Novel risk genes identified in a genome-wide association study for coronary artery disease in patients with type 1 diabetes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Romain Charmet, Seamus Duffy, Sareh Keshavarzi, Beata Gyorgy, Michel Marre, Peter Rossing, Amy Jayne McKnight, Alexander P. Maxwell, Tarun veer Singh Ahluwalia, Andrew D. Paterson, David-Alexandre Trégouët, Samy Hadjadj

ABSTRACT

BACKGROUND: Patients with type 1 diabetes are more at risk of coronary artery disease than the general population. Although evidence points to a genetic risk there have been no study investigating genetic risk factors of coronary artery disease specific to individuals with type 1 diabetes. To identify low frequency and common genetic variations associated with coronary artery disease in populations of individuals with type 1 diabetes. METHODS: A two-stage genome wide association study was conducted. The discovery phase involved the meta-analysis of three genome-wide association cohorts totaling 434 patients with type 1 diabetes and coronary artery disease (cases) and 3123 T1D individuals with no evidence of coronary artery disease (controls). Replication of the top association signals (p < 10-5) was performed in five additional independent cohorts totaling 585 cases and 2612 controls. RESULTS: One locus (rs115829748, located upstream of the MAP1B gene) reached the statistical threshold of 5 × 10-8 for genome-wide significance but did not replicate. Nevertheless, three single nucleotide polymorphisms provided suggestive evidence for association with coronary artery disease in the combined studies: CDK18 rs138760780 (OR = 2.60 95% confidence interval [1.75-3.85], p = 2.02 × 10-6), FAM189A2 rs12344245 (OR = 1.85 [1.41-2.43], p = 8.52 × 10-6) and PKD1 rs116092985 (OR = 1.53 [1.27-1.85], p = 1.01 × 10-5). In addition, our analyses suggested that genetic variations at the ANKS1A, COL4A2 and APOE loci previously found associated with coronary artery disease in the general population could have stronger effects in patients with type 1 diabetes. CONCLUSIONS: This study suggests three novel candidate genes for coronary artery disease in the subgroup of patients affected with type 1 diabetes. The detected associations deserve to be definitively validated in additional epidemiological studies. More... »

PAGES

61

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12933-018-0705-0

DOI

http://dx.doi.org/10.1186/s12933-018-0705-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103635209

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29695241


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/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "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": "Adaptor Proteins, Signal Transducing", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Apolipoproteins E", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Collagen Type IV", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Comorbidity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Artery Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cyclin-Dependent Kinases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diabetes Mellitus, Type 1", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Europe", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "European Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Loci", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Markers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Predisposition to Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genome-Wide Association Study", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phenotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Single Nucleotide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "TRPP Cation Channels", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institute of Cardiometabolism And Nutrition", 
          "id": "https://www.grid.ac/institutes/grid.477396.8", 
          "name": [
            "Institut National pour la Sant\u00e9 et la Recherche M\u00e9dicale (INSERM), Unit\u00e9 Mixte de Recherche en Sant\u00e9 (UMR_S) 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Sorbonne Universit\u00e9s, UPMC Univ. Paris 06, Paris, France", 
            "ICAN Institute for Cardiometabolism and Nutrition, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Charmet", 
        "givenName": "Romain", 
        "id": "sg:person.012427425347.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012427425347.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Queen's University Belfast", 
          "id": "https://www.grid.ac/institutes/grid.4777.3", 
          "name": [
            "Centre for Public Health, Queen\u2019s University of Belfast, Belfast, Northern Ireland, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Duffy", 
        "givenName": "Seamus", 
        "id": "sg:person.01333457116.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333457116.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital for Sick Children", 
          "id": "https://www.grid.ac/institutes/grid.42327.30", 
          "name": [
            "Genetics & Genome Biology Program, Hospital for Sick Children, Toronto, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Keshavarzi", 
        "givenName": "Sareh", 
        "id": "sg:person.01326762624.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326762624.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Cardiometabolism And Nutrition", 
          "id": "https://www.grid.ac/institutes/grid.477396.8", 
          "name": [
            "Institut National pour la Sant\u00e9 et la Recherche M\u00e9dicale (INSERM), Unit\u00e9 Mixte de Recherche en Sant\u00e9 (UMR_S) 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Sorbonne Universit\u00e9s, UPMC Univ. Paris 06, Paris, France", 
            "ICAN Institute for Cardiometabolism and Nutrition, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gyorgy", 
        "givenName": "Beata", 
        "id": "sg:person.012027147111.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012027147111.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Paris Diderot University", 
          "id": "https://www.grid.ac/institutes/grid.7452.4", 
          "name": [
            "D\u00e9partment de Diab\u00e9tologie, Endocrinologie et Nutrition, Assistance Publique H\u00f4pitaux de Paris, H\u00f4pital Bichat, DHU FIRE, Paris, France", 
            "UFR de M\u00e9decine, Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marre", 
        "givenName": "Michel", 
        "id": "sg:person.01200505026.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200505026.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Copenhagen", 
          "id": "https://www.grid.ac/institutes/grid.5254.6", 
          "name": [
            "Steno Diabetes Center Copenhagen, Gentofte, Denmark", 
            "University of Copenhagen, Copenhagen, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rossing", 
        "givenName": "Peter", 
        "id": "sg:person.01036424445.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01036424445.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Queen's University Belfast", 
          "id": "https://www.grid.ac/institutes/grid.4777.3", 
          "name": [
            "Centre for Public Health, Queen\u2019s University of Belfast, Belfast, Northern Ireland, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McKnight", 
        "givenName": "Amy Jayne", 
        "id": "sg:person.01372515157.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01372515157.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Queen's University Belfast", 
          "id": "https://www.grid.ac/institutes/grid.4777.3", 
          "name": [
            "Centre for Public Health, Queen\u2019s University of Belfast, Belfast, Northern Ireland, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maxwell", 
        "givenName": "Alexander P.", 
        "id": "sg:person.0643010350.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643010350.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Steno Diabetes Center", 
          "id": "https://www.grid.ac/institutes/grid.419658.7", 
          "name": [
            "Steno Diabetes Center Copenhagen, Gentofte, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahluwalia", 
        "givenName": "Tarun veer Singh", 
        "id": "sg:person.01055242127.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055242127.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Toronto", 
          "id": "https://www.grid.ac/institutes/grid.17063.33", 
          "name": [
            "Genetics & Genome Biology Program, Hospital for Sick Children, Toronto, Canada", 
            "Dalla Lana School of Public Health, University of Toronto, Toronto, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paterson", 
        "givenName": "Andrew D.", 
        "id": "sg:person.012152650702.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012152650702.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Cardiometabolism And Nutrition", 
          "id": "https://www.grid.ac/institutes/grid.477396.8", 
          "name": [
            "Institut National pour la Sant\u00e9 et la Recherche M\u00e9dicale (INSERM), Unit\u00e9 Mixte de Recherche en Sant\u00e9 (UMR_S) 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Sorbonne Universit\u00e9s, UPMC Univ. Paris 06, Paris, France", 
            "ICAN Institute for Cardiometabolism and Nutrition, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tr\u00e9gou\u00ebt", 
        "givenName": "David-Alexandre", 
        "id": "sg:person.01310402345.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310402345.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre Hospitalier Universitaire de Poitiers", 
          "id": "https://www.grid.ac/institutes/grid.411162.1", 
          "name": [
            "UFR de M\u00e9decine et Pharmacie, Universit\u00e9 de Poitiers, Poitiers, France", 
            "INSERM, CIC 1402 & U1082, Poitiers, France", 
            "Service d\u2019Endocrinologie-Diab\u00e9tologie and Centre d\u2019Investigation Clinique, CHU de Poitiers, BP 577, 86021, Poitiers Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hadjadj", 
        "givenName": "Samy", 
        "id": "sg:person.0607263311.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607263311.54"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1371/journal.pgen.1002921", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002011974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1002293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004117746"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0092-8674(95)90339-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007892692"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.52.3.891", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015019062"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2010060598", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017369564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1681/asn.2010060598", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017369564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/519795", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019061180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc09-2174", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021362236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12933-016-0471-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021633598", 
          "https://doi.org/10.1186/s12933-016-0471-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12933-016-0471-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021633598", 
          "https://doi.org/10.1186/s12933-016-0471-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-006-0317-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023837101", 
          "https://doi.org/10.1007/s00125-006-0317-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-006-0317-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023837101", 
          "https://doi.org/10.1007/s00125-006-0317-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-006-0317-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023837101", 
          "https://doi.org/10.1007/s00125-006-0317-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.2480", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024601187", 
          "https://doi.org/10.1038/ng.2480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-015-3785-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029884781", 
          "https://doi.org/10.1007/s00125-015-3785-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-015-3785-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029884781", 
          "https://doi.org/10.1007/s00125-015-3785-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00125-015-3785-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029884781", 
          "https://doi.org/10.1007/s00125-015-3785-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0258(19980730)17:14<1623::aid-sim871>3.0.co;2-s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029971076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2015.10029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030710834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(06)68341-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031122993"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199203053261005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033913560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3396", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034378235", 
          "https://doi.org/10.1038/ng.3396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/hmg/ddp165", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036161424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/gepi.20533", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039500245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/gepi.20533", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039500245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/dc10-s062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042714871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa052187", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045615611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1408214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046393468"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btq340", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047276303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.1186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047418980"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2014.16425", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049550974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(04)17018-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052249325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diabetes.51.4.1208", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052591939"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/diacare.27.2.503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052827947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkr917", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052960118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076464917", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2016.11.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083831228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3874", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085460295", 
          "https://doi.org/10.1038/ng.3874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3874", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085460295", 
          "https://doi.org/10.1038/ng.3874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090747969", 
          "https://doi.org/10.1038/ng.3913"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090747969", 
          "https://doi.org/10.1038/ng.3913"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090747969", 
          "https://doi.org/10.1038/ng.3913"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "BACKGROUND: Patients with type 1 diabetes are more at risk of coronary artery disease than the general population. Although evidence points to a genetic risk there have been no study investigating genetic risk factors of coronary artery disease specific to individuals with type 1 diabetes. To identify low frequency and common genetic variations associated with coronary artery disease in populations of individuals with type 1 diabetes.\nMETHODS: A two-stage genome wide association study was conducted. The discovery phase involved the meta-analysis of three genome-wide association cohorts totaling 434 patients with type 1 diabetes and coronary artery disease (cases) and 3123 T1D individuals with no evidence of coronary artery disease (controls). Replication of the top association signals (p\u2009<\u200910-5) was performed in five additional independent cohorts totaling 585 cases and 2612 controls.\nRESULTS: One locus (rs115829748, located upstream of the MAP1B gene) reached the statistical threshold of 5\u2009\u00d7\u200910-8 for genome-wide significance but did not replicate. Nevertheless, three single nucleotide polymorphisms provided suggestive evidence for association with coronary artery disease in the combined studies: CDK18 rs138760780 (OR\u2009=\u20092.60 95% confidence interval [1.75-3.85], p\u2009=\u20092.02\u2009\u00d7\u200910-6), FAM189A2 rs12344245 (OR\u2009=\u20091.85 [1.41-2.43], p\u2009=\u20098.52\u2009\u00d7\u200910-6) and PKD1 rs116092985 (OR\u2009=\u20091.53 [1.27-1.85], p\u2009=\u20091.01\u2009\u00d7\u200910-5). In addition, our analyses suggested that genetic variations at the ANKS1A, COL4A2 and APOE loci previously found associated with coronary artery disease in the general population could have stronger effects in patients with type 1 diabetes.\nCONCLUSIONS: This study suggests three novel candidate genes for coronary artery disease in the subgroup of patients affected with type 1 diabetes. The detected associations deserve to be definitively validated in additional epidemiological studies.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12933-018-0705-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7670788", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1031021", 
        "issn": [
          "1475-2840"
        ], 
        "name": "Cardiovascular Diabetology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "name": "Novel risk genes identified in a genome-wide association study for coronary artery disease in patients with type 1 diabetes", 
    "pagination": "61", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f10c128e5e3b842a32e5b456c4f00a99a9a8bc872f48d6fc9e97c160a0e301b5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29695241"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101147637"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12933-018-0705-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1103635209"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12933-018-0705-0", 
      "https://app.dimensions.ai/details/publication/pub.1103635209"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:19", 
    "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/v90/0000000348_0000000348/records_54322_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12933-018-0705-0"
  }
]
 

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/s12933-018-0705-0'

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/s12933-018-0705-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12933-018-0705-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12933-018-0705-0'


 

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

352 TRIPLES      21 PREDICATES      80 URIs      40 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12933-018-0705-0 schema:about N326aaa89dabd44309a1d17b960c1e8f6
2 N33277c2bb88e4530a3f53d019e425457
3 N36282b56d4f749dcbcba2de5849abeda
4 N38b92c7ce8b447df9e226eb4e90f488c
5 N4deb744c8b7e49f9beca06a69c30e12d
6 N4e445b42a1474f83a836c6c715793139
7 N501a8b7415e342fd9f23321aee653832
8 N73e2a24e388c406487ad6035735f636d
9 N7581763e14fc4a80b63623e32d65a2bc
10 N83d3805af2b04eb28d1ccdc829613b6e
11 N8b1d816c2e2649dab72d1944833c1c45
12 N8f66e950c8a54ef5a9e83c157861cd60
13 Na7dee158aa404b6882ef8f45c437b841
14 Nb3d97a5d20ce4d2f99c72b817debcf4c
15 Nc054a067c6554ad291fcb5838513de61
16 Ncf71ffcaf31d407d8d37fd6795b649c7
17 Nd64bcc0f52fc4b939d3b36b5059732d5
18 Nd8357d592d714b6d94ca3e952431a902
19 Ne04c671f9bc44156bb786663f32d3307
20 anzsrc-for:06
21 anzsrc-for:0604
22 schema:author Nff97dbda544f4e479b3bcc55158d4fcf
23 schema:citation sg:pub.10.1007/s00125-006-0317-1
24 sg:pub.10.1007/s00125-015-3785-3
25 sg:pub.10.1038/ng.2480
26 sg:pub.10.1038/ng.3396
27 sg:pub.10.1038/ng.3874
28 sg:pub.10.1038/ng.3913
29 sg:pub.10.1186/s12933-016-0471-9
30 https://app.dimensions.ai/details/publication/pub.1076464917
31 https://doi.org/10.1001/jama.2014.16425
32 https://doi.org/10.1001/jama.2015.10029
33 https://doi.org/10.1002/(sici)1097-0258(19980730)17:14<1623::aid-sim871>3.0.co;2-s
34 https://doi.org/10.1002/gepi.20533
35 https://doi.org/10.1002/sim.1186
36 https://doi.org/10.1016/0092-8674(95)90339-9
37 https://doi.org/10.1016/j.jacc.2016.11.056
38 https://doi.org/10.1016/s0140-6736(04)17018-9
39 https://doi.org/10.1016/s0140-6736(06)68341-4
40 https://doi.org/10.1056/nejm199203053261005
41 https://doi.org/10.1056/nejmoa052187
42 https://doi.org/10.1056/nejmoa1408214
43 https://doi.org/10.1086/519795
44 https://doi.org/10.1093/bioinformatics/btq340
45 https://doi.org/10.1093/hmg/ddp165
46 https://doi.org/10.1093/nar/gkr917
47 https://doi.org/10.1371/journal.pgen.1002293
48 https://doi.org/10.1371/journal.pgen.1002921
49 https://doi.org/10.1681/asn.2010060598
50 https://doi.org/10.2337/dc09-2174
51 https://doi.org/10.2337/dc10-s062
52 https://doi.org/10.2337/diabetes.51.4.1208
53 https://doi.org/10.2337/diabetes.52.3.891
54 https://doi.org/10.2337/diacare.27.2.503
55 schema:datePublished 2018-12
56 schema:datePublishedReg 2018-12-01
57 schema:description BACKGROUND: Patients with type 1 diabetes are more at risk of coronary artery disease than the general population. Although evidence points to a genetic risk there have been no study investigating genetic risk factors of coronary artery disease specific to individuals with type 1 diabetes. To identify low frequency and common genetic variations associated with coronary artery disease in populations of individuals with type 1 diabetes. METHODS: A two-stage genome wide association study was conducted. The discovery phase involved the meta-analysis of three genome-wide association cohorts totaling 434 patients with type 1 diabetes and coronary artery disease (cases) and 3123 T1D individuals with no evidence of coronary artery disease (controls). Replication of the top association signals (p < 10-5) was performed in five additional independent cohorts totaling 585 cases and 2612 controls. RESULTS: One locus (rs115829748, located upstream of the MAP1B gene) reached the statistical threshold of 5 × 10-8 for genome-wide significance but did not replicate. Nevertheless, three single nucleotide polymorphisms provided suggestive evidence for association with coronary artery disease in the combined studies: CDK18 rs138760780 (OR = 2.60 95% confidence interval [1.75-3.85], p = 2.02 × 10-6), FAM189A2 rs12344245 (OR = 1.85 [1.41-2.43], p = 8.52 × 10-6) and PKD1 rs116092985 (OR = 1.53 [1.27-1.85], p = 1.01 × 10-5). In addition, our analyses suggested that genetic variations at the ANKS1A, COL4A2 and APOE loci previously found associated with coronary artery disease in the general population could have stronger effects in patients with type 1 diabetes. CONCLUSIONS: This study suggests three novel candidate genes for coronary artery disease in the subgroup of patients affected with type 1 diabetes. The detected associations deserve to be definitively validated in additional epidemiological studies.
58 schema:genre research_article
59 schema:inLanguage en
60 schema:isAccessibleForFree true
61 schema:isPartOf N534f2d03a0bc4bc99ac834ab0c90ccd5
62 N577d74b9627c46b79100ee86fc28f7d3
63 sg:journal.1031021
64 schema:name Novel risk genes identified in a genome-wide association study for coronary artery disease in patients with type 1 diabetes
65 schema:pagination 61
66 schema:productId N5e8f1452ff1c4b4a93b5b252ce54c995
67 N8a2d401deeb2485dbefbf3f377b5b720
68 N8a43223e824149d9935966aa56d3a7e0
69 N944da9741ea04af6b222f6599355957a
70 N98efefc0953548f4ad314911e05a54f5
71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103635209
72 https://doi.org/10.1186/s12933-018-0705-0
73 schema:sdDatePublished 2019-04-11T10:19
74 schema:sdLicense https://scigraph.springernature.com/explorer/license/
75 schema:sdPublisher N61e9b491201d4fe89181c92a557d550a
76 schema:url https://link.springer.com/10.1186%2Fs12933-018-0705-0
77 sgo:license sg:explorer/license/
78 sgo:sdDataset articles
79 rdf:type schema:ScholarlyArticle
80 N08a5129ea5174bdca950ae2c18cfebd8 rdf:first sg:person.01333457116.07
81 rdf:rest N4e779f079dcd4f1a99987bbeb9198d5f
82 N2e98038afb1c48bc8d7aa9618f9f81a5 rdf:first sg:person.01055242127.87
83 rdf:rest N83dc84a0161e4918afdec11f5a845f10
84 N326aaa89dabd44309a1d17b960c1e8f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Case-Control Studies
86 rdf:type schema:DefinedTerm
87 N33277c2bb88e4530a3f53d019e425457 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Humans
89 rdf:type schema:DefinedTerm
90 N36282b56d4f749dcbcba2de5849abeda schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Europe
92 rdf:type schema:DefinedTerm
93 N38b92c7ce8b447df9e226eb4e90f488c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Genetic Loci
95 rdf:type schema:DefinedTerm
96 N4deb744c8b7e49f9beca06a69c30e12d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Diabetes Mellitus, Type 1
98 rdf:type schema:DefinedTerm
99 N4e445b42a1474f83a836c6c715793139 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Cyclin-Dependent Kinases
101 rdf:type schema:DefinedTerm
102 N4e779f079dcd4f1a99987bbeb9198d5f rdf:first sg:person.01326762624.79
103 rdf:rest Nb38b55f4ff424ed5adc9dd24fa009a88
104 N501a8b7415e342fd9f23321aee653832 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Risk Factors
106 rdf:type schema:DefinedTerm
107 N51d66c2346a54036988018d997b62a28 rdf:first sg:person.0607263311.54
108 rdf:rest rdf:nil
109 N534f2d03a0bc4bc99ac834ab0c90ccd5 schema:issueNumber 1
110 rdf:type schema:PublicationIssue
111 N577d74b9627c46b79100ee86fc28f7d3 schema:volumeNumber 17
112 rdf:type schema:PublicationVolume
113 N585a119e37e347ecab82bda888a51a35 rdf:first sg:person.01036424445.54
114 rdf:rest N69a1813bec5948b08641e91a7cea7dbe
115 N5e8f1452ff1c4b4a93b5b252ce54c995 schema:name readcube_id
116 schema:value f10c128e5e3b842a32e5b456c4f00a99a9a8bc872f48d6fc9e97c160a0e301b5
117 rdf:type schema:PropertyValue
118 N61e9b491201d4fe89181c92a557d550a schema:name Springer Nature - SN SciGraph project
119 rdf:type schema:Organization
120 N69a1813bec5948b08641e91a7cea7dbe rdf:first sg:person.01372515157.76
121 rdf:rest Nae860d8dd38b46a3b76ac963e8a24150
122 N73e2a24e388c406487ad6035735f636d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Collagen Type IV
124 rdf:type schema:DefinedTerm
125 N7581763e14fc4a80b63623e32d65a2bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Genome-Wide Association Study
127 rdf:type schema:DefinedTerm
128 N83d3805af2b04eb28d1ccdc829613b6e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Comorbidity
130 rdf:type schema:DefinedTerm
131 N83dc84a0161e4918afdec11f5a845f10 rdf:first sg:person.012152650702.21
132 rdf:rest N9f8587d86a2c453194f52cc60fc52cbc
133 N8a2d401deeb2485dbefbf3f377b5b720 schema:name pubmed_id
134 schema:value 29695241
135 rdf:type schema:PropertyValue
136 N8a43223e824149d9935966aa56d3a7e0 schema:name dimensions_id
137 schema:value pub.1103635209
138 rdf:type schema:PropertyValue
139 N8b1d816c2e2649dab72d1944833c1c45 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Polymorphism, Single Nucleotide
141 rdf:type schema:DefinedTerm
142 N8f66e950c8a54ef5a9e83c157861cd60 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Phenotype
144 rdf:type schema:DefinedTerm
145 N944da9741ea04af6b222f6599355957a schema:name doi
146 schema:value 10.1186/s12933-018-0705-0
147 rdf:type schema:PropertyValue
148 N98efefc0953548f4ad314911e05a54f5 schema:name nlm_unique_id
149 schema:value 101147637
150 rdf:type schema:PropertyValue
151 N9f8587d86a2c453194f52cc60fc52cbc rdf:first sg:person.01310402345.19
152 rdf:rest N51d66c2346a54036988018d997b62a28
153 Na7dee158aa404b6882ef8f45c437b841 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Genetic Predisposition to Disease
155 rdf:type schema:DefinedTerm
156 Nae860d8dd38b46a3b76ac963e8a24150 rdf:first sg:person.0643010350.46
157 rdf:rest N2e98038afb1c48bc8d7aa9618f9f81a5
158 Nb38b55f4ff424ed5adc9dd24fa009a88 rdf:first sg:person.012027147111.57
159 rdf:rest Nddb7dff30c1e4c47b0297adaff905eb9
160 Nb3d97a5d20ce4d2f99c72b817debcf4c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name TRPP Cation Channels
162 rdf:type schema:DefinedTerm
163 Nc054a067c6554ad291fcb5838513de61 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Adaptor Proteins, Signal Transducing
165 rdf:type schema:DefinedTerm
166 Ncf71ffcaf31d407d8d37fd6795b649c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Apolipoproteins E
168 rdf:type schema:DefinedTerm
169 Nd64bcc0f52fc4b939d3b36b5059732d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Genetic Markers
171 rdf:type schema:DefinedTerm
172 Nd8357d592d714b6d94ca3e952431a902 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name European Continental Ancestry Group
174 rdf:type schema:DefinedTerm
175 Nddb7dff30c1e4c47b0297adaff905eb9 rdf:first sg:person.01200505026.40
176 rdf:rest N585a119e37e347ecab82bda888a51a35
177 Ne04c671f9bc44156bb786663f32d3307 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Coronary Artery Disease
179 rdf:type schema:DefinedTerm
180 Nff97dbda544f4e479b3bcc55158d4fcf rdf:first sg:person.012427425347.38
181 rdf:rest N08a5129ea5174bdca950ae2c18cfebd8
182 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
183 schema:name Biological Sciences
184 rdf:type schema:DefinedTerm
185 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
186 schema:name Genetics
187 rdf:type schema:DefinedTerm
188 sg:grant.7670788 http://pending.schema.org/fundedItem sg:pub.10.1186/s12933-018-0705-0
189 rdf:type schema:MonetaryGrant
190 sg:journal.1031021 schema:issn 1475-2840
191 schema:name Cardiovascular Diabetology
192 rdf:type schema:Periodical
193 sg:person.01036424445.54 schema:affiliation https://www.grid.ac/institutes/grid.5254.6
194 schema:familyName Rossing
195 schema:givenName Peter
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01036424445.54
197 rdf:type schema:Person
198 sg:person.01055242127.87 schema:affiliation https://www.grid.ac/institutes/grid.419658.7
199 schema:familyName Ahluwalia
200 schema:givenName Tarun veer Singh
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055242127.87
202 rdf:type schema:Person
203 sg:person.01200505026.40 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
204 schema:familyName Marre
205 schema:givenName Michel
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200505026.40
207 rdf:type schema:Person
208 sg:person.012027147111.57 schema:affiliation https://www.grid.ac/institutes/grid.477396.8
209 schema:familyName Gyorgy
210 schema:givenName Beata
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012027147111.57
212 rdf:type schema:Person
213 sg:person.012152650702.21 schema:affiliation https://www.grid.ac/institutes/grid.17063.33
214 schema:familyName Paterson
215 schema:givenName Andrew D.
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012152650702.21
217 rdf:type schema:Person
218 sg:person.012427425347.38 schema:affiliation https://www.grid.ac/institutes/grid.477396.8
219 schema:familyName Charmet
220 schema:givenName Romain
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012427425347.38
222 rdf:type schema:Person
223 sg:person.01310402345.19 schema:affiliation https://www.grid.ac/institutes/grid.477396.8
224 schema:familyName Trégouët
225 schema:givenName David-Alexandre
226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310402345.19
227 rdf:type schema:Person
228 sg:person.01326762624.79 schema:affiliation https://www.grid.ac/institutes/grid.42327.30
229 schema:familyName Keshavarzi
230 schema:givenName Sareh
231 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326762624.79
232 rdf:type schema:Person
233 sg:person.01333457116.07 schema:affiliation https://www.grid.ac/institutes/grid.4777.3
234 schema:familyName Duffy
235 schema:givenName Seamus
236 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333457116.07
237 rdf:type schema:Person
238 sg:person.01372515157.76 schema:affiliation https://www.grid.ac/institutes/grid.4777.3
239 schema:familyName McKnight
240 schema:givenName Amy Jayne
241 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01372515157.76
242 rdf:type schema:Person
243 sg:person.0607263311.54 schema:affiliation https://www.grid.ac/institutes/grid.411162.1
244 schema:familyName Hadjadj
245 schema:givenName Samy
246 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607263311.54
247 rdf:type schema:Person
248 sg:person.0643010350.46 schema:affiliation https://www.grid.ac/institutes/grid.4777.3
249 schema:familyName Maxwell
250 schema:givenName Alexander P.
251 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643010350.46
252 rdf:type schema:Person
253 sg:pub.10.1007/s00125-006-0317-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023837101
254 https://doi.org/10.1007/s00125-006-0317-1
255 rdf:type schema:CreativeWork
256 sg:pub.10.1007/s00125-015-3785-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029884781
257 https://doi.org/10.1007/s00125-015-3785-3
258 rdf:type schema:CreativeWork
259 sg:pub.10.1038/ng.2480 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024601187
260 https://doi.org/10.1038/ng.2480
261 rdf:type schema:CreativeWork
262 sg:pub.10.1038/ng.3396 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034378235
263 https://doi.org/10.1038/ng.3396
264 rdf:type schema:CreativeWork
265 sg:pub.10.1038/ng.3874 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085460295
266 https://doi.org/10.1038/ng.3874
267 rdf:type schema:CreativeWork
268 sg:pub.10.1038/ng.3913 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090747969
269 https://doi.org/10.1038/ng.3913
270 rdf:type schema:CreativeWork
271 sg:pub.10.1186/s12933-016-0471-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021633598
272 https://doi.org/10.1186/s12933-016-0471-9
273 rdf:type schema:CreativeWork
274 https://app.dimensions.ai/details/publication/pub.1076464917 schema:CreativeWork
275 https://doi.org/10.1001/jama.2014.16425 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049550974
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1001/jama.2015.10029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030710834
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1002/(sici)1097-0258(19980730)17:14<1623::aid-sim871>3.0.co;2-s schema:sameAs https://app.dimensions.ai/details/publication/pub.1029971076
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1002/gepi.20533 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039500245
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1002/sim.1186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047418980
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1016/0092-8674(95)90339-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007892692
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1016/j.jacc.2016.11.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083831228
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1016/s0140-6736(04)17018-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052249325
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1016/s0140-6736(06)68341-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031122993
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1056/nejm199203053261005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033913560
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1056/nejmoa052187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045615611
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1056/nejmoa1408214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046393468
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1086/519795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019061180
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1093/bioinformatics/btq340 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047276303
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1093/hmg/ddp165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036161424
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1093/nar/gkr917 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052960118
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1371/journal.pgen.1002293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004117746
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1371/journal.pgen.1002921 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002011974
310 rdf:type schema:CreativeWork
311 https://doi.org/10.1681/asn.2010060598 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017369564
312 rdf:type schema:CreativeWork
313 https://doi.org/10.2337/dc09-2174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021362236
314 rdf:type schema:CreativeWork
315 https://doi.org/10.2337/dc10-s062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042714871
316 rdf:type schema:CreativeWork
317 https://doi.org/10.2337/diabetes.51.4.1208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052591939
318 rdf:type schema:CreativeWork
319 https://doi.org/10.2337/diabetes.52.3.891 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015019062
320 rdf:type schema:CreativeWork
321 https://doi.org/10.2337/diacare.27.2.503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052827947
322 rdf:type schema:CreativeWork
323 https://www.grid.ac/institutes/grid.17063.33 schema:alternateName University of Toronto
324 schema:name Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
325 Genetics & Genome Biology Program, Hospital for Sick Children, Toronto, Canada
326 rdf:type schema:Organization
327 https://www.grid.ac/institutes/grid.411162.1 schema:alternateName Centre Hospitalier Universitaire de Poitiers
328 schema:name INSERM, CIC 1402 & U1082, Poitiers, France
329 Service d’Endocrinologie-Diabétologie and Centre d’Investigation Clinique, CHU de Poitiers, BP 577, 86021, Poitiers Cedex, France
330 UFR de Médecine et Pharmacie, Université de Poitiers, Poitiers, France
331 rdf:type schema:Organization
332 https://www.grid.ac/institutes/grid.419658.7 schema:alternateName Steno Diabetes Center
333 schema:name Steno Diabetes Center Copenhagen, Gentofte, Denmark
334 rdf:type schema:Organization
335 https://www.grid.ac/institutes/grid.42327.30 schema:alternateName Hospital for Sick Children
336 schema:name Genetics & Genome Biology Program, Hospital for Sick Children, Toronto, Canada
337 rdf:type schema:Organization
338 https://www.grid.ac/institutes/grid.477396.8 schema:alternateName Institute of Cardiometabolism And Nutrition
339 schema:name ICAN Institute for Cardiometabolism and Nutrition, Paris, France
340 Institut National pour la Santé et la Recherche Médicale (INSERM), Unité Mixte de Recherche en Santé (UMR_S) 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Sorbonne Universités, UPMC Univ. Paris 06, Paris, France
341 rdf:type schema:Organization
342 https://www.grid.ac/institutes/grid.4777.3 schema:alternateName Queen's University Belfast
343 schema:name Centre for Public Health, Queen’s University of Belfast, Belfast, Northern Ireland, UK
344 rdf:type schema:Organization
345 https://www.grid.ac/institutes/grid.5254.6 schema:alternateName University of Copenhagen
346 schema:name Steno Diabetes Center Copenhagen, Gentofte, Denmark
347 University of Copenhagen, Copenhagen, Denmark
348 rdf:type schema:Organization
349 https://www.grid.ac/institutes/grid.7452.4 schema:alternateName Paris Diderot University
350 schema:name Départment de Diabétologie, Endocrinologie et Nutrition, Assistance Publique Hôpitaux de Paris, Hôpital Bichat, DHU FIRE, Paris, France
351 UFR de Médecine, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
352 rdf:type schema:Organization
 




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


...