Genome-wide association study in 176,678 Europeans reveals genetic loci for tanning response to sun exposure View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Alessia Visconti, David L. Duffy, Fan Liu, Gu Zhu, Wenting Wu, Yan Chen, Pirro G. Hysi, Changqing Zeng, Marianna Sanna, Mark M. Iles, Peter A. Kanetsky, Florence Demenais, Merel A. Hamer, Andre G. Uitterlinden, M. Arfan Ikram, Tamar Nijsten, Nicholas G. Martin, Manfred Kayser, Tim D. Spector, Jiali Han, Veronique Bataille, Mario Falchi

ABSTRACT

The skin's tendency to sunburn rather than tan is a major risk factor for skin cancer. Here we report a large genome-wide association study of ease of skin tanning in 176,678 subjects of European ancestry. We identify significant association with tanning ability at 20 loci. We confirm previously identified associations at six of these loci, and report 14 novel loci, of which ten have never been associated with pigmentation-related phenotypes. Our results also suggest that variants at the AHR/AGR3 locus, previously associated with cutaneous malignant melanoma the underlying mechanism of which is poorly understood, might act on disease risk through modulation of tanning ability. More... »

PAGES

1684

References to SciGraph publications

  • 2012-08. Fast and accurate genotype imputation in genome-wide association studies through pre-phasing in NATURE GENETICS
  • 2015-07. A Genome-Wide Association Study Identifies the Skin Color Genes IRF4, MC1R, ASIP, and BNC2 Influencing Facial Pigmented Spots in JOURNAL OF INVESTIGATIVE DERMATOLOGY
  • 2015-08. The Rotterdam Study: 2016 objectives and design update in EUROPEAN JOURNAL OF EPIDEMIOLOGY
  • 2015-03. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies in NATURE GENETICS
  • 2002-01. Merlin—rapid analysis of dense genetic maps using sparse gene flow trees in NATURE GENETICS
  • 2015-08. Genetics of skin color variation in Europeans: genome-wide association studies with functional follow-up in HUMAN GENETICS
  • 2015-09. Genome-wide meta-analysis identifies five new susceptibility loci for cutaneous malignant melanoma in NATURE GENETICS
  • 2016-12. Deficiency of 14-3-3ε and 14-3-3ζ by the Wnt1 promoter-driven Cre recombinase results in pigmentation defects in BMC RESEARCH NOTES
  • 2007-12. Genetic determinants of hair, eye and skin pigmentation in Europeans in NATURE GENETICS
  • 2008-07. Two newly identified genetic determinants of pigmentation in Europeans in NATURE GENETICS
  • 2016-12. Genome-wide association study identifies novel susceptibility loci for cutaneous squamous cell carcinoma in NATURE COMMUNICATIONS
  • 2012-07. Genome-wide efficient mixed-model analysis for association studies in NATURE GENETICS
  • 2016-07. Detection and interpretation of shared genetic influences on 42 human traits in NATURE GENETICS
  • 2009-09. Genome-Wide Association Study of Tanning Phenotype in a Population of European Ancestry in JOURNAL OF INVESTIGATIVE DERMATOLOGY
  • 2016-12. Genome-wide association study identifies 14 novel risk alleles associated with basal cell carcinoma in NATURE COMMUNICATIONS
  • 2015-02. Genetic Variants in Fanconi Anemia Pathway Genes BRCA2 and FANCA Predict Melanoma Survival in JOURNAL OF INVESTIGATIVE DERMATOLOGY
  • 2009-08. Genome-wide association study identifies three loci associated with melanoma risk in NATURE GENETICS
  • 2015-11. An atlas of genetic correlations across human diseases and traits in NATURE GENETICS
  • 2015-02. Integrative analysis of 111 reference human epigenomes in NATURE
  • 2011-06. Identification of an imprinted master trans regulator at the KLF14 locus related to multiple metabolic phenotypes in NATURE GENETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41467-018-04086-y

    DOI

    http://dx.doi.org/10.1038/s41467-018-04086-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1103613902

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29739929


    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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, King\u2019s College London, SE1 7EH, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Visconti", 
            "givenName": "Alessia", 
            "id": "sg:person.016325423773.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016325423773.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "QIMR Berghofer Medical Research Institute", 
              "id": "https://www.grid.ac/institutes/grid.1049.c", 
              "name": [
                "QIMR Berghofer Medical Research Institute, 4029, Brisbane, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Duffy", 
            "givenName": "David L.", 
            "id": "sg:person.012534414732.64", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012534414732.64"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Erasmus University Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.5645.2", 
              "name": [
                "CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, 100101, Beijing, China", 
                "University of Chinese Academy of Sciences, 100049, Beijing, China", 
                "Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Fan", 
            "id": "sg:person.01162362726.66", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162362726.66"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "QIMR Berghofer Medical Research Institute", 
              "id": "https://www.grid.ac/institutes/grid.1049.c", 
              "name": [
                "QIMR Berghofer Medical Research Institute, 4029, Brisbane, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhu", 
            "givenName": "Gu", 
            "id": "sg:person.016156407027.97", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016156407027.97"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Indiana University \u2013 Purdue University Indianapolis", 
              "id": "https://www.grid.ac/institutes/grid.257413.6", 
              "name": [
                "Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin & Bren Simon Cancer Center, Indiana University, 46202, Indianapolis, IN, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wu", 
            "givenName": "Wenting", 
            "id": "sg:person.01116506122.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116506122.07"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Chinese Academy of Sciences", 
              "id": "https://www.grid.ac/institutes/grid.410726.6", 
              "name": [
                "CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, 100101, Beijing, China", 
                "University of Chinese Academy of Sciences, 100049, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chen", 
            "givenName": "Yan", 
            "id": "sg:person.07474761320.89", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07474761320.89"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, King\u2019s College London, SE1 7EH, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hysi", 
            "givenName": "Pirro G.", 
            "id": "sg:person.01254523225.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254523225.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Beijing Institute of Genomics", 
              "id": "https://www.grid.ac/institutes/grid.464209.d", 
              "name": [
                "CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, 100101, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zeng", 
            "givenName": "Changqing", 
            "id": "sg:person.01052452044.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052452044.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, King\u2019s College London, SE1 7EH, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sanna", 
            "givenName": "Marianna", 
            "id": "sg:person.010014653341.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010014653341.36"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Leeds", 
              "id": "https://www.grid.ac/institutes/grid.9909.9", 
              "name": [
                "Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, LS9 7TF, Leeds, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Iles", 
            "givenName": "Mark M.", 
            "id": "sg:person.0763216257.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763216257.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Moffitt Cancer Center", 
              "id": "https://www.grid.ac/institutes/grid.468198.a", 
              "name": [
                "Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, 33612, Tampa, FL, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kanetsky", 
            "givenName": "Peter A.", 
            "id": "sg:person.01321750743.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01321750743.70"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Paris Diderot University", 
              "id": "https://www.grid.ac/institutes/grid.7452.4", 
              "name": [
                "INSERM, UMR 946, Genetic Variation and Human Diseases Unit, 75010, Paris, France", 
                "Institut Universitaire d\u2019H\u00e9matologie, Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, 75010, Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Demenais", 
            "givenName": "Florence", 
            "id": "sg:person.062276775.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.062276775.14"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Erasmus University Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.5645.2", 
              "name": [
                "Department of Dermatology, Erasmus MC University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hamer", 
            "givenName": "Merel A.", 
            "id": "sg:person.01073570445.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01073570445.21"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Erasmus University Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.5645.2", 
              "name": [
                "Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands", 
                "Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Uitterlinden", 
            "givenName": "Andre G.", 
            "id": "sg:person.01174076626.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174076626.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Erasmus University Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.5645.2", 
              "name": [
                "Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ikram", 
            "givenName": "M. Arfan", 
            "id": "sg:person.01273302464.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273302464.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Erasmus University Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.5645.2", 
              "name": [
                "Department of Dermatology, Erasmus MC University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nijsten", 
            "givenName": "Tamar", 
            "id": "sg:person.011065550317.11", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011065550317.11"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "QIMR Berghofer Medical Research Institute", 
              "id": "https://www.grid.ac/institutes/grid.1049.c", 
              "name": [
                "QIMR Berghofer Medical Research Institute, 4029, Brisbane, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Martin", 
            "givenName": "Nicholas G.", 
            "id": "sg:person.010700366647.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010700366647.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Erasmus University Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.5645.2", 
              "name": [
                "Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kayser", 
            "givenName": "Manfred", 
            "id": "sg:person.01256745715.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256745715.59"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, King\u2019s College London, SE1 7EH, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Spector", 
            "givenName": "Tim D.", 
            "id": "sg:person.014424006237.85", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014424006237.85"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Brigham and Women's Hospital", 
              "id": "https://www.grid.ac/institutes/grid.62560.37", 
              "name": [
                "Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin & Bren Simon Cancer Center, Indiana University, 46202, Indianapolis, IN, USA", 
                "Channing Division of Network Medicine, Department of Medicine, Brigham and Women\u2019s Hospital, 02115, Boston, MA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Han", 
            "givenName": "Jiali", 
            "id": "sg:person.013233566234.69", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013233566234.69"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, King\u2019s College London, SE1 7EH, London, UK", 
                "Department of Dermatology, West Herts NHS Trust, HP2 4AD, Herts, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bataille", 
            "givenName": "Veronique", 
            "id": "sg:person.0646243332.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646243332.04"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, King\u2019s College London, SE1 7EH, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Falchi", 
            "givenName": "Mario", 
            "id": "sg:person.0634277705.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634277705.41"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1006/jhev.2000.0403", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000842499"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1000934", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003326751"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-148x.2008.00505.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003879516"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1001/archderm.1988.01670060015008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006842554"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ijc.23396", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007341588"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3373", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008020292", 
              "https://doi.org/10.1038/ng.3373"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3373", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008020292", 
              "https://doi.org/10.1038/ng.3373"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/hmg/ddt142", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009449835"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btq559", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010854841"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms12510", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010883107", 
              "https://doi.org/10.1038/ncomms12510"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms12510", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010883107", 
              "https://doi.org/10.1038/ncomms12510"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms12048", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012084839", 
              "https://doi.org/10.1038/ncomms12048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms12048", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012084839", 
              "https://doi.org/10.1038/ncomms12048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/19.1.149", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013784960"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10654-015-0082-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014920697", 
              "https://doi.org/10.1007/s10654-015-0082-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10654-015-0082-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014920697", 
              "https://doi.org/10.1007/s10654-015-0082-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13104-016-1980-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015818549", 
              "https://doi.org/10.1186/s13104-016-1980-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.yexcr.2005.08.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016105841"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.yexcr.2005.08.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016105841"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3406", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016405801", 
              "https://doi.org/10.1038/ng.3406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jid.2016.01.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016532616"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/brain/awu206", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017078667"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/519795", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019061180"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.411", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022055276", 
              "https://doi.org/10.1038/ng.411"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.411", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022055276", 
              "https://doi.org/10.1038/ng.411"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/ije/dyl197", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024841024"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btn564", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026900777"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1375/twin.4.6.464", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027491960"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/jid.2009.62", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027737135", 
              "https://doi.org/10.1038/jid.2009.62"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1262110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029707840"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2354", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029723318", 
              "https://doi.org/10.1038/ng.2354"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature14248", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031836937", 
              "https://doi.org/10.1038/nature14248"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3570", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031947374", 
              "https://doi.org/10.1038/ng.3570"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.160", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034007928", 
              "https://doi.org/10.1038/ng.160"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molcel.2012.10.027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035516138"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btq419", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036490983"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1000993", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038972494"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1098-2272(1999)16:1<40::aid-gepi4>3.0.co;2-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039340587"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng786", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041343500", 
              "https://doi.org/10.1038/ng786"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng786", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041343500", 
              "https://doi.org/10.1038/ng786"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gad.1937710", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041508424"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2007.13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043901216", 
              "https://doi.org/10.1038/ng.2007.13"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3211", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044444076", 
              "https://doi.org/10.1038/ng.3211"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1217849", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045272945"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2310", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046029840", 
              "https://doi.org/10.1038/ng.2310"
            ], 
            "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/10.1093/nar/gkt1229", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047459836"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkt1229", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047459836"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.833", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050165471", 
              "https://doi.org/10.1038/ng.833"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00439-015-1559-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051360497", 
              "https://doi.org/10.1007/s00439-015-1559-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00439-015-1559-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051360497", 
              "https://doi.org/10.1007/s00439-015-1559-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00439-015-1559-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051360497", 
              "https://doi.org/10.1007/s00439-015-1559-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/hmg/9.17.2531", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051458360"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/jid.2014.416", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052508683", 
              "https://doi.org/10.1038/jid.2014.416"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/jid.2015.62", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052738795", 
              "https://doi.org/10.1038/jid.2015.62"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-148x.2010.00730.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053246173"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-148x.2010.00730.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053246173"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1000074", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053671247"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/scitranslmed.3008601", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062688310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18632/oncotarget.15230", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083847062"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1006711", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084622028"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/005165", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085114316"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/005165", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085114316"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/005165", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085114316"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-12", 
        "datePublishedReg": "2018-12-01", 
        "description": "The skin's tendency to sunburn rather than tan is a major risk factor for skin cancer. Here we report a large genome-wide association study of ease of skin tanning in 176,678 subjects of European ancestry. We identify significant association with tanning ability at 20 loci. We confirm previously identified associations at six of these loci, and report 14 novel loci, of which ten have never been associated with pigmentation-related phenotypes. Our results also suggest that variants at the AHR/AGR3 locus, previously associated with cutaneous malignant melanoma the underlying mechanism of which is poorly understood, might act on disease risk through modulation of tanning ability.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/s41467-018-04086-y", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3801883", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2705362", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3628049", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2435752", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2470116", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1043282", 
            "issn": [
              "2041-1723"
            ], 
            "name": "Nature Communications", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "9"
          }
        ], 
        "name": "Genome-wide association study in 176,678 Europeans reveals genetic loci for tanning response to sun exposure", 
        "pagination": "1684", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "0331de7d6d3cd7188bab976db008c89cd7e1f159f13913acf51849614c2f4991"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "29739929"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101528555"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41467-018-04086-y"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1103613902"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41467-018-04086-y", 
          "https://app.dimensions.ai/details/publication/pub.1103613902"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T00:12", 
        "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_8695_00000494.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/s41467-018-04086-y"
      }
    ]
     

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

    HOW TO GET THIS DATA PROGRAMMATICALLY:

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

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-04086-y'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-04086-y'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-04086-y'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-04086-y'


     

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

    434 TRIPLES      21 PREDICATES      80 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41467-018-04086-y schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author Na5b32e9e8ca44d6e8c3a24084b862fbc
    4 schema:citation sg:pub.10.1007/s00439-015-1559-0
    5 sg:pub.10.1007/s10654-015-0082-x
    6 sg:pub.10.1038/jid.2009.62
    7 sg:pub.10.1038/jid.2014.416
    8 sg:pub.10.1038/jid.2015.62
    9 sg:pub.10.1038/nature14248
    10 sg:pub.10.1038/ncomms12048
    11 sg:pub.10.1038/ncomms12510
    12 sg:pub.10.1038/ng.160
    13 sg:pub.10.1038/ng.2007.13
    14 sg:pub.10.1038/ng.2310
    15 sg:pub.10.1038/ng.2354
    16 sg:pub.10.1038/ng.3211
    17 sg:pub.10.1038/ng.3373
    18 sg:pub.10.1038/ng.3406
    19 sg:pub.10.1038/ng.3570
    20 sg:pub.10.1038/ng.411
    21 sg:pub.10.1038/ng.833
    22 sg:pub.10.1038/ng786
    23 sg:pub.10.1186/s13104-016-1980-z
    24 https://doi.org/10.1001/archderm.1988.01670060015008
    25 https://doi.org/10.1002/(sici)1098-2272(1999)16:1<40::aid-gepi4>3.0.co;2-1
    26 https://doi.org/10.1002/ijc.23396
    27 https://doi.org/10.1006/jhev.2000.0403
    28 https://doi.org/10.1016/j.jid.2016.01.013
    29 https://doi.org/10.1016/j.molcel.2012.10.027
    30 https://doi.org/10.1016/j.yexcr.2005.08.013
    31 https://doi.org/10.1086/519795
    32 https://doi.org/10.1093/bioinformatics/19.1.149
    33 https://doi.org/10.1093/bioinformatics/btn564
    34 https://doi.org/10.1093/bioinformatics/btq340
    35 https://doi.org/10.1093/bioinformatics/btq419
    36 https://doi.org/10.1093/bioinformatics/btq559
    37 https://doi.org/10.1093/brain/awu206
    38 https://doi.org/10.1093/hmg/9.17.2531
    39 https://doi.org/10.1093/hmg/ddt142
    40 https://doi.org/10.1093/ije/dyl197
    41 https://doi.org/10.1093/nar/gkt1229
    42 https://doi.org/10.1101/005165
    43 https://doi.org/10.1101/gad.1937710
    44 https://doi.org/10.1111/j.1755-148x.2008.00505.x
    45 https://doi.org/10.1111/j.1755-148x.2010.00730.x
    46 https://doi.org/10.1126/science.1217849
    47 https://doi.org/10.1126/science.1262110
    48 https://doi.org/10.1126/scitranslmed.3008601
    49 https://doi.org/10.1371/journal.pgen.1000074
    50 https://doi.org/10.1371/journal.pgen.1000934
    51 https://doi.org/10.1371/journal.pgen.1000993
    52 https://doi.org/10.1371/journal.pgen.1006711
    53 https://doi.org/10.1375/twin.4.6.464
    54 https://doi.org/10.18632/oncotarget.15230
    55 schema:datePublished 2018-12
    56 schema:datePublishedReg 2018-12-01
    57 schema:description The skin's tendency to sunburn rather than tan is a major risk factor for skin cancer. Here we report a large genome-wide association study of ease of skin tanning in 176,678 subjects of European ancestry. We identify significant association with tanning ability at 20 loci. We confirm previously identified associations at six of these loci, and report 14 novel loci, of which ten have never been associated with pigmentation-related phenotypes. Our results also suggest that variants at the AHR/AGR3 locus, previously associated with cutaneous malignant melanoma the underlying mechanism of which is poorly understood, might act on disease risk through modulation of tanning ability.
    58 schema:genre research_article
    59 schema:inLanguage en
    60 schema:isAccessibleForFree true
    61 schema:isPartOf N570ef042e55b4f6285d0147484c0762e
    62 Na3f04b18f42f49589b73a4dfb8371fd8
    63 sg:journal.1043282
    64 schema:name Genome-wide association study in 176,678 Europeans reveals genetic loci for tanning response to sun exposure
    65 schema:pagination 1684
    66 schema:productId N00bf7515e357471993ebcadfd9420faa
    67 N1ff20feb38c64adc8167b4353707e43f
    68 N2b2d4196f33c4b25adcc1c37871841b1
    69 Na58be901f61e42ee9d711ac3038c0b82
    70 Ne48f91a7fa964d0390d4b76686ab9e65
    71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103613902
    72 https://doi.org/10.1038/s41467-018-04086-y
    73 schema:sdDatePublished 2019-04-11T00:12
    74 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    75 schema:sdPublisher Nc5be61b642514f84bc6a8d691093fe16
    76 schema:url https://www.nature.com/articles/s41467-018-04086-y
    77 sgo:license sg:explorer/license/
    78 sgo:sdDataset articles
    79 rdf:type schema:ScholarlyArticle
    80 N008f10de1eb94a478f307a77347920c7 rdf:first sg:person.01254523225.05
    81 rdf:rest Nab414b6406e14c6f999bc7dc20a9fa61
    82 N00bf7515e357471993ebcadfd9420faa schema:name pubmed_id
    83 schema:value 29739929
    84 rdf:type schema:PropertyValue
    85 N01cbf0491f2742dab89b6a16c6c952c9 rdf:first sg:person.0763216257.13
    86 rdf:rest Nee37bed366844b78bb9bd5bb95b8d3ad
    87 N05fd1933706b47aba823c7322bf786c9 rdf:first sg:person.01073570445.21
    88 rdf:rest N8589fac33fa84f63b4509a8241e204ab
    89 N0e7900c4411c4e3ba1623478c6d886c6 rdf:first sg:person.011065550317.11
    90 rdf:rest N7075c999641044dda854a6195156d0ac
    91 N11925189e923458e9a7278bb340cb77f rdf:first sg:person.0646243332.04
    92 rdf:rest Nf26a6ca854a04ce9859859cf5fe6d620
    93 N1ff20feb38c64adc8167b4353707e43f schema:name readcube_id
    94 schema:value 0331de7d6d3cd7188bab976db008c89cd7e1f159f13913acf51849614c2f4991
    95 rdf:type schema:PropertyValue
    96 N2b2d4196f33c4b25adcc1c37871841b1 schema:name doi
    97 schema:value 10.1038/s41467-018-04086-y
    98 rdf:type schema:PropertyValue
    99 N32ae90d087c740f4959b85e620ae722a rdf:first sg:person.014424006237.85
    100 rdf:rest N770378a34c1f4c3d9cd565958db9f327
    101 N400010973a664eff905d5803a82a363e rdf:first sg:person.062276775.14
    102 rdf:rest N05fd1933706b47aba823c7322bf786c9
    103 N5359422d497349efbb9e52bb2bc44184 rdf:first sg:person.01116506122.07
    104 rdf:rest Nf690733ecd4446fc9a2151068fa3fb7c
    105 N570ef042e55b4f6285d0147484c0762e schema:volumeNumber 9
    106 rdf:type schema:PublicationVolume
    107 N5b35e922a7754e2196da14bb13a6c4f2 rdf:first sg:person.01256745715.59
    108 rdf:rest N32ae90d087c740f4959b85e620ae722a
    109 N7075c999641044dda854a6195156d0ac rdf:first sg:person.010700366647.17
    110 rdf:rest N5b35e922a7754e2196da14bb13a6c4f2
    111 N770378a34c1f4c3d9cd565958db9f327 rdf:first sg:person.013233566234.69
    112 rdf:rest N11925189e923458e9a7278bb340cb77f
    113 N799625efc0ba478abce0e7fcc8094be5 rdf:first sg:person.012534414732.64
    114 rdf:rest Nfa47fc470ff24ea88aafbcd876c350d6
    115 N8589fac33fa84f63b4509a8241e204ab rdf:first sg:person.01174076626.46
    116 rdf:rest Necfc18525a3f449caf79341a2f011796
    117 Na3f04b18f42f49589b73a4dfb8371fd8 schema:issueNumber 1
    118 rdf:type schema:PublicationIssue
    119 Na58be901f61e42ee9d711ac3038c0b82 schema:name nlm_unique_id
    120 schema:value 101528555
    121 rdf:type schema:PropertyValue
    122 Na5b32e9e8ca44d6e8c3a24084b862fbc rdf:first sg:person.016325423773.51
    123 rdf:rest N799625efc0ba478abce0e7fcc8094be5
    124 Nab414b6406e14c6f999bc7dc20a9fa61 rdf:first sg:person.01052452044.20
    125 rdf:rest Nc08b7bd6ae2246af924662ead522058a
    126 Nc08b7bd6ae2246af924662ead522058a rdf:first sg:person.010014653341.36
    127 rdf:rest N01cbf0491f2742dab89b6a16c6c952c9
    128 Nc5be61b642514f84bc6a8d691093fe16 schema:name Springer Nature - SN SciGraph project
    129 rdf:type schema:Organization
    130 Ne48f91a7fa964d0390d4b76686ab9e65 schema:name dimensions_id
    131 schema:value pub.1103613902
    132 rdf:type schema:PropertyValue
    133 Necfc18525a3f449caf79341a2f011796 rdf:first sg:person.01273302464.25
    134 rdf:rest N0e7900c4411c4e3ba1623478c6d886c6
    135 Nee37bed366844b78bb9bd5bb95b8d3ad rdf:first sg:person.01321750743.70
    136 rdf:rest N400010973a664eff905d5803a82a363e
    137 Nf26a6ca854a04ce9859859cf5fe6d620 rdf:first sg:person.0634277705.41
    138 rdf:rest rdf:nil
    139 Nf4dc2c1083e446aea545aff0303633a6 rdf:first sg:person.016156407027.97
    140 rdf:rest N5359422d497349efbb9e52bb2bc44184
    141 Nf690733ecd4446fc9a2151068fa3fb7c rdf:first sg:person.07474761320.89
    142 rdf:rest N008f10de1eb94a478f307a77347920c7
    143 Nfa47fc470ff24ea88aafbcd876c350d6 rdf:first sg:person.01162362726.66
    144 rdf:rest Nf4dc2c1083e446aea545aff0303633a6
    145 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    146 schema:name Biological Sciences
    147 rdf:type schema:DefinedTerm
    148 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    149 schema:name Genetics
    150 rdf:type schema:DefinedTerm
    151 sg:grant.2435752 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-04086-y
    152 rdf:type schema:MonetaryGrant
    153 sg:grant.2470116 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-04086-y
    154 rdf:type schema:MonetaryGrant
    155 sg:grant.2705362 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-04086-y
    156 rdf:type schema:MonetaryGrant
    157 sg:grant.3628049 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-04086-y
    158 rdf:type schema:MonetaryGrant
    159 sg:grant.3801883 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-018-04086-y
    160 rdf:type schema:MonetaryGrant
    161 sg:journal.1043282 schema:issn 2041-1723
    162 schema:name Nature Communications
    163 rdf:type schema:Periodical
    164 sg:person.010014653341.36 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    165 schema:familyName Sanna
    166 schema:givenName Marianna
    167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010014653341.36
    168 rdf:type schema:Person
    169 sg:person.01052452044.20 schema:affiliation https://www.grid.ac/institutes/grid.464209.d
    170 schema:familyName Zeng
    171 schema:givenName Changqing
    172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052452044.20
    173 rdf:type schema:Person
    174 sg:person.010700366647.17 schema:affiliation https://www.grid.ac/institutes/grid.1049.c
    175 schema:familyName Martin
    176 schema:givenName Nicholas G.
    177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010700366647.17
    178 rdf:type schema:Person
    179 sg:person.01073570445.21 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
    180 schema:familyName Hamer
    181 schema:givenName Merel A.
    182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01073570445.21
    183 rdf:type schema:Person
    184 sg:person.011065550317.11 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
    185 schema:familyName Nijsten
    186 schema:givenName Tamar
    187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011065550317.11
    188 rdf:type schema:Person
    189 sg:person.01116506122.07 schema:affiliation https://www.grid.ac/institutes/grid.257413.6
    190 schema:familyName Wu
    191 schema:givenName Wenting
    192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116506122.07
    193 rdf:type schema:Person
    194 sg:person.01162362726.66 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
    195 schema:familyName Liu
    196 schema:givenName Fan
    197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162362726.66
    198 rdf:type schema:Person
    199 sg:person.01174076626.46 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
    200 schema:familyName Uitterlinden
    201 schema:givenName Andre G.
    202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174076626.46
    203 rdf:type schema:Person
    204 sg:person.012534414732.64 schema:affiliation https://www.grid.ac/institutes/grid.1049.c
    205 schema:familyName Duffy
    206 schema:givenName David L.
    207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012534414732.64
    208 rdf:type schema:Person
    209 sg:person.01254523225.05 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    210 schema:familyName Hysi
    211 schema:givenName Pirro G.
    212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254523225.05
    213 rdf:type schema:Person
    214 sg:person.01256745715.59 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
    215 schema:familyName Kayser
    216 schema:givenName Manfred
    217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256745715.59
    218 rdf:type schema:Person
    219 sg:person.01273302464.25 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
    220 schema:familyName Ikram
    221 schema:givenName M. Arfan
    222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273302464.25
    223 rdf:type schema:Person
    224 sg:person.01321750743.70 schema:affiliation https://www.grid.ac/institutes/grid.468198.a
    225 schema:familyName Kanetsky
    226 schema:givenName Peter A.
    227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01321750743.70
    228 rdf:type schema:Person
    229 sg:person.013233566234.69 schema:affiliation https://www.grid.ac/institutes/grid.62560.37
    230 schema:familyName Han
    231 schema:givenName Jiali
    232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013233566234.69
    233 rdf:type schema:Person
    234 sg:person.014424006237.85 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    235 schema:familyName Spector
    236 schema:givenName Tim D.
    237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014424006237.85
    238 rdf:type schema:Person
    239 sg:person.016156407027.97 schema:affiliation https://www.grid.ac/institutes/grid.1049.c
    240 schema:familyName Zhu
    241 schema:givenName Gu
    242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016156407027.97
    243 rdf:type schema:Person
    244 sg:person.016325423773.51 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    245 schema:familyName Visconti
    246 schema:givenName Alessia
    247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016325423773.51
    248 rdf:type schema:Person
    249 sg:person.062276775.14 schema:affiliation https://www.grid.ac/institutes/grid.7452.4
    250 schema:familyName Demenais
    251 schema:givenName Florence
    252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.062276775.14
    253 rdf:type schema:Person
    254 sg:person.0634277705.41 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    255 schema:familyName Falchi
    256 schema:givenName Mario
    257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634277705.41
    258 rdf:type schema:Person
    259 sg:person.0646243332.04 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    260 schema:familyName Bataille
    261 schema:givenName Veronique
    262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646243332.04
    263 rdf:type schema:Person
    264 sg:person.07474761320.89 schema:affiliation https://www.grid.ac/institutes/grid.410726.6
    265 schema:familyName Chen
    266 schema:givenName Yan
    267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07474761320.89
    268 rdf:type schema:Person
    269 sg:person.0763216257.13 schema:affiliation https://www.grid.ac/institutes/grid.9909.9
    270 schema:familyName Iles
    271 schema:givenName Mark M.
    272 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763216257.13
    273 rdf:type schema:Person
    274 sg:pub.10.1007/s00439-015-1559-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051360497
    275 https://doi.org/10.1007/s00439-015-1559-0
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1007/s10654-015-0082-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014920697
    278 https://doi.org/10.1007/s10654-015-0082-x
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1038/jid.2009.62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027737135
    281 https://doi.org/10.1038/jid.2009.62
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1038/jid.2014.416 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052508683
    284 https://doi.org/10.1038/jid.2014.416
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1038/jid.2015.62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052738795
    287 https://doi.org/10.1038/jid.2015.62
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1038/nature14248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031836937
    290 https://doi.org/10.1038/nature14248
    291 rdf:type schema:CreativeWork
    292 sg:pub.10.1038/ncomms12048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012084839
    293 https://doi.org/10.1038/ncomms12048
    294 rdf:type schema:CreativeWork
    295 sg:pub.10.1038/ncomms12510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010883107
    296 https://doi.org/10.1038/ncomms12510
    297 rdf:type schema:CreativeWork
    298 sg:pub.10.1038/ng.160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034007928
    299 https://doi.org/10.1038/ng.160
    300 rdf:type schema:CreativeWork
    301 sg:pub.10.1038/ng.2007.13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043901216
    302 https://doi.org/10.1038/ng.2007.13
    303 rdf:type schema:CreativeWork
    304 sg:pub.10.1038/ng.2310 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046029840
    305 https://doi.org/10.1038/ng.2310
    306 rdf:type schema:CreativeWork
    307 sg:pub.10.1038/ng.2354 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029723318
    308 https://doi.org/10.1038/ng.2354
    309 rdf:type schema:CreativeWork
    310 sg:pub.10.1038/ng.3211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044444076
    311 https://doi.org/10.1038/ng.3211
    312 rdf:type schema:CreativeWork
    313 sg:pub.10.1038/ng.3373 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008020292
    314 https://doi.org/10.1038/ng.3373
    315 rdf:type schema:CreativeWork
    316 sg:pub.10.1038/ng.3406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016405801
    317 https://doi.org/10.1038/ng.3406
    318 rdf:type schema:CreativeWork
    319 sg:pub.10.1038/ng.3570 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031947374
    320 https://doi.org/10.1038/ng.3570
    321 rdf:type schema:CreativeWork
    322 sg:pub.10.1038/ng.411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022055276
    323 https://doi.org/10.1038/ng.411
    324 rdf:type schema:CreativeWork
    325 sg:pub.10.1038/ng.833 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050165471
    326 https://doi.org/10.1038/ng.833
    327 rdf:type schema:CreativeWork
    328 sg:pub.10.1038/ng786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041343500
    329 https://doi.org/10.1038/ng786
    330 rdf:type schema:CreativeWork
    331 sg:pub.10.1186/s13104-016-1980-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1015818549
    332 https://doi.org/10.1186/s13104-016-1980-z
    333 rdf:type schema:CreativeWork
    334 https://doi.org/10.1001/archderm.1988.01670060015008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006842554
    335 rdf:type schema:CreativeWork
    336 https://doi.org/10.1002/(sici)1098-2272(1999)16:1<40::aid-gepi4>3.0.co;2-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039340587
    337 rdf:type schema:CreativeWork
    338 https://doi.org/10.1002/ijc.23396 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007341588
    339 rdf:type schema:CreativeWork
    340 https://doi.org/10.1006/jhev.2000.0403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000842499
    341 rdf:type schema:CreativeWork
    342 https://doi.org/10.1016/j.jid.2016.01.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016532616
    343 rdf:type schema:CreativeWork
    344 https://doi.org/10.1016/j.molcel.2012.10.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035516138
    345 rdf:type schema:CreativeWork
    346 https://doi.org/10.1016/j.yexcr.2005.08.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016105841
    347 rdf:type schema:CreativeWork
    348 https://doi.org/10.1086/519795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019061180
    349 rdf:type schema:CreativeWork
    350 https://doi.org/10.1093/bioinformatics/19.1.149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013784960
    351 rdf:type schema:CreativeWork
    352 https://doi.org/10.1093/bioinformatics/btn564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026900777
    353 rdf:type schema:CreativeWork
    354 https://doi.org/10.1093/bioinformatics/btq340 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047276303
    355 rdf:type schema:CreativeWork
    356 https://doi.org/10.1093/bioinformatics/btq419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036490983
    357 rdf:type schema:CreativeWork
    358 https://doi.org/10.1093/bioinformatics/btq559 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010854841
    359 rdf:type schema:CreativeWork
    360 https://doi.org/10.1093/brain/awu206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017078667
    361 rdf:type schema:CreativeWork
    362 https://doi.org/10.1093/hmg/9.17.2531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051458360
    363 rdf:type schema:CreativeWork
    364 https://doi.org/10.1093/hmg/ddt142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009449835
    365 rdf:type schema:CreativeWork
    366 https://doi.org/10.1093/ije/dyl197 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024841024
    367 rdf:type schema:CreativeWork
    368 https://doi.org/10.1093/nar/gkt1229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047459836
    369 rdf:type schema:CreativeWork
    370 https://doi.org/10.1101/005165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085114316
    371 rdf:type schema:CreativeWork
    372 https://doi.org/10.1101/gad.1937710 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041508424
    373 rdf:type schema:CreativeWork
    374 https://doi.org/10.1111/j.1755-148x.2008.00505.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003879516
    375 rdf:type schema:CreativeWork
    376 https://doi.org/10.1111/j.1755-148x.2010.00730.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1053246173
    377 rdf:type schema:CreativeWork
    378 https://doi.org/10.1126/science.1217849 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045272945
    379 rdf:type schema:CreativeWork
    380 https://doi.org/10.1126/science.1262110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029707840
    381 rdf:type schema:CreativeWork
    382 https://doi.org/10.1126/scitranslmed.3008601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062688310
    383 rdf:type schema:CreativeWork
    384 https://doi.org/10.1371/journal.pgen.1000074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053671247
    385 rdf:type schema:CreativeWork
    386 https://doi.org/10.1371/journal.pgen.1000934 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003326751
    387 rdf:type schema:CreativeWork
    388 https://doi.org/10.1371/journal.pgen.1000993 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038972494
    389 rdf:type schema:CreativeWork
    390 https://doi.org/10.1371/journal.pgen.1006711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084622028
    391 rdf:type schema:CreativeWork
    392 https://doi.org/10.1375/twin.4.6.464 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027491960
    393 rdf:type schema:CreativeWork
    394 https://doi.org/10.18632/oncotarget.15230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083847062
    395 rdf:type schema:CreativeWork
    396 https://www.grid.ac/institutes/grid.1049.c schema:alternateName QIMR Berghofer Medical Research Institute
    397 schema:name QIMR Berghofer Medical Research Institute, 4029, Brisbane, Australia
    398 rdf:type schema:Organization
    399 https://www.grid.ac/institutes/grid.13097.3c schema:alternateName King's College London
    400 schema:name Department of Dermatology, West Herts NHS Trust, HP2 4AD, Herts, UK
    401 Department of Twin Research and Genetic Epidemiology, King’s College London, SE1 7EH, London, UK
    402 rdf:type schema:Organization
    403 https://www.grid.ac/institutes/grid.257413.6 schema:alternateName Indiana University – Purdue University Indianapolis
    404 schema:name Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin & Bren Simon Cancer Center, Indiana University, 46202, Indianapolis, IN, USA
    405 rdf:type schema:Organization
    406 https://www.grid.ac/institutes/grid.410726.6 schema:alternateName University of Chinese Academy of Sciences
    407 schema:name CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, 100101, Beijing, China
    408 University of Chinese Academy of Sciences, 100049, Beijing, China
    409 rdf:type schema:Organization
    410 https://www.grid.ac/institutes/grid.464209.d schema:alternateName Beijing Institute of Genomics
    411 schema:name CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, 100101, Beijing, China
    412 rdf:type schema:Organization
    413 https://www.grid.ac/institutes/grid.468198.a schema:alternateName Moffitt Cancer Center
    414 schema:name Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, 33612, Tampa, FL, USA
    415 rdf:type schema:Organization
    416 https://www.grid.ac/institutes/grid.5645.2 schema:alternateName Erasmus University Medical Center
    417 schema:name CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, 100101, Beijing, China
    418 Department of Dermatology, Erasmus MC University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands
    419 Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands
    420 Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands
    421 Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, 3000 CA, Rotterdam, The Netherlands
    422 University of Chinese Academy of Sciences, 100049, Beijing, China
    423 rdf:type schema:Organization
    424 https://www.grid.ac/institutes/grid.62560.37 schema:alternateName Brigham and Women's Hospital
    425 schema:name Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, 02115, Boston, MA, USA
    426 Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin & Bren Simon Cancer Center, Indiana University, 46202, Indianapolis, IN, USA
    427 rdf:type schema:Organization
    428 https://www.grid.ac/institutes/grid.7452.4 schema:alternateName Paris Diderot University
    429 schema:name INSERM, UMR 946, Genetic Variation and Human Diseases Unit, 75010, Paris, France
    430 Institut Universitaire d’Hématologie, Université Paris Diderot, Sorbonne Paris Cité, 75010, Paris, France
    431 rdf:type schema:Organization
    432 https://www.grid.ac/institutes/grid.9909.9 schema:alternateName University of Leeds
    433 schema:name Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, LS9 7TF, Leeds, UK
    434 rdf:type schema:Organization
     




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


    ...