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 N0b53b581027740adb125a4ee2cfe781b
    2 N32e2e337f6024d8ca095a71f4ad4bde6
    3 N60c487d7129b4dd4aaf79d53ca9df324
    4 Nd71a0b3641e34b4ab7ddeb8bec020537
    5 Ne19a29e4da6045bf8b4894b377e2665a
    6 anzsrc-for:06
    7 anzsrc-for:0604
    8 schema:author N68e294c413f6498d8c3d5ae0789a6a5b
    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 N263a07b8da194a769835338ff8a89583
    54 N30fc20d2e5e74a30b4684030e43c3a33
    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 N6b0e6aa91aa24f03b3ea3eb541e96107
    59 N76088edfd77c41fb82b50769d386370f
    60 Nb8ac4c43e9c74a2dbd0b70a24a9bdfec
    61 Nd35a033e84bb42acb4f9527ac1cdc00a
    62 Nd57e81189a9241d39e423624dac88cd0
    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 N19fbef9957c6458c8588bf02dfad4a28
    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 N0b53b581027740adb125a4ee2cfe781b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    73 schema:name Body Mass Index
    74 rdf:type schema:DefinedTerm
    75 N13fe9256cf3d412cb1494bec41ad109e rdf:first sg:person.01145654113.82
    76 rdf:rest N33ba60e56df1458ab472e8611950f785
    77 N19fbef9957c6458c8588bf02dfad4a28 schema:name Springer Nature - SN SciGraph project
    78 rdf:type schema:Organization
    79 N1a6bae6ed28c475fae5c3b222a893331 rdf:first sg:person.010260323777.84
    80 rdf:rest Nd5c3a4dcca804ce592d52cc88971197f
    81 N232ab294838d4bb8bfd1f7c360944451 rdf:first sg:person.014407564701.02
    82 rdf:rest N8391a7cf8472435b906cbbf67928a91e
    83 N263a07b8da194a769835338ff8a89583 schema:issueNumber 10
    84 rdf:type schema:PublicationIssue
    85 N28d287cf292f4ba68e74d9d4f7d363bf rdf:first sg:person.01034121076.87
    86 rdf:rest N589e03322f1d45f994c3bb034619c067
    87 N2a54c0c6008947eda53154ffb78968b1 rdf:first sg:person.0623730357.31
    88 rdf:rest Nf72d2111aac8487893124827adf6dcca
    89 N2a9d7353eff348b38c5772a64633bec6 rdf:first sg:person.0750524661.10
    90 rdf:rest N13fe9256cf3d412cb1494bec41ad109e
    91 N30fc20d2e5e74a30b4684030e43c3a33 schema:volumeNumber 47
    92 rdf:type schema:PublicationVolume
    93 N32e2e337f6024d8ca095a71f4ad4bde6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    94 schema:name Genetic Variation
    95 rdf:type schema:DefinedTerm
    96 N33ba60e56df1458ab472e8611950f785 rdf:first sg:person.0743320722.44
    97 rdf:rest N1a6bae6ed28c475fae5c3b222a893331
    98 N40e9e6d0cec4481a8bf7cbba94e29d2f rdf:first sg:person.011234570267.86
    99 rdf:rest Nb89b845e25d44ab6ba99d0924b878809
    100 N589e03322f1d45f994c3bb034619c067 rdf:first sg:person.015576406233.51
    101 rdf:rest N2a9d7353eff348b38c5772a64633bec6
    102 N59a5544cf0ca498cbb37aa837d044cba rdf:first sg:person.01313145634.66
    103 rdf:rest N28d287cf292f4ba68e74d9d4f7d363bf
    104 N5fb0392ded0c4fb884237e739e0d35a5 rdf:first sg:person.01212210305.98
    105 rdf:rest N40e9e6d0cec4481a8bf7cbba94e29d2f
    106 N60c487d7129b4dd4aaf79d53ca9df324 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    107 schema:name Humans
    108 rdf:type schema:DefinedTerm
    109 N622b6e5919a94d20a351016dae195c97 rdf:first sg:person.015600745002.61
    110 rdf:rest Nd92b92bab73e4909b2371bc104c8a113
    111 N68e294c413f6498d8c3d5ae0789a6a5b rdf:first sg:person.0730724336.65
    112 rdf:rest N70ec896548344affa8d1e22895db0761
    113 N6b0e6aa91aa24f03b3ea3eb541e96107 schema:name dimensions_id
    114 schema:value pub.1001620489
    115 rdf:type schema:PropertyValue
    116 N70ec896548344affa8d1e22895db0761 rdf:first sg:person.01344044711.86
    117 rdf:rest N5fb0392ded0c4fb884237e739e0d35a5
    118 N76088edfd77c41fb82b50769d386370f schema:name nlm_unique_id
    119 schema:value 9216904
    120 rdf:type schema:PropertyValue
    121 N8391a7cf8472435b906cbbf67928a91e rdf:first sg:person.01264737414.70
    122 rdf:rest N960a9e7fecb245e7a18e1f9704807d01
    123 N869d74d75b4d40779457fcb1474e9992 rdf:first sg:person.01027627427.14
    124 rdf:rest Na3bc4538d205454d8d768f202d7dc6f0
    125 N960a9e7fecb245e7a18e1f9704807d01 rdf:first sg:person.01120140410.39
    126 rdf:rest Nd634c7a280154eb8a8e9e218d1f7b19b
    127 Na3bc4538d205454d8d768f202d7dc6f0 rdf:first sg:person.01153432015.08
    128 rdf:rest N232ab294838d4bb8bfd1f7c360944451
    129 Naae086d05e0940ba9124bcf7b8848a4f rdf:first sg:person.0726250204.50
    130 rdf:rest N622b6e5919a94d20a351016dae195c97
    131 Nb89b845e25d44ab6ba99d0924b878809 rdf:first sg:person.01071450175.91
    132 rdf:rest Nf64a027bcf86404494f028c51dcdef00
    133 Nb8ac4c43e9c74a2dbd0b70a24a9bdfec schema:name doi
    134 schema:value 10.1038/ng.3390
    135 rdf:type schema:PropertyValue
    136 Nd35a033e84bb42acb4f9527ac1cdc00a schema:name pubmed_id
    137 schema:value 26323059
    138 rdf:type schema:PropertyValue
    139 Nd57e81189a9241d39e423624dac88cd0 schema:name readcube_id
    140 schema:value 07b8083a4370176c1053126a905d05efa84a8e47583f1595d798c3c68ae2fecb
    141 rdf:type schema:PropertyValue
    142 Nd5c3a4dcca804ce592d52cc88971197f rdf:first sg:person.01024027537.42
    143 rdf:rest N2a54c0c6008947eda53154ffb78968b1
    144 Nd634c7a280154eb8a8e9e218d1f7b19b rdf:first sg:person.0720114066.32
    145 rdf:rest N59a5544cf0ca498cbb37aa837d044cba
    146 Nd71a0b3641e34b4ab7ddeb8bec020537 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    147 schema:name Body Height
    148 rdf:type schema:DefinedTerm
    149 Nd92b92bab73e4909b2371bc104c8a113 rdf:first sg:person.01316742644.30
    150 rdf:rest N869d74d75b4d40779457fcb1474e9992
    151 Ne19a29e4da6045bf8b4894b377e2665a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    152 schema:name Genome, Human
    153 rdf:type schema:DefinedTerm
    154 Nf64a027bcf86404494f028c51dcdef00 rdf:first sg:person.01030306151.83
    155 rdf:rest Naae086d05e0940ba9124bcf7b8848a4f
    156 Nf72d2111aac8487893124827adf6dcca rdf:first sg:person.01033044533.08
    157 rdf:rest rdf:nil
    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)


    ...