Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-10

AUTHORS

Jian Yang, Andrew Bakshi, Zhihong Zhu, Gibran Hemani, Anna A E Vinkhuyzen, Sang Hong Lee, Matthew R Robinson, John R B Perry, Ilja M Nolte, Jana V van Vliet-Ostaptchouk, Harold Snieder, The LifeLines Cohort Study, Tonu Esko, Lili Milani, Reedik Mägi, Andres Metspalu, Anders Hamsten, Patrik K E Magnusson, Nancy L Pedersen, Erik Ingelsson, Nicole Soranzo, Matthew C Keller, Naomi R Wray, Michael E Goddard, Peter M Visscher

ABSTRACT

We propose a method (GREML-LDMS) to estimate heritability for human complex traits in unrelated individuals using whole-genome sequencing data. We demonstrate using simulations based on whole-genome sequencing data that ∼97% and ∼68% of variation at common and rare variants, respectively, can be captured by imputation. Using the GREML-LDMS method, we estimate from 44,126 unrelated individuals that all ∼17 million imputed variants explain 56% (standard error (s.e.) = 2.3%) of variance for height and 27% (s.e. = 2.5%) of variance for body mass index (BMI), and we find evidence that height- and BMI-associated variants have been under natural selection. Considering the imperfect tagging of imputation and potential overestimation of heritability from previous family-based studies, heritability is likely to be 60-70% for height and 30-40% for BMI. Therefore, the missing heritability is small for both traits. For further discovery of genes associated with complex traits, a study design with SNP arrays followed by imputation is more cost-effective than whole-genome sequencing at current prices. More... »

PAGES

1114-1120

References to SciGraph publications

  • 2012-08. Fast and accurate genotype imputation in genome-wide association studies through pre-phasing in NATURE GENETICS
  • 2014-11. Defining the role of common variation in the genomic and biological architecture of adult human height in NATURE GENETICS
  • 2015-10. The UK10K project identifies rare variants in health and disease in NATURE
  • 2012-05. Evidence-based psychiatric genetics, AKA the false dichotomy between common and rare variant hypotheses in MOLECULAR PSYCHIATRY
  • 2006-08. Principal components analysis corrects for stratification in genome-wide association studies in NATURE GENETICS
  • 2012-01. Repetitive DNA and next-generation sequencing: computational challenges and solutions in NATURE REVIEWS GENETICS
  • 2012-06. Extremely low-coverage sequencing and imputation increases power for genome-wide association studies in NATURE GENETICS
  • 2012-11. Host–microbe interactions have shaped the genetic architecture of inflammatory bowel disease in NATURE
  • 2012-03. Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs in NATURE GENETICS
  • 2014-12. Leveraging population admixture to characterize the heritability of complex traits in NATURE GENETICS
  • 2014-03. The deleterious mutation load is insensitive to recent population history in NATURE GENETICS
  • 2013-08. Whole-genome sequence-based analysis of high-density lipoprotein cholesterol in NATURE GENETICS
  • 2010-10-28. A map of human genome variation from population-scale sequencing in NATURE
  • 2014-10. Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche in NATURE
  • 2010-11. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index in NATURE GENETICS
  • 2015-02. Genetic studies of body mass index yield new insights for obesity biology in NATURE
  • 2010-07. Common SNPs explain a large proportion of the heritability for human height in NATURE GENETICS
  • 2014-07. Biological insights from 108 schizophrenia-associated genetic loci in NATURE
  • 2014-02. Sequencing depth and coverage: key considerations in genomic analyses in NATURE REVIEWS GENETICS
  • 2009-10-08. Finding the missing heritability of complex diseases in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/ng.3390

    DOI

    http://dx.doi.org/10.1038/ng.3390

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1001620489

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/26323059


    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": "Body Height", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Body Mass Index", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genetic Variation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome, Human", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Queensland", 
              "id": "https://www.grid.ac/institutes/grid.1003.2", 
              "name": [
                "Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia.", 
                "University of Queensland Diamantina Institute, Translation Research Institute, Brisbane, Queensland, Australia."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yang", 
            "givenName": "Jian", 
            "id": "sg:person.0730724336.65", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0730724336.65"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Queensland", 
              "id": "https://www.grid.ac/institutes/grid.1003.2", 
              "name": [
                "Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bakshi", 
            "givenName": "Andrew", 
            "id": "sg:person.01344044711.86", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344044711.86"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Queensland", 
              "id": "https://www.grid.ac/institutes/grid.1003.2", 
              "name": [
                "Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhu", 
            "givenName": "Zhihong", 
            "id": "sg:person.01212210305.98", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212210305.98"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Queensland", 
              "id": "https://www.grid.ac/institutes/grid.1003.2", 
              "name": [
                "Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia.", 
                "Medical Research Council (MRC) Integrative Epidemiology Unit (IEU) at the University of Bristol, School of Social and Community Medicine, Bristol, UK."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hemani", 
            "givenName": "Gibran", 
            "id": "sg:person.011234570267.86", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011234570267.86"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Queensland", 
              "id": "https://www.grid.ac/institutes/grid.1003.2", 
              "name": [
                "Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vinkhuyzen", 
            "givenName": "Anna A E", 
            "id": "sg:person.01071450175.91", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01071450175.91"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of New England", 
              "id": "https://www.grid.ac/institutes/grid.1020.3", 
              "name": [
                "Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia.", 
                "School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lee", 
            "givenName": "Sang Hong", 
            "id": "sg:person.01030306151.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030306151.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Queensland", 
              "id": "https://www.grid.ac/institutes/grid.1003.2", 
              "name": [
                "Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Robinson", 
            "givenName": "Matthew R", 
            "id": "sg:person.0726250204.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726250204.50"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Institute of Metabolic Science", 
              "id": "https://www.grid.ac/institutes/grid.470900.a", 
              "name": [
                "MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Perry", 
            "givenName": "John R B", 
            "id": "sg:person.015600745002.61", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015600745002.61"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University Medical Center Groningen", 
              "id": "https://www.grid.ac/institutes/grid.4494.d", 
              "name": [
                "Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nolte", 
            "givenName": "Ilja M", 
            "id": "sg:person.01316742644.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01316742644.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University Medical Center Groningen", 
              "id": "https://www.grid.ac/institutes/grid.4494.d", 
              "name": [
                "Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.", 
                "Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands."
              ], 
              "type": "Organization"
            }, 
            "familyName": "van Vliet-Ostaptchouk", 
            "givenName": "Jana V", 
            "id": "sg:person.01027627427.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027627427.14"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University Medical Center Groningen", 
              "id": "https://www.grid.ac/institutes/grid.4494.d", 
              "name": [
                "Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Snieder", 
            "givenName": "Harold", 
            "id": "sg:person.01153432015.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153432015.08"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Study", 
            "givenName": "The LifeLines Cohort", 
            "id": "sg:person.014407564701.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014407564701.02"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Harvard University", 
              "id": "https://www.grid.ac/institutes/grid.38142.3c", 
              "name": [
                "Estonian Genome Center, University of Tartu, Tartu, Estonia.", 
                "Division of Endocrinology, Boston Children's Hospital, Cambridge, Massachusetts, USA.", 
                "Program in Medical and Populational Genetics, Broad Institute, Cambridge, Massachusetts, USA.", 
                "Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Esko", 
            "givenName": "Tonu", 
            "id": "sg:person.01264737414.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264737414.70"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Tartu", 
              "id": "https://www.grid.ac/institutes/grid.10939.32", 
              "name": [
                "Estonian Genome Center, University of Tartu, Tartu, Estonia."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Milani", 
            "givenName": "Lili", 
            "id": "sg:person.01120140410.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120140410.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Tartu", 
              "id": "https://www.grid.ac/institutes/grid.10939.32", 
              "name": [
                "Estonian Genome Center, University of Tartu, Tartu, Estonia."
              ], 
              "type": "Organization"
            }, 
            "familyName": "M\u00e4gi", 
            "givenName": "Reedik", 
            "id": "sg:person.0720114066.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720114066.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Tartu", 
              "id": "https://www.grid.ac/institutes/grid.10939.32", 
              "name": [
                "Estonian Genome Center, University of Tartu, Tartu, Estonia.", 
                "Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Metspalu", 
            "givenName": "Andres", 
            "id": "sg:person.01313145634.66", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313145634.66"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Karolinska Institute", 
              "id": "https://www.grid.ac/institutes/grid.4714.6", 
              "name": [
                "Cardiovascular Genetics and Genomics Group, Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hamsten", 
            "givenName": "Anders", 
            "id": "sg:person.01034121076.87", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034121076.87"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Karolinska Institute", 
              "id": "https://www.grid.ac/institutes/grid.4714.6", 
              "name": [
                "Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Magnusson", 
            "givenName": "Patrik K E", 
            "id": "sg:person.015576406233.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015576406233.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Karolinska Institute", 
              "id": "https://www.grid.ac/institutes/grid.4714.6", 
              "name": [
                "Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pedersen", 
            "givenName": "Nancy L", 
            "id": "sg:person.0750524661.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750524661.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Stanford University", 
              "id": "https://www.grid.ac/institutes/grid.168010.e", 
              "name": [
                "Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.", 
                "Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ingelsson", 
            "givenName": "Erik", 
            "id": "sg:person.01145654113.82", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145654113.82"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Cambridge", 
              "id": "https://www.grid.ac/institutes/grid.5335.0", 
              "name": [
                "Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, UK.", 
                "Department of Haematology, University of Cambridge, Cambridge, UK."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Soranzo", 
            "givenName": "Nicole", 
            "id": "sg:person.0743320722.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743320722.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Colorado Boulder", 
              "id": "https://www.grid.ac/institutes/grid.266190.a", 
              "name": [
                "Department of Psychology and Neuroscience, University of Colorado, Boulder, Colorado, USA.", 
                "Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Keller", 
            "givenName": "Matthew C", 
            "id": "sg:person.010260323777.84", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010260323777.84"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Queensland", 
              "id": "https://www.grid.ac/institutes/grid.1003.2", 
              "name": [
                "Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wray", 
            "givenName": "Naomi R", 
            "id": "sg:person.01024027537.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024027537.42"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Environment, Land, Water and Planning", 
              "id": "https://www.grid.ac/institutes/grid.452205.4", 
              "name": [
                "Faculty of Veterinary and Agricultural Science, University of Melbourne, Parkville, Victoria, Australia.", 
                "Biosciences Research Division, Department of Economic Development, Jobs, Transport and Resources, Bundoora, Victoria, Australia."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Goddard", 
            "givenName": "Michael E", 
            "id": "sg:person.0623730357.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623730357.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Queensland", 
              "id": "https://www.grid.ac/institutes/grid.1003.2", 
              "name": [
                "Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia.", 
                "University of Queensland Diamantina Institute, Translation Research Institute, Brisbane, Queensland, Australia."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Visscher", 
            "givenName": "Peter M", 
            "id": "sg:person.01033044533.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033044533.08"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/mp.2011.65", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000632110", 
              "https://doi.org/10.1038/mp.2011.65"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2013.10.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000749622"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2009.01.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005049647"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08494", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005147626", 
              "https://doi.org/10.1038/nature08494"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08494", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005147626", 
              "https://doi.org/10.1038/nature08494"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3097", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006357119", 
              "https://doi.org/10.1038/ng.3097"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13545", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007797493", 
              "https://doi.org/10.1038/nature13545"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13545", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007797493", 
              "https://doi.org/10.1038/nature13545"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2010.11.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009497006"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2011.02.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009526716"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09534", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010608717", 
              "https://doi.org/10.1038/nature09534"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09534", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010608717", 
              "https://doi.org/10.1038/nature09534"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg3642", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010746394", 
              "https://doi.org/10.1038/nrg3642"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.686", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013643799", 
              "https://doi.org/10.1038/ng.686"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.686", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013643799", 
              "https://doi.org/10.1038/ng.686"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.608", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015057090", 
              "https://doi.org/10.1038/ng.608"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.608", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015057090", 
              "https://doi.org/10.1038/ng.608"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1003993", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017608392"
            ], 
            "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.1003355", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019838558"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2283", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020345108", 
              "https://doi.org/10.1038/ng.2283"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2013.10.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021022413"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13595", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021916306", 
              "https://doi.org/10.1038/nature13595"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0906182107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022731697"
            ], 
            "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/ng1847", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031429813", 
              "https://doi.org/10.1038/ng1847"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1847", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031429813", 
              "https://doi.org/10.1038/ng1847"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2896", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033426202", 
              "https://doi.org/10.1038/ng.2896"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3139", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033662959", 
              "https://doi.org/10.1038/ng.3139"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.2671", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036646012", 
              "https://doi.org/10.1038/ng.2671"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1003520", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037195628"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1000529", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043446290"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg3117", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044335233", 
              "https://doi.org/10.1038/nrg3117"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11582", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046541188", 
              "https://doi.org/10.1038/nature11582"
            ], 
            "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.1108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049441089", 
              "https://doi.org/10.1038/ng.1108"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature14962", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049666571", 
              "https://doi.org/10.1038/nature14962"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bts474", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051113467"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2012.10.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051947179"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature14177", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053003561", 
              "https://doi.org/10.1038/nature14177"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2014.10.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053287809"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0016672310000571", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053938772"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/biomet/58.3.545", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059418034"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/015917", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085110450"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/015917", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085110450"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/015917", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085110450"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2015-10", 
        "datePublishedReg": "2015-10-01", 
        "description": "We propose a method (GREML-LDMS) to estimate heritability for human complex traits in unrelated individuals using whole-genome sequencing data. We demonstrate using simulations based on whole-genome sequencing data that \u223c97% and \u223c68% of variation at common and rare variants, respectively, can be captured by imputation. Using the GREML-LDMS method, we estimate from 44,126 unrelated individuals that all \u223c17 million imputed variants explain 56% (standard error (s.e.) = 2.3%) of variance for height and 27% (s.e. = 2.5%) of variance for body mass index (BMI), and we find evidence that height- and BMI-associated variants have been under natural selection. Considering the imperfect tagging of imputation and potential overestimation of heritability from previous family-based studies, heritability is likely to be 60-70% for height and 30-40% for BMI. Therefore, the missing heritability is small for both traits. For further discovery of genes associated with complex traits, a study design with SNP arrays followed by imputation is more cost-effective than whole-genome sequencing at current prices.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/ng.3390", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.6736244", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.6721191", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2552848", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.6736295", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4579549", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2775676", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2436443", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3560447", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4576591", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1103138", 
            "issn": [
              "1061-4036", 
              "1546-1718"
            ], 
            "name": "Nature Genetics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "10", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "47"
          }
        ], 
        "name": "Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index", 
        "pagination": "1114-1120", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "07b8083a4370176c1053126a905d05efa84a8e47583f1595d798c3c68ae2fecb"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "26323059"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9216904"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/ng.3390"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1001620489"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/ng.3390", 
          "https://app.dimensions.ai/details/publication/pub.1001620489"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T20:54", 
        "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_8684_00000559.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://www.nature.com/articles/ng.3390"
      }
    ]
     

    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.3390'

    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.3390'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ng.3390'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ng.3390'


     

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

    451 TRIPLES      21 PREDICATES      72 URIs      26 LITERALS      14 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/ng.3390 schema:about N0751b8ac27a74138a5239bd4cf2a1bbe
    2 N21bf56c34dea4a49aa00832c591c59ae
    3 N491518a5bb5942c3a355d7566affbb6f
    4 N783bb0f832814db09c410f53ca805133
    5 Nd12205f1b6d34e809b945d39b96e28f7
    6 anzsrc-for:06
    7 anzsrc-for:0604
    8 schema:author N79cd374d45d747e19a429ba6bd20b82d
    9 schema:citation sg:pub.10.1038/mp.2011.65
    10 sg:pub.10.1038/nature08494
    11 sg:pub.10.1038/nature09534
    12 sg:pub.10.1038/nature11582
    13 sg:pub.10.1038/nature13545
    14 sg:pub.10.1038/nature13595
    15 sg:pub.10.1038/nature14177
    16 sg:pub.10.1038/nature14962
    17 sg:pub.10.1038/ng.1108
    18 sg:pub.10.1038/ng.2283
    19 sg:pub.10.1038/ng.2354
    20 sg:pub.10.1038/ng.2671
    21 sg:pub.10.1038/ng.2896
    22 sg:pub.10.1038/ng.3097
    23 sg:pub.10.1038/ng.3139
    24 sg:pub.10.1038/ng.608
    25 sg:pub.10.1038/ng.686
    26 sg:pub.10.1038/ng1847
    27 sg:pub.10.1038/nrg3117
    28 sg:pub.10.1038/nrg3642
    29 https://doi.org/10.1016/j.ajhg.2009.01.013
    30 https://doi.org/10.1016/j.ajhg.2010.11.011
    31 https://doi.org/10.1016/j.ajhg.2011.02.002
    32 https://doi.org/10.1016/j.ajhg.2012.10.010
    33 https://doi.org/10.1016/j.ajhg.2013.10.005
    34 https://doi.org/10.1016/j.ajhg.2013.10.015
    35 https://doi.org/10.1016/j.ajhg.2014.10.004
    36 https://doi.org/10.1017/s0016672310000571
    37 https://doi.org/10.1073/pnas.0906182107
    38 https://doi.org/10.1086/519795
    39 https://doi.org/10.1093/bioinformatics/bts474
    40 https://doi.org/10.1093/biomet/58.3.545
    41 https://doi.org/10.1093/nar/gkt1229
    42 https://doi.org/10.1101/015917
    43 https://doi.org/10.1371/journal.pgen.1000529
    44 https://doi.org/10.1371/journal.pgen.1003355
    45 https://doi.org/10.1371/journal.pgen.1003520
    46 https://doi.org/10.1371/journal.pgen.1003993
    47 schema:datePublished 2015-10
    48 schema:datePublishedReg 2015-10-01
    49 schema:description We propose a method (GREML-LDMS) to estimate heritability for human complex traits in unrelated individuals using whole-genome sequencing data. We demonstrate using simulations based on whole-genome sequencing data that ∼97% and ∼68% of variation at common and rare variants, respectively, can be captured by imputation. Using the GREML-LDMS method, we estimate from 44,126 unrelated individuals that all ∼17 million imputed variants explain 56% (standard error (s.e.) = 2.3%) of variance for height and 27% (s.e. = 2.5%) of variance for body mass index (BMI), and we find evidence that height- and BMI-associated variants have been under natural selection. Considering the imperfect tagging of imputation and potential overestimation of heritability from previous family-based studies, heritability is likely to be 60-70% for height and 30-40% for BMI. Therefore, the missing heritability is small for both traits. For further discovery of genes associated with complex traits, a study design with SNP arrays followed by imputation is more cost-effective than whole-genome sequencing at current prices.
    50 schema:genre research_article
    51 schema:inLanguage en
    52 schema:isAccessibleForFree true
    53 schema:isPartOf N7a8d95e9c3c34889857d1d492a614812
    54 N939e8cf882804a12833b4e3d20befc95
    55 sg:journal.1103138
    56 schema:name Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index
    57 schema:pagination 1114-1120
    58 schema:productId N00e264072ca54c29bcb232b4a1826f10
    59 N5479e86fed704eb087494a25aa60673c
    60 N768862610f6140fdbeb3a0805cadc806
    61 Ne5533c87b57f4d179f7b790ff910f67f
    62 Nf5c37b1f30d740569e5561d00ad20228
    63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001620489
    64 https://doi.org/10.1038/ng.3390
    65 schema:sdDatePublished 2019-04-10T20:54
    66 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    67 schema:sdPublisher N943fa01be999495d9b6f18c6eeab895b
    68 schema:url http://www.nature.com/articles/ng.3390
    69 sgo:license sg:explorer/license/
    70 sgo:sdDataset articles
    71 rdf:type schema:ScholarlyArticle
    72 N00e264072ca54c29bcb232b4a1826f10 schema:name readcube_id
    73 schema:value 07b8083a4370176c1053126a905d05efa84a8e47583f1595d798c3c68ae2fecb
    74 rdf:type schema:PropertyValue
    75 N04dc7bffbc7441919495a7576da37155 rdf:first sg:person.015576406233.51
    76 rdf:rest N7f0af863c9a14ba285e198ab5e48f789
    77 N0751b8ac27a74138a5239bd4cf2a1bbe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    78 schema:name Genome, Human
    79 rdf:type schema:DefinedTerm
    80 N101be7e67a5846418fbfd0a247adc3cb rdf:first sg:person.0743320722.44
    81 rdf:rest N39e733700cf14040a1df27a79025d091
    82 N116e7c0cd857489eb90e3488521af859 rdf:first sg:person.01313145634.66
    83 rdf:rest Nc20c178047b346df9c489801e6f10c66
    84 N21bf56c34dea4a49aa00832c591c59ae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    85 schema:name Humans
    86 rdf:type schema:DefinedTerm
    87 N2d9aca95d3f544f4b82b23226f3a8a06 rdf:first sg:person.011234570267.86
    88 rdf:rest N63861526c91f459e93c98ae2ffc6de66
    89 N31bd222d4fce4e8fa3b5fc49d8cdba93 rdf:first sg:person.01212210305.98
    90 rdf:rest N2d9aca95d3f544f4b82b23226f3a8a06
    91 N39e733700cf14040a1df27a79025d091 rdf:first sg:person.010260323777.84
    92 rdf:rest Nfd379f4726d04349a3b5763b16820802
    93 N3f4399f2392a4766b4319172db1f030e rdf:first sg:person.01145654113.82
    94 rdf:rest N101be7e67a5846418fbfd0a247adc3cb
    95 N47aeb41c43b34d02b6ccf61726fdfa56 rdf:first sg:person.0720114066.32
    96 rdf:rest N116e7c0cd857489eb90e3488521af859
    97 N491518a5bb5942c3a355d7566affbb6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    98 schema:name Body Height
    99 rdf:type schema:DefinedTerm
    100 N5412ca24374d4a3183d27b47107209f6 rdf:first sg:person.0726250204.50
    101 rdf:rest Nce73668a93f449d1b9b8c6dea5d0a02c
    102 N5479e86fed704eb087494a25aa60673c schema:name pubmed_id
    103 schema:value 26323059
    104 rdf:type schema:PropertyValue
    105 N63861526c91f459e93c98ae2ffc6de66 rdf:first sg:person.01071450175.91
    106 rdf:rest Nbb5f844a7ee946b19f2f9cc44b8f42fe
    107 N68c0a2e0b9234f32a1b0b229c80cd632 rdf:first sg:person.01344044711.86
    108 rdf:rest N31bd222d4fce4e8fa3b5fc49d8cdba93
    109 N69981da8d25043979740bd89aa572426 rdf:first sg:person.0623730357.31
    110 rdf:rest N8b78ea9d45334636bf08184142df626a
    111 N69b0c09b306c480a8d6086eaf0448c60 rdf:first sg:person.014407564701.02
    112 rdf:rest Ne9ffee4de5e846788cdc01d26ccd7537
    113 N768862610f6140fdbeb3a0805cadc806 schema:name dimensions_id
    114 schema:value pub.1001620489
    115 rdf:type schema:PropertyValue
    116 N783bb0f832814db09c410f53ca805133 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Body Mass Index
    118 rdf:type schema:DefinedTerm
    119 N79cd374d45d747e19a429ba6bd20b82d rdf:first sg:person.0730724336.65
    120 rdf:rest N68c0a2e0b9234f32a1b0b229c80cd632
    121 N7a8d95e9c3c34889857d1d492a614812 schema:issueNumber 10
    122 rdf:type schema:PublicationIssue
    123 N7f0af863c9a14ba285e198ab5e48f789 rdf:first sg:person.0750524661.10
    124 rdf:rest N3f4399f2392a4766b4319172db1f030e
    125 N8b78ea9d45334636bf08184142df626a rdf:first sg:person.01033044533.08
    126 rdf:rest rdf:nil
    127 N939e8cf882804a12833b4e3d20befc95 schema:volumeNumber 47
    128 rdf:type schema:PublicationVolume
    129 N943fa01be999495d9b6f18c6eeab895b schema:name Springer Nature - SN SciGraph project
    130 rdf:type schema:Organization
    131 Nb236251282574e2eb82159244e3ba2fb rdf:first sg:person.01120140410.39
    132 rdf:rest N47aeb41c43b34d02b6ccf61726fdfa56
    133 Nb585fb14e7f04a5a940969484749032d rdf:first sg:person.01153432015.08
    134 rdf:rest N69b0c09b306c480a8d6086eaf0448c60
    135 Nbb5f844a7ee946b19f2f9cc44b8f42fe rdf:first sg:person.01030306151.83
    136 rdf:rest N5412ca24374d4a3183d27b47107209f6
    137 Nc20c178047b346df9c489801e6f10c66 rdf:first sg:person.01034121076.87
    138 rdf:rest N04dc7bffbc7441919495a7576da37155
    139 Nc7272f6cf12f415ca3a32f2358511999 rdf:first sg:person.01316742644.30
    140 rdf:rest Ndf3de0f086c6467aa6e2e510d35f16f7
    141 Nce73668a93f449d1b9b8c6dea5d0a02c rdf:first sg:person.015600745002.61
    142 rdf:rest Nc7272f6cf12f415ca3a32f2358511999
    143 Nd12205f1b6d34e809b945d39b96e28f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    144 schema:name Genetic Variation
    145 rdf:type schema:DefinedTerm
    146 Ndf3de0f086c6467aa6e2e510d35f16f7 rdf:first sg:person.01027627427.14
    147 rdf:rest Nb585fb14e7f04a5a940969484749032d
    148 Ne5533c87b57f4d179f7b790ff910f67f schema:name doi
    149 schema:value 10.1038/ng.3390
    150 rdf:type schema:PropertyValue
    151 Ne9ffee4de5e846788cdc01d26ccd7537 rdf:first sg:person.01264737414.70
    152 rdf:rest Nb236251282574e2eb82159244e3ba2fb
    153 Nf5c37b1f30d740569e5561d00ad20228 schema:name nlm_unique_id
    154 schema:value 9216904
    155 rdf:type schema:PropertyValue
    156 Nfd379f4726d04349a3b5763b16820802 rdf:first sg:person.01024027537.42
    157 rdf:rest N69981da8d25043979740bd89aa572426
    158 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    159 schema:name Biological Sciences
    160 rdf:type schema:DefinedTerm
    161 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    162 schema:name Genetics
    163 rdf:type schema:DefinedTerm
    164 sg:grant.2436443 http://pending.schema.org/fundedItem sg:pub.10.1038/ng.3390
    165 rdf:type schema:MonetaryGrant
    166 sg:grant.2552848 http://pending.schema.org/fundedItem sg:pub.10.1038/ng.3390
    167 rdf:type schema:MonetaryGrant
    168 sg:grant.2775676 http://pending.schema.org/fundedItem sg:pub.10.1038/ng.3390
    169 rdf:type schema:MonetaryGrant
    170 sg:grant.3560447 http://pending.schema.org/fundedItem sg:pub.10.1038/ng.3390
    171 rdf:type schema:MonetaryGrant
    172 sg:grant.4576591 http://pending.schema.org/fundedItem sg:pub.10.1038/ng.3390
    173 rdf:type schema:MonetaryGrant
    174 sg:grant.4579549 http://pending.schema.org/fundedItem sg:pub.10.1038/ng.3390
    175 rdf:type schema:MonetaryGrant
    176 sg:grant.6721191 http://pending.schema.org/fundedItem sg:pub.10.1038/ng.3390
    177 rdf:type schema:MonetaryGrant
    178 sg:grant.6736244 http://pending.schema.org/fundedItem sg:pub.10.1038/ng.3390
    179 rdf:type schema:MonetaryGrant
    180 sg:grant.6736295 http://pending.schema.org/fundedItem sg:pub.10.1038/ng.3390
    181 rdf:type schema:MonetaryGrant
    182 sg:journal.1103138 schema:issn 1061-4036
    183 1546-1718
    184 schema:name Nature Genetics
    185 rdf:type schema:Periodical
    186 sg:person.01024027537.42 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
    187 schema:familyName Wray
    188 schema:givenName Naomi R
    189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024027537.42
    190 rdf:type schema:Person
    191 sg:person.010260323777.84 schema:affiliation https://www.grid.ac/institutes/grid.266190.a
    192 schema:familyName Keller
    193 schema:givenName Matthew C
    194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010260323777.84
    195 rdf:type schema:Person
    196 sg:person.01027627427.14 schema:affiliation https://www.grid.ac/institutes/grid.4494.d
    197 schema:familyName van Vliet-Ostaptchouk
    198 schema:givenName Jana V
    199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027627427.14
    200 rdf:type schema:Person
    201 sg:person.01030306151.83 schema:affiliation https://www.grid.ac/institutes/grid.1020.3
    202 schema:familyName Lee
    203 schema:givenName Sang Hong
    204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030306151.83
    205 rdf:type schema:Person
    206 sg:person.01033044533.08 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
    207 schema:familyName Visscher
    208 schema:givenName Peter M
    209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033044533.08
    210 rdf:type schema:Person
    211 sg:person.01034121076.87 schema:affiliation https://www.grid.ac/institutes/grid.4714.6
    212 schema:familyName Hamsten
    213 schema:givenName Anders
    214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034121076.87
    215 rdf:type schema:Person
    216 sg:person.01071450175.91 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
    217 schema:familyName Vinkhuyzen
    218 schema:givenName Anna A E
    219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01071450175.91
    220 rdf:type schema:Person
    221 sg:person.01120140410.39 schema:affiliation https://www.grid.ac/institutes/grid.10939.32
    222 schema:familyName Milani
    223 schema:givenName Lili
    224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120140410.39
    225 rdf:type schema:Person
    226 sg:person.011234570267.86 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
    227 schema:familyName Hemani
    228 schema:givenName Gibran
    229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011234570267.86
    230 rdf:type schema:Person
    231 sg:person.01145654113.82 schema:affiliation https://www.grid.ac/institutes/grid.168010.e
    232 schema:familyName Ingelsson
    233 schema:givenName Erik
    234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145654113.82
    235 rdf:type schema:Person
    236 sg:person.01153432015.08 schema:affiliation https://www.grid.ac/institutes/grid.4494.d
    237 schema:familyName Snieder
    238 schema:givenName Harold
    239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153432015.08
    240 rdf:type schema:Person
    241 sg:person.01212210305.98 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
    242 schema:familyName Zhu
    243 schema:givenName Zhihong
    244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212210305.98
    245 rdf:type schema:Person
    246 sg:person.01264737414.70 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
    247 schema:familyName Esko
    248 schema:givenName Tonu
    249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264737414.70
    250 rdf:type schema:Person
    251 sg:person.01313145634.66 schema:affiliation https://www.grid.ac/institutes/grid.10939.32
    252 schema:familyName Metspalu
    253 schema:givenName Andres
    254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313145634.66
    255 rdf:type schema:Person
    256 sg:person.01316742644.30 schema:affiliation https://www.grid.ac/institutes/grid.4494.d
    257 schema:familyName Nolte
    258 schema:givenName Ilja M
    259 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01316742644.30
    260 rdf:type schema:Person
    261 sg:person.01344044711.86 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
    262 schema:familyName Bakshi
    263 schema:givenName Andrew
    264 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344044711.86
    265 rdf:type schema:Person
    266 sg:person.014407564701.02 schema:familyName Study
    267 schema:givenName The LifeLines Cohort
    268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014407564701.02
    269 rdf:type schema:Person
    270 sg:person.015576406233.51 schema:affiliation https://www.grid.ac/institutes/grid.4714.6
    271 schema:familyName Magnusson
    272 schema:givenName Patrik K E
    273 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015576406233.51
    274 rdf:type schema:Person
    275 sg:person.015600745002.61 schema:affiliation https://www.grid.ac/institutes/grid.470900.a
    276 schema:familyName Perry
    277 schema:givenName John R B
    278 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015600745002.61
    279 rdf:type schema:Person
    280 sg:person.0623730357.31 schema:affiliation https://www.grid.ac/institutes/grid.452205.4
    281 schema:familyName Goddard
    282 schema:givenName Michael E
    283 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623730357.31
    284 rdf:type schema:Person
    285 sg:person.0720114066.32 schema:affiliation https://www.grid.ac/institutes/grid.10939.32
    286 schema:familyName Mägi
    287 schema:givenName Reedik
    288 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720114066.32
    289 rdf:type schema:Person
    290 sg:person.0726250204.50 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
    291 schema:familyName Robinson
    292 schema:givenName Matthew R
    293 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726250204.50
    294 rdf:type schema:Person
    295 sg:person.0730724336.65 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
    296 schema:familyName Yang
    297 schema:givenName Jian
    298 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0730724336.65
    299 rdf:type schema:Person
    300 sg:person.0743320722.44 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
    301 schema:familyName Soranzo
    302 schema:givenName Nicole
    303 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743320722.44
    304 rdf:type schema:Person
    305 sg:person.0750524661.10 schema:affiliation https://www.grid.ac/institutes/grid.4714.6
    306 schema:familyName Pedersen
    307 schema:givenName Nancy L
    308 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750524661.10
    309 rdf:type schema:Person
    310 sg:pub.10.1038/mp.2011.65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000632110
    311 https://doi.org/10.1038/mp.2011.65
    312 rdf:type schema:CreativeWork
    313 sg:pub.10.1038/nature08494 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005147626
    314 https://doi.org/10.1038/nature08494
    315 rdf:type schema:CreativeWork
    316 sg:pub.10.1038/nature09534 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010608717
    317 https://doi.org/10.1038/nature09534
    318 rdf:type schema:CreativeWork
    319 sg:pub.10.1038/nature11582 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046541188
    320 https://doi.org/10.1038/nature11582
    321 rdf:type schema:CreativeWork
    322 sg:pub.10.1038/nature13545 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007797493
    323 https://doi.org/10.1038/nature13545
    324 rdf:type schema:CreativeWork
    325 sg:pub.10.1038/nature13595 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021916306
    326 https://doi.org/10.1038/nature13595
    327 rdf:type schema:CreativeWork
    328 sg:pub.10.1038/nature14177 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053003561
    329 https://doi.org/10.1038/nature14177
    330 rdf:type schema:CreativeWork
    331 sg:pub.10.1038/nature14962 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049666571
    332 https://doi.org/10.1038/nature14962
    333 rdf:type schema:CreativeWork
    334 sg:pub.10.1038/ng.1108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049441089
    335 https://doi.org/10.1038/ng.1108
    336 rdf:type schema:CreativeWork
    337 sg:pub.10.1038/ng.2283 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020345108
    338 https://doi.org/10.1038/ng.2283
    339 rdf:type schema:CreativeWork
    340 sg:pub.10.1038/ng.2354 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029723318
    341 https://doi.org/10.1038/ng.2354
    342 rdf:type schema:CreativeWork
    343 sg:pub.10.1038/ng.2671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036646012
    344 https://doi.org/10.1038/ng.2671
    345 rdf:type schema:CreativeWork
    346 sg:pub.10.1038/ng.2896 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033426202
    347 https://doi.org/10.1038/ng.2896
    348 rdf:type schema:CreativeWork
    349 sg:pub.10.1038/ng.3097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006357119
    350 https://doi.org/10.1038/ng.3097
    351 rdf:type schema:CreativeWork
    352 sg:pub.10.1038/ng.3139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033662959
    353 https://doi.org/10.1038/ng.3139
    354 rdf:type schema:CreativeWork
    355 sg:pub.10.1038/ng.608 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015057090
    356 https://doi.org/10.1038/ng.608
    357 rdf:type schema:CreativeWork
    358 sg:pub.10.1038/ng.686 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013643799
    359 https://doi.org/10.1038/ng.686
    360 rdf:type schema:CreativeWork
    361 sg:pub.10.1038/ng1847 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031429813
    362 https://doi.org/10.1038/ng1847
    363 rdf:type schema:CreativeWork
    364 sg:pub.10.1038/nrg3117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044335233
    365 https://doi.org/10.1038/nrg3117
    366 rdf:type schema:CreativeWork
    367 sg:pub.10.1038/nrg3642 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010746394
    368 https://doi.org/10.1038/nrg3642
    369 rdf:type schema:CreativeWork
    370 https://doi.org/10.1016/j.ajhg.2009.01.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005049647
    371 rdf:type schema:CreativeWork
    372 https://doi.org/10.1016/j.ajhg.2010.11.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009497006
    373 rdf:type schema:CreativeWork
    374 https://doi.org/10.1016/j.ajhg.2011.02.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009526716
    375 rdf:type schema:CreativeWork
    376 https://doi.org/10.1016/j.ajhg.2012.10.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051947179
    377 rdf:type schema:CreativeWork
    378 https://doi.org/10.1016/j.ajhg.2013.10.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000749622
    379 rdf:type schema:CreativeWork
    380 https://doi.org/10.1016/j.ajhg.2013.10.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021022413
    381 rdf:type schema:CreativeWork
    382 https://doi.org/10.1016/j.ajhg.2014.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053287809
    383 rdf:type schema:CreativeWork
    384 https://doi.org/10.1017/s0016672310000571 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053938772
    385 rdf:type schema:CreativeWork
    386 https://doi.org/10.1073/pnas.0906182107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022731697
    387 rdf:type schema:CreativeWork
    388 https://doi.org/10.1086/519795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019061180
    389 rdf:type schema:CreativeWork
    390 https://doi.org/10.1093/bioinformatics/bts474 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051113467
    391 rdf:type schema:CreativeWork
    392 https://doi.org/10.1093/biomet/58.3.545 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059418034
    393 rdf:type schema:CreativeWork
    394 https://doi.org/10.1093/nar/gkt1229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047459836
    395 rdf:type schema:CreativeWork
    396 https://doi.org/10.1101/015917 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085110450
    397 rdf:type schema:CreativeWork
    398 https://doi.org/10.1371/journal.pgen.1000529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043446290
    399 rdf:type schema:CreativeWork
    400 https://doi.org/10.1371/journal.pgen.1003355 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019838558
    401 rdf:type schema:CreativeWork
    402 https://doi.org/10.1371/journal.pgen.1003520 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037195628
    403 rdf:type schema:CreativeWork
    404 https://doi.org/10.1371/journal.pgen.1003993 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017608392
    405 rdf:type schema:CreativeWork
    406 https://www.grid.ac/institutes/grid.1003.2 schema:alternateName University of Queensland
    407 schema:name Medical Research Council (MRC) Integrative Epidemiology Unit (IEU) at the University of Bristol, School of Social and Community Medicine, Bristol, UK.
    408 Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia.
    409 University of Queensland Diamantina Institute, Translation Research Institute, Brisbane, Queensland, Australia.
    410 rdf:type schema:Organization
    411 https://www.grid.ac/institutes/grid.1020.3 schema:alternateName University of New England
    412 schema:name Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia.
    413 School of Environmental and Rural Science, University of New England, Armidale, New South Wales, Australia.
    414 rdf:type schema:Organization
    415 https://www.grid.ac/institutes/grid.10939.32 schema:alternateName University of Tartu
    416 schema:name Estonian Genome Center, University of Tartu, Tartu, Estonia.
    417 Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.
    418 rdf:type schema:Organization
    419 https://www.grid.ac/institutes/grid.168010.e schema:alternateName Stanford University
    420 schema:name Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
    421 Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.
    422 rdf:type schema:Organization
    423 https://www.grid.ac/institutes/grid.266190.a schema:alternateName University of Colorado Boulder
    424 schema:name Department of Psychology and Neuroscience, University of Colorado, Boulder, Colorado, USA.
    425 Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA.
    426 rdf:type schema:Organization
    427 https://www.grid.ac/institutes/grid.38142.3c schema:alternateName Harvard University
    428 schema:name Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA.
    429 Division of Endocrinology, Boston Children's Hospital, Cambridge, Massachusetts, USA.
    430 Estonian Genome Center, University of Tartu, Tartu, Estonia.
    431 Program in Medical and Populational Genetics, Broad Institute, Cambridge, Massachusetts, USA.
    432 rdf:type schema:Organization
    433 https://www.grid.ac/institutes/grid.4494.d schema:alternateName University Medical Center Groningen
    434 schema:name Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
    435 Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
    436 rdf:type schema:Organization
    437 https://www.grid.ac/institutes/grid.452205.4 schema:alternateName Department of Environment, Land, Water and Planning
    438 schema:name Biosciences Research Division, Department of Economic Development, Jobs, Transport and Resources, Bundoora, Victoria, Australia.
    439 Faculty of Veterinary and Agricultural Science, University of Melbourne, Parkville, Victoria, Australia.
    440 rdf:type schema:Organization
    441 https://www.grid.ac/institutes/grid.470900.a schema:alternateName Institute of Metabolic Science
    442 schema:name MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK.
    443 rdf:type schema:Organization
    444 https://www.grid.ac/institutes/grid.4714.6 schema:alternateName Karolinska Institute
    445 schema:name Cardiovascular Genetics and Genomics Group, Atherosclerosis Research Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
    446 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
    447 rdf:type schema:Organization
    448 https://www.grid.ac/institutes/grid.5335.0 schema:alternateName University of Cambridge
    449 schema:name Department of Haematology, University of Cambridge, Cambridge, UK.
    450 Department of Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, UK.
    451 rdf:type schema:Organization
     




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


    ...