.01367101560.30
82 rdf:rest N7b4b783f93484eaaaf42cba01985229b
83 N2f36a5cce2bc45e08024437897410989 schema:name doi
84 schema:value 10.1186/1471-2458-14-609
85 rdf:type schema:PropertyValue
86 N4343e3b58c414756b59ac39ad2e55ddb schema:name nlm_unique_id
87 schema:value 100968562
88 rdf:type schema:PropertyValue
89 N50d07d4b6aa846c7968de179b3b558a0 schema:name readcube_id
90 schema:value 6995dfc2e77125732ebf8c38add37603646b26310da47368087a9a2c992f8bd9
91 rdf:type schema:PropertyValue
92 N563b8fec155641fd9761c2632982af26 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Diabetes Mellitus
94 rdf:type schema:DefinedTerm
95 N59327ad5bfb341a387eb8f82833dd87b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Risk Factors
97 rdf:type schema:DefinedTerm
98 N610d4805fcea4239904827382d7ddadd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Middle Aged
100 rdf:type schema:DefinedTerm
101 N6a182f26e2e74117825747ba4e2ca57a schema:name pubmed_id
102 schema:value 24935819
103 rdf:type schema:PropertyValue
104 N6a4a709d4a73475a85f24649adbeb17a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Male
106 rdf:type schema:DefinedTerm
107 N73075b55c7fe44a486cfe15901e5c981 rdf:first sg:person.0745133536.64
108 rdf:rest Nbc1b5f2d97a44a50a52bee005f24aa76
109 N7b4b783f93484eaaaf42cba01985229b rdf:first sg:person.01346361351.16
110 rdf:rest N9c41211ca8af434c9c73b5a6b9bd2864
111 N7e4a9c64ca964134a9dd98a44f935506 schema:issueNumber 1
112 rdf:type schema:PublicationIssue
113 N83bb47c5ad0f4b178eebef350290c112 rdf:first sg:person.01110577373.52
114 rdf:rest Na27f80d7890b4de89474d26e99de6268
115 N8b6723fd28694b19bc407453e50cfe1c schema:name Springer Nature - SN SciGraph project
116 rdf:type schema:Organization
117 N98cbecaca35545378cf4540a9c02d8a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Aged
119 rdf:type schema:DefinedTerm
120 N9c3a35aefc5c46e8827ed29b5dc77ece schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Female
122 rdf:type schema:DefinedTerm
123 N9c41211ca8af434c9c73b5a6b9bd2864 rdf:first sg:person.01072523061.22
124 rdf:rest Ne4536f0784d44267a8aee4b8f69575b5
125 Na27f80d7890b4de89474d26e99de6268 rdf:first sg:person.01260346064.17
126 rdf:rest rdf:nil
127 Nb3a6435b48004f09b23938aa7950edc2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Prevalence
129 rdf:type schema:DefinedTerm
130 Nbc1b5f2d97a44a50a52bee005f24aa76 rdf:first sg:person.0735343076.23
131 rdf:rest N2e3e7417369641df9c85850edf26fbfd
132 Ncab064b7a71843f887bfdaf53a30aa5c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Healthcare Disparities
134 rdf:type schema:DefinedTerm
135 Nd8d70712844b495ea732f674100f4251 schema:name West-German Heart Center Essen, Department of Cardiology, University of Duisburg-Essen, Essen, Germany
136 rdf:type schema:Organization
137 Ndf3acb47a4904531bbb539ca01518eaa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Odds Ratio
139 rdf:type schema:DefinedTerm
140 Ne10b1f5fda84414799949bbe3f756930 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Genetic Predisposition to Disease
142 rdf:type schema:DefinedTerm
143 Ne4536f0784d44267a8aee4b8f69575b5 rdf:first sg:person.0750633205.49
144 rdf:rest N83bb47c5ad0f4b178eebef350290c112
145 Ne7651b1dcde04a43acdab5e56a22bdee rdf:first sg:person.0627640046.67
146 rdf:rest N73075b55c7fe44a486cfe15901e5c981
147 Ne7ff98d517d74bba8df6461888ed5675 schema:name dimensions_id
148 schema:value pub.1022162026
149 rdf:type schema:PropertyValue
150 Nf32c5670766f43ed9e68f5f933ae900d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Germany
152 rdf:type schema:DefinedTerm
153 Nfa9ea617b52a45f8b12fb3117be02291 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Humans
155 rdf:type schema:DefinedTerm
156 Nfdc390c0a4ec43f6b3449fdd3e839162 schema:volumeNumber 14
157 rdf:type schema:PublicationVolume
158 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
159 schema:name Medical and Health Sciences
160 rdf:type schema:DefinedTerm
161 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
162 schema:name Public Health and Health Services
163 rdf:type schema:DefinedTerm
164 sg:grant.5770382 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2458-14-609
165 rdf:type schema:MonetaryGrant
166 sg:journal.1024954 schema:issn 1471-2458
167 schema:name BMC Public Health
168 rdf:type schema:Periodical
169 sg:person.01072523061.22 schema:affiliation https://www.grid.ac/institutes/grid.10388.32
170 schema:familyName Nöthen
171 schema:givenName Markus M
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072523061.22
173 rdf:type schema:Person
174 sg:person.01110577373.52 schema:affiliation https://www.grid.ac/institutes/grid.5718.b
175 schema:familyName Jöckel
176 schema:givenName Karl-Heinz
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110577373.52
178 rdf:type schema:Person
179 sg:person.01260346064.17 schema:affiliation https://www.grid.ac/institutes/grid.5718.b
180 schema:familyName Moebus
181 schema:givenName Susanne
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260346064.17
183 rdf:type schema:Person
184 sg:person.01346361351.16 schema:affiliation https://www.grid.ac/institutes/grid.10388.32
185 schema:familyName Hoffmann
186 schema:givenName Per
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346361351.16
188 rdf:type schema:Person
189 sg:person.01367101560.30 schema:affiliation https://www.grid.ac/institutes/grid.5718.b
190 schema:familyName Pechlivanis
191 schema:givenName Sonali
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367101560.30
193 rdf:type schema:Person
194 sg:person.0627640046.67 schema:affiliation https://www.grid.ac/institutes/grid.5718.b
195 schema:familyName Schmidt
196 schema:givenName Börge
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627640046.67
198 rdf:type schema:Person
199 sg:person.0735343076.23 schema:affiliation https://www.grid.ac/institutes/grid.275559.9
200 schema:familyName Scherag
201 schema:givenName André
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735343076.23
203 rdf:type schema:Person
204 sg:person.0745133536.64 schema:affiliation https://www.grid.ac/institutes/grid.411327.2
205 schema:familyName Dragano
206 schema:givenName Nico
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0745133536.64
208 rdf:type schema:Person
209 sg:person.0750633205.49 schema:affiliation Nd8d70712844b495ea732f674100f4251
210 schema:familyName Erbel
211 schema:givenName Raimund
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750633205.49
213 rdf:type schema:Person
214 sg:pub.10.1007/978-1-4419-9186-7_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038176105
215 https://doi.org/10.1007/978-1-4419-9186-7_10
216 rdf:type schema:CreativeWork
217 sg:pub.10.1007/978-94-007-0753-5_102084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034251831
218 https://doi.org/10.1007/978-94-007-0753-5_102084
219 rdf:type schema:CreativeWork
220 sg:pub.10.1007/s00125-008-1146-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041623557
221 https://doi.org/10.1007/s00125-008-1146-1
222 rdf:type schema:CreativeWork
223 sg:pub.10.1007/s10654-005-5529-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1020994529
224 https://doi.org/10.1007/s10654-005-5529-z
225 rdf:type schema:CreativeWork
226 sg:pub.10.1038/nature05616 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022931325
227 https://doi.org/10.1038/nature05616
228 rdf:type schema:CreativeWork
229 sg:pub.10.1038/ng.2383 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011024359
230 https://doi.org/10.1038/ng.2383
231 rdf:type schema:CreativeWork
232 sg:pub.10.1038/ng.609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041224776
233 https://doi.org/10.1038/ng.609
234 rdf:type schema:CreativeWork
235 sg:pub.10.1038/nrg2554 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011407465
236 https://doi.org/10.1038/nrg2554
237 rdf:type schema:CreativeWork
238 sg:pub.10.1186/1471-2458-10-525 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002499331
239 https://doi.org/10.1186/1471-2458-10-525
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/s0140-6736(08)61690-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009490371
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/s0277-9536(03)00097-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014650321
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1016/s0277-9536(96)00187-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036180199
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1067/mhj.2002.123579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025352726
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1073/pnas.0903103106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020299353
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1086/519795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019061180
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1093/acprof:oso/9780198568162.001.0001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098736783
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1093/ajcn/80.4.815 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076942100
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1093/ije/dyg075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011385381
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1093/ije/dyh386 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011533272
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1093/ije/dyl266 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030068064
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1093/ije/dym244 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040801045
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1093/ije/dyp262 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022019867
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1093/ije/dyr029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053005172
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1111/1467-9566.ep11343777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061835493
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1111/j.1467-9566.1993.tb00328.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005528141
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1126/science.1142382 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062456032
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1136/jech.2004.023531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044856203
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1136/jech.2004.026807 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010779049
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1136/jech.2005.041319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024696872
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1136/jech.2009.102517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014416607
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1136/jech.2009.106492 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016184276
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1136/jech.56.7.529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050524715
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1136/jech.57.10.778 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034697372
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1146/annurev.psych.031809.130711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009810950
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1161/atvbaha.110.208496 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008038166
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1371/journal.pone.0005069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010747425
294 rdf:type schema:CreativeWork
295 https://www.grid.ac/institutes/grid.10388.32 schema:alternateName University of Bonn
296 schema:name Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
297 Institute of Human Genetics, University of Bonn, Bonn, Germany
298 rdf:type schema:Organization
299 https://www.grid.ac/institutes/grid.275559.9 schema:alternateName Jena University Hospital
300 schema:name Clinical Epidemiology, Integrated Research and Treatment Center, Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany
301 Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstraße 55, 45147, Essen, Germany
302 rdf:type schema:Organization
303 https://www.grid.ac/institutes/grid.411327.2 schema:alternateName Heinrich Heine University Düsseldorf
304 schema:name Institute for Medical Sociology, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany
305 rdf:type schema:Organization
306 https://www.grid.ac/institutes/grid.5718.b schema:alternateName University of Duisburg-Essen
307 schema:name Institute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Hufelandstraße 55, 45147, Essen, Germany
308 rdf:type schema:Organization
 




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


...