Whole-genome sequencing identifies common-to-rare variants associated with human blood metabolites View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-04

AUTHORS

Tao Long, Michael Hicks, Hung-Chun Yu, William H Biggs, Ewen F Kirkness, Cristina Menni, Jonas Zierer, Kerrin S Small, Massimo Mangino, Helen Messier, Suzanne Brewerton, Yaron Turpaz, Brad A Perkins, Anne M Evans, Luke A D Miller, Lining Guo, C Thomas Caskey, Nicholas J Schork, Chad Garner, Tim D Spector, J Craig Venter, Amalio Telenti

ABSTRACT

Genetic factors modifying the blood metabolome have been investigated through genome-wide association studies (GWAS) of common genetic variants and through exome sequencing. We conducted a whole-genome sequencing study of common, low-frequency and rare variants to associate genetic variations with blood metabolite levels using comprehensive metabolite profiling in 1,960 adults. We focused the analysis on 644 metabolites with consistent levels across three longitudinal data collections. Genetic sequence variations at 101 loci were associated with the levels of 246 (38%) metabolites (P ≤ 1.9 × 10-11). We identified 113 (10.7%) among 1,054 unrelated individuals in the cohort who carried heterozygous rare variants likely influencing the function of 17 genes. Thirteen of the 17 genes are associated with inborn errors of metabolism or other pediatric genetic conditions. This study extends the map of loci influencing the metabolome and highlights the importance of heterozygous rare variants in determining abnormal blood metabolic phenotypes in adults. More... »

PAGES

568-578

References to SciGraph publications

  • 2010-06. Uncovering the roles of rare variants in common disease through whole-genome sequencing in NATURE REVIEWS GENETICS
  • 2015-12. Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels in NATURE COMMUNICATIONS
  • 2002-02. Identification of a variant associated with adult-type hypolactasia in NATURE GENETICS
  • 2001-01. Role of Common Gene Variations in the Molecular Pathogenesis of Short-Chain Acyl-CoA Dehydrogenase Deficiency in PEDIATRIC RESEARCH
  • 2011-06. A genome-wide association study of metabolic traits in human urine in NATURE GENETICS
  • 2014-10. Long term conservation of human metabolic phenotypes and link to heritability in METABOLOMICS
  • 2014-06. An atlas of genetic influences on human blood metabolites in NATURE GENETICS
  • 2000-05. Gene Ontology: tool for the unification of biology in NATURE GENETICS
  • 2011-09. Human metabolic individuality in biomedical and pharmaceutical research in NATURE
  • 2016-12. An exome array study of the plasma metabolome in NATURE COMMUNICATIONS
  • 2012-11. Genetic variation in metabolic phenotypes: study designs and applications in NATURE REVIEWS GENETICS
  • 2014-04. Estimating heritability for cause specific mortality based on twin studies in LIFETIME DATA ANALYSIS
  • 2006-02. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness in NATURE GENETICS
  • 2016-03-23. Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA in NATURE COMMUNICATIONS
  • 2008-08. The ACADS gene variation spectrum in 114 patients with short-chain acyl-CoA dehydrogenase (SCAD) deficiency is dominated by missense variations leading to protein misfolding at the cellular level in HUMAN GENETICS
  • 2016-02. A spectral approach integrating functional genomic annotations for coding and noncoding variants in NATURE GENETICS
  • 2015-05. Further Improvements to Linear Mixed Models for Genome-Wide Association Studies in SCIENTIFIC REPORTS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/ng.3809

    DOI

    http://dx.doi.org/10.1038/ng.3809

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1084129149

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28263315


    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": "Adult", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Blood", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Exome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genetic Predisposition to Disease", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genetic Variation", 
            "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": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Metabolome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phenotype", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Quantitative Trait Loci", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Human Longevity (United States)", 
              "id": "https://www.grid.ac/institutes/grid.459583.6", 
              "name": [
                "Human Longevity, Inc., San Diego, California, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Long", 
            "givenName": "Tao", 
            "id": "sg:person.010606557337.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010606557337.70"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Human Longevity (United States)", 
              "id": "https://www.grid.ac/institutes/grid.459583.6", 
              "name": [
                "Human Longevity, Inc., San Diego, California, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hicks", 
            "givenName": "Michael", 
            "id": "sg:person.0727730534.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727730534.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Human Longevity (United States)", 
              "id": "https://www.grid.ac/institutes/grid.459583.6", 
              "name": [
                "Human Longevity, Inc., San Diego, California, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yu", 
            "givenName": "Hung-Chun", 
            "id": "sg:person.01057054562.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057054562.52"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Human Longevity (United States)", 
              "id": "https://www.grid.ac/institutes/grid.459583.6", 
              "name": [
                "Human Longevity, Inc., San Diego, California, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Biggs", 
            "givenName": "William H", 
            "id": "sg:person.015674464163.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015674464163.40"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Human Longevity (United States)", 
              "id": "https://www.grid.ac/institutes/grid.459583.6", 
              "name": [
                "Human Longevity, Inc., San Diego, California, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kirkness", 
            "givenName": "Ewen F", 
            "id": "sg:person.01276540042.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276540042.38"
            ], 
            "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's College, London, UK."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Menni", 
            "givenName": "Cristina", 
            "id": "sg:person.01043744667.67", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043744667.67"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, King's College, London, UK."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zierer", 
            "givenName": "Jonas", 
            "id": "sg:person.0617452367.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617452367.36"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "Department of Twin Research and Genetic Epidemiology, King's College, London, UK."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Small", 
            "givenName": "Kerrin S", 
            "id": "sg:person.01212126575.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212126575.59"
            ], 
            "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's College, London, UK."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mangino", 
            "givenName": "Massimo", 
            "id": "sg:person.0711664555.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711664555.48"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Human Longevity (United States)", 
              "id": "https://www.grid.ac/institutes/grid.459583.6", 
              "name": [
                "Human Longevity, Inc., San Diego, California, USA.", 
                "Health Nucleus, San Diego, California, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Messier", 
            "givenName": "Helen", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Human Longevity Singapore, Pte. Ltd., Singapore."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Brewerton", 
            "givenName": "Suzanne", 
            "id": "sg:person.0767443706.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767443706.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Human Longevity Singapore, Pte. Ltd., Singapore."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Turpaz", 
            "givenName": "Yaron", 
            "id": "sg:person.0712031202.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712031202.81"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Human Longevity (United States)", 
              "id": "https://www.grid.ac/institutes/grid.459583.6", 
              "name": [
                "Human Longevity, Inc., San Diego, California, USA.", 
                "Health Nucleus, San Diego, California, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Perkins", 
            "givenName": "Brad A", 
            "id": "sg:person.0744465137.98", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0744465137.98"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Metabolon (United States)", 
              "id": "https://www.grid.ac/institutes/grid.429438.0", 
              "name": [
                "Metabolon, Inc., Durham, North Carolina, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Evans", 
            "givenName": "Anne M", 
            "id": "sg:person.01313100601.60", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313100601.60"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Metabolon (United States)", 
              "id": "https://www.grid.ac/institutes/grid.429438.0", 
              "name": [
                "Metabolon, Inc., Durham, North Carolina, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Miller", 
            "givenName": "Luke A D", 
            "id": "sg:person.01173242543.29", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173242543.29"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Metabolon (United States)", 
              "id": "https://www.grid.ac/institutes/grid.429438.0", 
              "name": [
                "Metabolon, Inc., Durham, North Carolina, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Guo", 
            "givenName": "Lining", 
            "id": "sg:person.01361214001.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361214001.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Baylor College of Medicine", 
              "id": "https://www.grid.ac/institutes/grid.39382.33", 
              "name": [
                "Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Caskey", 
            "givenName": "C Thomas", 
            "id": "sg:person.01207170136.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207170136.04"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "J. Craig Venter Institute", 
              "id": "https://www.grid.ac/institutes/grid.469946.0", 
              "name": [
                "J. Craig Venter Institute, La Jolla, California, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Schork", 
            "givenName": "Nicholas J", 
            "id": "sg:person.014515120077.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014515120077.14"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Human Longevity (United States)", 
              "id": "https://www.grid.ac/institutes/grid.459583.6", 
              "name": [
                "Human Longevity, Inc., San Diego, California, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Garner", 
            "givenName": "Chad", 
            "id": "sg:person.0600666174.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600666174.70"
            ], 
            "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's College, 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": "Human Longevity (United States)", 
              "id": "https://www.grid.ac/institutes/grid.459583.6", 
              "name": [
                "Human Longevity, Inc., San Diego, California, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Venter", 
            "givenName": "J Craig", 
            "id": "sg:person.01225154174.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225154174.08"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "J. Craig Venter Institute", 
              "id": "https://www.grid.ac/institutes/grid.469946.0", 
              "name": [
                "Human Longevity, Inc., San Diego, California, USA.", 
                "J. Craig Venter Institute, La Jolla, California, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Telenti", 
            "givenName": "Amalio", 
            "id": "sg:person.01162002733.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162002733.02"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.ajhg.2011.05.029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001583272"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00439-008-0521-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001646749", 
              "https://doi.org/10.1007/s00439-008-0521-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00439-008-0521-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001646749", 
              "https://doi.org/10.1007/s00439-008-0521-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00439-008-0521-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001646749", 
              "https://doi.org/10.1007/s00439-008-0521-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/ije/dyr207", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001707041"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/gepi.21797", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001742959"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms8208", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003527515", 
              "https://doi.org/10.1038/ncomms8208"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1203/00006450-200101000-00008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010624908", 
              "https://doi.org/10.1203/00006450-200101000-00008"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.094052.109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010760027"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btt314", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011523710"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.135350.111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012073457"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1508425112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012834656"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1096-7192(02)00138-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014890282"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/ije/dyt094", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015074772"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1613365113", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015862177"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1003005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016134453"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/28.1.27", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017305614"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/gepi.21980", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017403051"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/circgenetics.114.000697", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017811217"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/circgenetics.114.000697", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017811217"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkh095", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018337528"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btr330", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018404011"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/hmg/ddv263", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018784661"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0304-4165(96)00050-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018854518"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/519795", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019061180"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1004835", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019493006"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkh008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021881150"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jsb.2004.01.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024199705"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2337/diacare.27.8.1859", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025289421"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/hmg/7.4.619", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028855572"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/geno.1993.1165", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029618315"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1262110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029707840"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/thg.2012.89", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029996059"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11306-014-0629-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030792672", 
              "https://doi.org/10.1007/s11306-014-0629-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11306-014-0629-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030792672", 
              "https://doi.org/10.1007/s11306-014-0629-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/geno.1998.5518", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033305352"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms11122", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034394716", 
              "https://doi.org/10.1038/ncomms11122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.diabres.2010.06.023", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034780749"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.febslet.2011.12.027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035324869"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1702", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035781360", 
              "https://doi.org/10.1038/ng1702"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1702", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035781360", 
              "https://doi.org/10.1038/ng1702"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms12360", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037845505", 
              "https://doi.org/10.1038/ncomms12360"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms12360", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037845505", 
              "https://doi.org/10.1038/ncomms12360"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkv1157", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037937986"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10985-013-9244-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039076410", 
              "https://doi.org/10.1007/s10985-013-9244-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.837", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039725108", 
              "https://doi.org/10.1038/ng.837"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature10354", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040072135", 
              "https://doi.org/10.1038/nature10354"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1000282", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041945577"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3477", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043158715", 
              "https://doi.org/10.1038/ng.3477"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1620/tjem.185.67", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043609961"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1620/tjem.185.67", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043609961"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/75556", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044135237", 
              "https://doi.org/10.1038/75556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/75556", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044135237", 
              "https://doi.org/10.1038/75556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg3314", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044464559", 
              "https://doi.org/10.1038/nrg3314"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2982", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044995197", 
              "https://doi.org/10.1038/ng.2982"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.neurol.2015.11.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046296798"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep06874", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046573928", 
              "https://doi.org/10.1038/srep06874"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4161/fly.19695", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046734556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkn750", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047414790"
            ], 
            "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": "https://doi.org/10.1074/jbc.m308312200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049165619"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btt652", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049535667"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2779", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050625874", 
              "https://doi.org/10.1038/nrg2779"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2779", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050625874", 
              "https://doi.org/10.1038/nrg2779"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng826", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051591016", 
              "https://doi.org/10.1038/ng826"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng826", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051591016", 
              "https://doi.org/10.1038/ng826"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/chem.200900397", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052661998"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/chem.200900397", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052661998"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1086/500053", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058782537"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkh008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059931905"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkh095", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059931992"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1210/jcem.84.7.5864", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064322809"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1375/twin.7.6.670", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1067170085"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1075102143", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2017-04", 
        "datePublishedReg": "2017-04-01", 
        "description": "Genetic factors modifying the blood metabolome have been investigated through genome-wide association studies (GWAS) of common genetic variants and through exome sequencing. We conducted a whole-genome sequencing study of common, low-frequency and rare variants to associate genetic variations with blood metabolite levels using comprehensive metabolite profiling in 1,960 adults. We focused the analysis on 644 metabolites with consistent levels across three longitudinal data collections. Genetic sequence variations at 101 loci were associated with the levels of 246 (38%) metabolites (P \u2264 1.9 \u00d7 10-11). We identified 113 (10.7%) among 1,054 unrelated individuals in the cohort who carried heterozygous rare variants likely influencing the function of 17 genes. Thirteen of the 17 genes are associated with inborn errors of metabolism or other pediatric genetic conditions. This study extends the map of loci influencing the metabolome and highlights the importance of heterozygous rare variants in determining abnormal blood metabolic phenotypes in adults.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/ng.3809", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3785080", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3778985", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4106805", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1103138", 
            "issn": [
              "1061-4036", 
              "1546-1718"
            ], 
            "name": "Nature Genetics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "49"
          }
        ], 
        "name": "Whole-genome sequencing identifies common-to-rare variants associated with human blood metabolites", 
        "pagination": "568-578", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "b8f3cad321e45c23b73892d3dacce9198eff1070406a403fd9ad8f79f10fd1d0"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "28263315"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9216904"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/ng.3809"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1084129149"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/ng.3809", 
          "https://app.dimensions.ai/details/publication/pub.1084129149"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T00:55", 
        "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_8697_00000427.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://www.nature.com/ng/journal/v49/n4/full/ng.3809.html"
      }
    ]
     

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

    HOW TO GET THIS DATA PROGRAMMATICALLY:

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

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/ng.3809'

    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/ng.3809'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ng.3809'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ng.3809'


     

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

    496 TRIPLES      21 PREDICATES      104 URIs      35 LITERALS      23 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/ng.3809 schema:about N03cd64fff6994593b4841f9220be3aa2
    2 N22835124804c4dd7a8a2229ce8725892
    3 N23cb50e5c1e84c739f9342fbbddeaa2e
    4 N3f7e07393ad24ba28487dab472c7c78b
    5 N407978dd78ab4cf1ad00c2ee25084bc8
    6 N4eaa52c136c74b7b823e7736f7df17fa
    7 N6e7b5a94d83443079b7c8039d347266e
    8 N8889ff1704844a81aa484425528d42a8
    9 N915224a45c1f490bba974ccc0ee98511
    10 Nc298364e01644270b0488578cccb79dd
    11 Nd29acbc877b84d518fcedd97e48ffa07
    12 Ndcb2857983c54b5da1f73b43d9a7b9b3
    13 Ne995f4d88600496bbca5d3856180fe7f
    14 Nf774db4cdb72460e8d62c89c8c89f5a3
    15 anzsrc-for:06
    16 anzsrc-for:0604
    17 schema:author N3143fc5bf62244e7939c49fbf3758789
    18 schema:citation sg:pub.10.1007/s00439-008-0521-9
    19 sg:pub.10.1007/s10985-013-9244-x
    20 sg:pub.10.1007/s11306-014-0629-y
    21 sg:pub.10.1038/75556
    22 sg:pub.10.1038/nature10354
    23 sg:pub.10.1038/ncomms11122
    24 sg:pub.10.1038/ncomms12360
    25 sg:pub.10.1038/ncomms8208
    26 sg:pub.10.1038/ng.2982
    27 sg:pub.10.1038/ng.3477
    28 sg:pub.10.1038/ng.837
    29 sg:pub.10.1038/ng1702
    30 sg:pub.10.1038/ng826
    31 sg:pub.10.1038/nrg2779
    32 sg:pub.10.1038/nrg3314
    33 sg:pub.10.1038/srep06874
    34 sg:pub.10.1203/00006450-200101000-00008
    35 https://app.dimensions.ai/details/publication/pub.1075102143
    36 https://doi.org/10.1002/chem.200900397
    37 https://doi.org/10.1002/gepi.21797
    38 https://doi.org/10.1002/gepi.21980
    39 https://doi.org/10.1006/geno.1993.1165
    40 https://doi.org/10.1006/geno.1998.5518
    41 https://doi.org/10.1016/0304-4165(96)00050-5
    42 https://doi.org/10.1016/j.ajhg.2011.05.029
    43 https://doi.org/10.1016/j.diabres.2010.06.023
    44 https://doi.org/10.1016/j.febslet.2011.12.027
    45 https://doi.org/10.1016/j.jsb.2004.01.011
    46 https://doi.org/10.1016/j.neurol.2015.11.008
    47 https://doi.org/10.1016/s1096-7192(02)00138-5
    48 https://doi.org/10.1017/thg.2012.89
    49 https://doi.org/10.1073/pnas.1508425112
    50 https://doi.org/10.1073/pnas.1613365113
    51 https://doi.org/10.1074/jbc.m308312200
    52 https://doi.org/10.1086/500053
    53 https://doi.org/10.1086/519795
    54 https://doi.org/10.1093/bioinformatics/btr330
    55 https://doi.org/10.1093/bioinformatics/btt314
    56 https://doi.org/10.1093/bioinformatics/btt652
    57 https://doi.org/10.1093/hmg/7.4.619
    58 https://doi.org/10.1093/hmg/ddv263
    59 https://doi.org/10.1093/ije/dyr207
    60 https://doi.org/10.1093/ije/dyt094
    61 https://doi.org/10.1093/nar/28.1.27
    62 https://doi.org/10.1093/nar/gkh008
    63 https://doi.org/10.1093/nar/gkh095
    64 https://doi.org/10.1093/nar/gkn750
    65 https://doi.org/10.1093/nar/gkt1229
    66 https://doi.org/10.1093/nar/gkv1157
    67 https://doi.org/10.1101/gr.094052.109
    68 https://doi.org/10.1101/gr.135350.111
    69 https://doi.org/10.1126/science.1262110
    70 https://doi.org/10.1161/circgenetics.114.000697
    71 https://doi.org/10.1210/jcem.84.7.5864
    72 https://doi.org/10.1371/journal.pgen.1000282
    73 https://doi.org/10.1371/journal.pgen.1003005
    74 https://doi.org/10.1371/journal.pgen.1004835
    75 https://doi.org/10.1375/twin.7.6.670
    76 https://doi.org/10.1620/tjem.185.67
    77 https://doi.org/10.2337/diacare.27.8.1859
    78 https://doi.org/10.4161/fly.19695
    79 schema:datePublished 2017-04
    80 schema:datePublishedReg 2017-04-01
    81 schema:description Genetic factors modifying the blood metabolome have been investigated through genome-wide association studies (GWAS) of common genetic variants and through exome sequencing. We conducted a whole-genome sequencing study of common, low-frequency and rare variants to associate genetic variations with blood metabolite levels using comprehensive metabolite profiling in 1,960 adults. We focused the analysis on 644 metabolites with consistent levels across three longitudinal data collections. Genetic sequence variations at 101 loci were associated with the levels of 246 (38%) metabolites (P ≤ 1.9 × 10<sup>-11</sup>). We identified 113 (10.7%) among 1,054 unrelated individuals in the cohort who carried heterozygous rare variants likely influencing the function of 17 genes. Thirteen of the 17 genes are associated with inborn errors of metabolism or other pediatric genetic conditions. This study extends the map of loci influencing the metabolome and highlights the importance of heterozygous rare variants in determining abnormal blood metabolic phenotypes in adults.
    82 schema:genre research_article
    83 schema:inLanguage en
    84 schema:isAccessibleForFree false
    85 schema:isPartOf Nb0fb29001f9c422783380d42a32fbdac
    86 Nebaf89d2233144859536183f43742935
    87 sg:journal.1103138
    88 schema:name Whole-genome sequencing identifies common-to-rare variants associated with human blood metabolites
    89 schema:pagination 568-578
    90 schema:productId N32cfe9ff63e24745bf62f848e7894958
    91 Nadef6fc564674ac4b0595c224dff5adf
    92 Nc2eac232c50c4f4584214242c65b6373
    93 Ncbac7b55b77d49e3920cffbeeec3d016
    94 Nd0453636348e416592a18f737db8a4de
    95 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084129149
    96 https://doi.org/10.1038/ng.3809
    97 schema:sdDatePublished 2019-04-11T00:55
    98 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    99 schema:sdPublisher N8af72ca38c28494297fb075f36b10bb6
    100 schema:url http://www.nature.com/ng/journal/v49/n4/full/ng.3809.html
    101 sgo:license sg:explorer/license/
    102 sgo:sdDataset articles
    103 rdf:type schema:ScholarlyArticle
    104 N03cd64fff6994593b4841f9220be3aa2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    105 schema:name Male
    106 rdf:type schema:DefinedTerm
    107 N0440c5e606e14d16ac62491acc1686c1 rdf:first sg:person.014515120077.14
    108 rdf:rest N698e7eae777f47dc8b95b5a089e7e34b
    109 N08a93d6bc17446dd9f31f22aada3dfa5 rdf:first sg:person.01043744667.67
    110 rdf:rest N7c3cbd43448f4f9ab6ea90695150d83c
    111 N22835124804c4dd7a8a2229ce8725892 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    112 schema:name Metabolome
    113 rdf:type schema:DefinedTerm
    114 N23cb50e5c1e84c739f9342fbbddeaa2e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    115 schema:name Genetic Variation
    116 rdf:type schema:DefinedTerm
    117 N2aa97737ae7d4ec6a3aba046033e5353 schema:affiliation https://www.grid.ac/institutes/grid.459583.6
    118 schema:familyName Messier
    119 schema:givenName Helen
    120 rdf:type schema:Person
    121 N2afded9c074847de84a8a01da48cc5f2 rdf:first sg:person.01313100601.60
    122 rdf:rest Nbf4fb9c1cf0c4906b70aedd19f6b1b04
    123 N2e95f811ee494e0da516b1de918fdce6 rdf:first sg:person.0712031202.81
    124 rdf:rest N7b67a968cea44f2a8d5583ef474e0791
    125 N3143fc5bf62244e7939c49fbf3758789 rdf:first sg:person.010606557337.70
    126 rdf:rest Nd80ded3908c04bc2ab14ab005b1d07d5
    127 N32cfe9ff63e24745bf62f848e7894958 schema:name dimensions_id
    128 schema:value pub.1084129149
    129 rdf:type schema:PropertyValue
    130 N3f7e07393ad24ba28487dab472c7c78b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name Quantitative Trait Loci
    132 rdf:type schema:DefinedTerm
    133 N407978dd78ab4cf1ad00c2ee25084bc8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    134 schema:name Phenotype
    135 rdf:type schema:DefinedTerm
    136 N4412d5a6ee38494d9bbb87a37246db54 rdf:first sg:person.015674464163.40
    137 rdf:rest Necb6868a010b44c0a0b80d13fcc5b77c
    138 N4eaa52c136c74b7b823e7736f7df17fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    139 schema:name Aged
    140 rdf:type schema:DefinedTerm
    141 N513e4be908a8404096f1b47f03641cce rdf:first sg:person.014424006237.85
    142 rdf:rest N93a909bb64a0487d9b368896efacc0b4
    143 N5a24b92de3db4ceb87aab8521f89dc0f rdf:first sg:person.01207170136.04
    144 rdf:rest N0440c5e606e14d16ac62491acc1686c1
    145 N6656a3d5069d4e00820eb9a198e2b904 schema:name Human Longevity Singapore, Pte. Ltd., Singapore.
    146 rdf:type schema:Organization
    147 N67ffed731ace4cf899d9e28a9ac04945 rdf:first sg:person.01212126575.59
    148 rdf:rest Na62d2c8b369049adb093b2c4cbc26526
    149 N698e7eae777f47dc8b95b5a089e7e34b rdf:first sg:person.0600666174.70
    150 rdf:rest N513e4be908a8404096f1b47f03641cce
    151 N6e7b5a94d83443079b7c8039d347266e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    152 schema:name Genetic Predisposition to Disease
    153 rdf:type schema:DefinedTerm
    154 N7084ed03fd4a44838aee766dead8ef61 schema:name Human Longevity Singapore, Pte. Ltd., Singapore.
    155 rdf:type schema:Organization
    156 N7b67a968cea44f2a8d5583ef474e0791 rdf:first sg:person.0744465137.98
    157 rdf:rest N2afded9c074847de84a8a01da48cc5f2
    158 N7c3cbd43448f4f9ab6ea90695150d83c rdf:first sg:person.0617452367.36
    159 rdf:rest N67ffed731ace4cf899d9e28a9ac04945
    160 N8889ff1704844a81aa484425528d42a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    161 schema:name Middle Aged
    162 rdf:type schema:DefinedTerm
    163 N89d38c2c8d4f443bb01ec7b17617baf8 rdf:first N2aa97737ae7d4ec6a3aba046033e5353
    164 rdf:rest Nc2cf3fc51f484b10b4687eacb47df778
    165 N8af72ca38c28494297fb075f36b10bb6 schema:name Springer Nature - SN SciGraph project
    166 rdf:type schema:Organization
    167 N915224a45c1f490bba974ccc0ee98511 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    168 schema:name Exome
    169 rdf:type schema:DefinedTerm
    170 N93a909bb64a0487d9b368896efacc0b4 rdf:first sg:person.01225154174.08
    171 rdf:rest Nbb0dede9d9164da7b3e8448a4b5059e2
    172 Na62d2c8b369049adb093b2c4cbc26526 rdf:first sg:person.0711664555.48
    173 rdf:rest N89d38c2c8d4f443bb01ec7b17617baf8
    174 Nadef6fc564674ac4b0595c224dff5adf schema:name doi
    175 schema:value 10.1038/ng.3809
    176 rdf:type schema:PropertyValue
    177 Nb0fb29001f9c422783380d42a32fbdac schema:issueNumber 4
    178 rdf:type schema:PublicationIssue
    179 Nbb0dede9d9164da7b3e8448a4b5059e2 rdf:first sg:person.01162002733.02
    180 rdf:rest rdf:nil
    181 Nbf4fb9c1cf0c4906b70aedd19f6b1b04 rdf:first sg:person.01173242543.29
    182 rdf:rest Nde0a526ce6344de1b527adb06adfeb07
    183 Nc298364e01644270b0488578cccb79dd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    184 schema:name Genome-Wide Association Study
    185 rdf:type schema:DefinedTerm
    186 Nc2cf3fc51f484b10b4687eacb47df778 rdf:first sg:person.0767443706.46
    187 rdf:rest N2e95f811ee494e0da516b1de918fdce6
    188 Nc2eac232c50c4f4584214242c65b6373 schema:name nlm_unique_id
    189 schema:value 9216904
    190 rdf:type schema:PropertyValue
    191 Ncbac7b55b77d49e3920cffbeeec3d016 schema:name pubmed_id
    192 schema:value 28263315
    193 rdf:type schema:PropertyValue
    194 Nd0453636348e416592a18f737db8a4de schema:name readcube_id
    195 schema:value b8f3cad321e45c23b73892d3dacce9198eff1070406a403fd9ad8f79f10fd1d0
    196 rdf:type schema:PropertyValue
    197 Nd29acbc877b84d518fcedd97e48ffa07 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    198 schema:name Adult
    199 rdf:type schema:DefinedTerm
    200 Nd80ded3908c04bc2ab14ab005b1d07d5 rdf:first sg:person.0727730534.39
    201 rdf:rest Neb00725d516b4b27a93081e5d6983d1d
    202 Ndcb2857983c54b5da1f73b43d9a7b9b3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    203 schema:name Female
    204 rdf:type schema:DefinedTerm
    205 Nde0a526ce6344de1b527adb06adfeb07 rdf:first sg:person.01361214001.17
    206 rdf:rest N5a24b92de3db4ceb87aab8521f89dc0f
    207 Ne995f4d88600496bbca5d3856180fe7f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    208 schema:name Humans
    209 rdf:type schema:DefinedTerm
    210 Neb00725d516b4b27a93081e5d6983d1d rdf:first sg:person.01057054562.52
    211 rdf:rest N4412d5a6ee38494d9bbb87a37246db54
    212 Nebaf89d2233144859536183f43742935 schema:volumeNumber 49
    213 rdf:type schema:PublicationVolume
    214 Necb6868a010b44c0a0b80d13fcc5b77c rdf:first sg:person.01276540042.38
    215 rdf:rest N08a93d6bc17446dd9f31f22aada3dfa5
    216 Nf774db4cdb72460e8d62c89c8c89f5a3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    217 schema:name Blood
    218 rdf:type schema:DefinedTerm
    219 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    220 schema:name Biological Sciences
    221 rdf:type schema:DefinedTerm
    222 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    223 schema:name Genetics
    224 rdf:type schema:DefinedTerm
    225 sg:grant.3778985 http://pending.schema.org/fundedItem sg:pub.10.1038/ng.3809
    226 rdf:type schema:MonetaryGrant
    227 sg:grant.3785080 http://pending.schema.org/fundedItem sg:pub.10.1038/ng.3809
    228 rdf:type schema:MonetaryGrant
    229 sg:grant.4106805 http://pending.schema.org/fundedItem sg:pub.10.1038/ng.3809
    230 rdf:type schema:MonetaryGrant
    231 sg:journal.1103138 schema:issn 1061-4036
    232 1546-1718
    233 schema:name Nature Genetics
    234 rdf:type schema:Periodical
    235 sg:person.01043744667.67 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    236 schema:familyName Menni
    237 schema:givenName Cristina
    238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043744667.67
    239 rdf:type schema:Person
    240 sg:person.01057054562.52 schema:affiliation https://www.grid.ac/institutes/grid.459583.6
    241 schema:familyName Yu
    242 schema:givenName Hung-Chun
    243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057054562.52
    244 rdf:type schema:Person
    245 sg:person.010606557337.70 schema:affiliation https://www.grid.ac/institutes/grid.459583.6
    246 schema:familyName Long
    247 schema:givenName Tao
    248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010606557337.70
    249 rdf:type schema:Person
    250 sg:person.01162002733.02 schema:affiliation https://www.grid.ac/institutes/grid.469946.0
    251 schema:familyName Telenti
    252 schema:givenName Amalio
    253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162002733.02
    254 rdf:type schema:Person
    255 sg:person.01173242543.29 schema:affiliation https://www.grid.ac/institutes/grid.429438.0
    256 schema:familyName Miller
    257 schema:givenName Luke A D
    258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173242543.29
    259 rdf:type schema:Person
    260 sg:person.01207170136.04 schema:affiliation https://www.grid.ac/institutes/grid.39382.33
    261 schema:familyName Caskey
    262 schema:givenName C Thomas
    263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207170136.04
    264 rdf:type schema:Person
    265 sg:person.01212126575.59 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    266 schema:familyName Small
    267 schema:givenName Kerrin S
    268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212126575.59
    269 rdf:type schema:Person
    270 sg:person.01225154174.08 schema:affiliation https://www.grid.ac/institutes/grid.459583.6
    271 schema:familyName Venter
    272 schema:givenName J Craig
    273 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225154174.08
    274 rdf:type schema:Person
    275 sg:person.01276540042.38 schema:affiliation https://www.grid.ac/institutes/grid.459583.6
    276 schema:familyName Kirkness
    277 schema:givenName Ewen F
    278 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276540042.38
    279 rdf:type schema:Person
    280 sg:person.01313100601.60 schema:affiliation https://www.grid.ac/institutes/grid.429438.0
    281 schema:familyName Evans
    282 schema:givenName Anne M
    283 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313100601.60
    284 rdf:type schema:Person
    285 sg:person.01361214001.17 schema:affiliation https://www.grid.ac/institutes/grid.429438.0
    286 schema:familyName Guo
    287 schema:givenName Lining
    288 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361214001.17
    289 rdf:type schema:Person
    290 sg:person.014424006237.85 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    291 schema:familyName Spector
    292 schema:givenName Tim D
    293 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014424006237.85
    294 rdf:type schema:Person
    295 sg:person.014515120077.14 schema:affiliation https://www.grid.ac/institutes/grid.469946.0
    296 schema:familyName Schork
    297 schema:givenName Nicholas J
    298 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014515120077.14
    299 rdf:type schema:Person
    300 sg:person.015674464163.40 schema:affiliation https://www.grid.ac/institutes/grid.459583.6
    301 schema:familyName Biggs
    302 schema:givenName William H
    303 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015674464163.40
    304 rdf:type schema:Person
    305 sg:person.0600666174.70 schema:affiliation https://www.grid.ac/institutes/grid.459583.6
    306 schema:familyName Garner
    307 schema:givenName Chad
    308 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600666174.70
    309 rdf:type schema:Person
    310 sg:person.0617452367.36 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    311 schema:familyName Zierer
    312 schema:givenName Jonas
    313 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617452367.36
    314 rdf:type schema:Person
    315 sg:person.0711664555.48 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    316 schema:familyName Mangino
    317 schema:givenName Massimo
    318 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711664555.48
    319 rdf:type schema:Person
    320 sg:person.0712031202.81 schema:affiliation N7084ed03fd4a44838aee766dead8ef61
    321 schema:familyName Turpaz
    322 schema:givenName Yaron
    323 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712031202.81
    324 rdf:type schema:Person
    325 sg:person.0727730534.39 schema:affiliation https://www.grid.ac/institutes/grid.459583.6
    326 schema:familyName Hicks
    327 schema:givenName Michael
    328 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727730534.39
    329 rdf:type schema:Person
    330 sg:person.0744465137.98 schema:affiliation https://www.grid.ac/institutes/grid.459583.6
    331 schema:familyName Perkins
    332 schema:givenName Brad A
    333 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0744465137.98
    334 rdf:type schema:Person
    335 sg:person.0767443706.46 schema:affiliation N6656a3d5069d4e00820eb9a198e2b904
    336 schema:familyName Brewerton
    337 schema:givenName Suzanne
    338 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767443706.46
    339 rdf:type schema:Person
    340 sg:pub.10.1007/s00439-008-0521-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001646749
    341 https://doi.org/10.1007/s00439-008-0521-9
    342 rdf:type schema:CreativeWork
    343 sg:pub.10.1007/s10985-013-9244-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039076410
    344 https://doi.org/10.1007/s10985-013-9244-x
    345 rdf:type schema:CreativeWork
    346 sg:pub.10.1007/s11306-014-0629-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1030792672
    347 https://doi.org/10.1007/s11306-014-0629-y
    348 rdf:type schema:CreativeWork
    349 sg:pub.10.1038/75556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044135237
    350 https://doi.org/10.1038/75556
    351 rdf:type schema:CreativeWork
    352 sg:pub.10.1038/nature10354 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040072135
    353 https://doi.org/10.1038/nature10354
    354 rdf:type schema:CreativeWork
    355 sg:pub.10.1038/ncomms11122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034394716
    356 https://doi.org/10.1038/ncomms11122
    357 rdf:type schema:CreativeWork
    358 sg:pub.10.1038/ncomms12360 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037845505
    359 https://doi.org/10.1038/ncomms12360
    360 rdf:type schema:CreativeWork
    361 sg:pub.10.1038/ncomms8208 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003527515
    362 https://doi.org/10.1038/ncomms8208
    363 rdf:type schema:CreativeWork
    364 sg:pub.10.1038/ng.2982 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044995197
    365 https://doi.org/10.1038/ng.2982
    366 rdf:type schema:CreativeWork
    367 sg:pub.10.1038/ng.3477 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043158715
    368 https://doi.org/10.1038/ng.3477
    369 rdf:type schema:CreativeWork
    370 sg:pub.10.1038/ng.837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039725108
    371 https://doi.org/10.1038/ng.837
    372 rdf:type schema:CreativeWork
    373 sg:pub.10.1038/ng1702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035781360
    374 https://doi.org/10.1038/ng1702
    375 rdf:type schema:CreativeWork
    376 sg:pub.10.1038/ng826 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051591016
    377 https://doi.org/10.1038/ng826
    378 rdf:type schema:CreativeWork
    379 sg:pub.10.1038/nrg2779 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050625874
    380 https://doi.org/10.1038/nrg2779
    381 rdf:type schema:CreativeWork
    382 sg:pub.10.1038/nrg3314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044464559
    383 https://doi.org/10.1038/nrg3314
    384 rdf:type schema:CreativeWork
    385 sg:pub.10.1038/srep06874 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046573928
    386 https://doi.org/10.1038/srep06874
    387 rdf:type schema:CreativeWork
    388 sg:pub.10.1203/00006450-200101000-00008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010624908
    389 https://doi.org/10.1203/00006450-200101000-00008
    390 rdf:type schema:CreativeWork
    391 https://app.dimensions.ai/details/publication/pub.1075102143 schema:CreativeWork
    392 https://doi.org/10.1002/chem.200900397 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052661998
    393 rdf:type schema:CreativeWork
    394 https://doi.org/10.1002/gepi.21797 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001742959
    395 rdf:type schema:CreativeWork
    396 https://doi.org/10.1002/gepi.21980 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017403051
    397 rdf:type schema:CreativeWork
    398 https://doi.org/10.1006/geno.1993.1165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029618315
    399 rdf:type schema:CreativeWork
    400 https://doi.org/10.1006/geno.1998.5518 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033305352
    401 rdf:type schema:CreativeWork
    402 https://doi.org/10.1016/0304-4165(96)00050-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018854518
    403 rdf:type schema:CreativeWork
    404 https://doi.org/10.1016/j.ajhg.2011.05.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001583272
    405 rdf:type schema:CreativeWork
    406 https://doi.org/10.1016/j.diabres.2010.06.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034780749
    407 rdf:type schema:CreativeWork
    408 https://doi.org/10.1016/j.febslet.2011.12.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035324869
    409 rdf:type schema:CreativeWork
    410 https://doi.org/10.1016/j.jsb.2004.01.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024199705
    411 rdf:type schema:CreativeWork
    412 https://doi.org/10.1016/j.neurol.2015.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046296798
    413 rdf:type schema:CreativeWork
    414 https://doi.org/10.1016/s1096-7192(02)00138-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014890282
    415 rdf:type schema:CreativeWork
    416 https://doi.org/10.1017/thg.2012.89 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029996059
    417 rdf:type schema:CreativeWork
    418 https://doi.org/10.1073/pnas.1508425112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012834656
    419 rdf:type schema:CreativeWork
    420 https://doi.org/10.1073/pnas.1613365113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015862177
    421 rdf:type schema:CreativeWork
    422 https://doi.org/10.1074/jbc.m308312200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049165619
    423 rdf:type schema:CreativeWork
    424 https://doi.org/10.1086/500053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058782537
    425 rdf:type schema:CreativeWork
    426 https://doi.org/10.1086/519795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019061180
    427 rdf:type schema:CreativeWork
    428 https://doi.org/10.1093/bioinformatics/btr330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018404011
    429 rdf:type schema:CreativeWork
    430 https://doi.org/10.1093/bioinformatics/btt314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011523710
    431 rdf:type schema:CreativeWork
    432 https://doi.org/10.1093/bioinformatics/btt652 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049535667
    433 rdf:type schema:CreativeWork
    434 https://doi.org/10.1093/hmg/7.4.619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028855572
    435 rdf:type schema:CreativeWork
    436 https://doi.org/10.1093/hmg/ddv263 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018784661
    437 rdf:type schema:CreativeWork
    438 https://doi.org/10.1093/ije/dyr207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001707041
    439 rdf:type schema:CreativeWork
    440 https://doi.org/10.1093/ije/dyt094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015074772
    441 rdf:type schema:CreativeWork
    442 https://doi.org/10.1093/nar/28.1.27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017305614
    443 rdf:type schema:CreativeWork
    444 https://doi.org/10.1093/nar/gkh008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021881150
    445 https://app.dimensions.ai/details/publication/pub.1059931905
    446 rdf:type schema:CreativeWork
    447 https://doi.org/10.1093/nar/gkh095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018337528
    448 https://app.dimensions.ai/details/publication/pub.1059931992
    449 rdf:type schema:CreativeWork
    450 https://doi.org/10.1093/nar/gkn750 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047414790
    451 rdf:type schema:CreativeWork
    452 https://doi.org/10.1093/nar/gkt1229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047459836
    453 rdf:type schema:CreativeWork
    454 https://doi.org/10.1093/nar/gkv1157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037937986
    455 rdf:type schema:CreativeWork
    456 https://doi.org/10.1101/gr.094052.109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010760027
    457 rdf:type schema:CreativeWork
    458 https://doi.org/10.1101/gr.135350.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012073457
    459 rdf:type schema:CreativeWork
    460 https://doi.org/10.1126/science.1262110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029707840
    461 rdf:type schema:CreativeWork
    462 https://doi.org/10.1161/circgenetics.114.000697 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017811217
    463 rdf:type schema:CreativeWork
    464 https://doi.org/10.1210/jcem.84.7.5864 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064322809
    465 rdf:type schema:CreativeWork
    466 https://doi.org/10.1371/journal.pgen.1000282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041945577
    467 rdf:type schema:CreativeWork
    468 https://doi.org/10.1371/journal.pgen.1003005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016134453
    469 rdf:type schema:CreativeWork
    470 https://doi.org/10.1371/journal.pgen.1004835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019493006
    471 rdf:type schema:CreativeWork
    472 https://doi.org/10.1375/twin.7.6.670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067170085
    473 rdf:type schema:CreativeWork
    474 https://doi.org/10.1620/tjem.185.67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043609961
    475 rdf:type schema:CreativeWork
    476 https://doi.org/10.2337/diacare.27.8.1859 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025289421
    477 rdf:type schema:CreativeWork
    478 https://doi.org/10.4161/fly.19695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046734556
    479 rdf:type schema:CreativeWork
    480 https://www.grid.ac/institutes/grid.13097.3c schema:alternateName King's College London
    481 schema:name Department of Twin Research and Genetic Epidemiology, King's College, London, UK.
    482 rdf:type schema:Organization
    483 https://www.grid.ac/institutes/grid.39382.33 schema:alternateName Baylor College of Medicine
    484 schema:name Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
    485 rdf:type schema:Organization
    486 https://www.grid.ac/institutes/grid.429438.0 schema:alternateName Metabolon (United States)
    487 schema:name Metabolon, Inc., Durham, North Carolina, USA.
    488 rdf:type schema:Organization
    489 https://www.grid.ac/institutes/grid.459583.6 schema:alternateName Human Longevity (United States)
    490 schema:name Health Nucleus, San Diego, California, USA.
    491 Human Longevity, Inc., San Diego, California, USA.
    492 rdf:type schema:Organization
    493 https://www.grid.ac/institutes/grid.469946.0 schema:alternateName J. Craig Venter Institute
    494 schema:name Human Longevity, Inc., San Diego, California, USA.
    495 J. Craig Venter Institute, La Jolla, California, USA.
    496 rdf:type schema:Organization
     




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


    ...