A genome-wide association study for extremely high intelligence View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-05

AUTHORS

D Zabaneh, E Krapohl, H A Gaspar, C Curtis, S H Lee, H Patel, S Newhouse, H M Wu, M A Simpson, M Putallaz, D Lubinski, R Plomin, G Breen

ABSTRACT

We used a case-control genome-wide association (GWA) design with cases consisting of 1238 individuals from the top 0.0003 (~170 mean IQ) of the population distribution of intelligence and 8172 unselected population-based controls. The single-nucleotide polymorphism heritability for the extreme IQ trait was 0.33 (0.02), which is the highest so far for a cognitive phenotype, and significant genome-wide genetic correlations of 0.78 were observed with educational attainment and 0.86 with population IQ. Three variants in locus ADAM12 achieved genome-wide significance, although they did not replicate with published GWA analyses of normal-range IQ or educational attainment. A genome-wide polygenic score constructed from the GWA results accounted for 1.6% of the variance of intelligence in the normal range in an unselected sample of 3414 individuals, which is comparable to the variance explained by GWA studies of intelligence with substantially larger sample sizes. The gene family plexins, members of which are mutated in several monogenic neurodevelopmental disorders, was significantly enriched for associations with high IQ. This study shows the utility of extreme trait selection for genetic study of intelligence and suggests that extremely high intelligence is continuous genetically with normal-range intelligence in the population. More... »

PAGES

1226

References to SciGraph publications

  • 2014-02. Childhood intelligence is heritable, highly polygenic and associated with FNBP1L in MOLECULAR PSYCHIATRY
  • 2016-08. A genome-wide analysis of putative functional and exonic variation associated with extremely high intelligence in MOLECULAR PSYCHIATRY
  • 2014-11. Defining the role of common variation in the genomic and biological architecture of adult human height in NATURE GENETICS
  • 2015-02. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways in NATURE NEUROSCIENCE
  • 2014-12. The correlation between reading and mathematics ability at age twelve has a substantial genetic component in NATURE COMMUNICATIONS
  • 2016-06. Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151) in MOLECULAR PSYCHIATRY
  • 2016-05. Genome-wide association study identifies 74 loci associated with educational attainment in NATURE
  • 2015-03. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies in NATURE GENETICS
  • 2016-09-07. How to raise a genius: lessons from a 45-year study of super-smart children in NATURE
  • 2009-12. Common disorders are quantitative traits in NATURE REVIEWS GENETICS
  • 2016-10. A reference panel of 64,976 haplotypes for genotype imputation in NATURE GENETICS
  • 2014-08. Semaphorins and plexins as therapeutic targets in NATURE REVIEWS DRUG DISCOVERY
  • 2006-08. Principal components analysis corrects for stratification in genome-wide association studies in NATURE GENETICS
  • 2010-11. A Three-Stage Genome-Wide Association Study of General Cognitive Ability: Hunting the Small Effects in BEHAVIOR GENETICS
  • 2015-11. An atlas of genetic correlations across human diseases and traits in NATURE GENETICS
  • 2016-09. Phenome-wide analysis of genome-wide polygenic scores in MOLECULAR PSYCHIATRY
  • 2010-07. Genotype imputation for genome-wide association studies in NATURE REVIEWS GENETICS
  • 2015-02. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949) in MOLECULAR PSYCHIATRY
  • 2016-06. The statistical properties of gene-set analysis in NATURE REVIEWS GENETICS
  • 2017-02. Predicting educational achievement from DNA in MOLECULAR PSYCHIATRY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/mp.2017.121

    DOI

    http://dx.doi.org/10.1038/mp.2017.121

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1090336152

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29731509


    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": "ADAM12 Protein", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adolescent", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adult", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Case-Control Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome-Wide Association Study", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Intelligence", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Longitudinal Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Multifactorial Inheritance", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phenotype", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Polymorphism, Single Nucleotide", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Quantitative Trait, Heritable", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "King\u2019s College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zabaneh", 
            "givenName": "D", 
            "id": "sg:person.01310017710.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310017710.74"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "King\u2019s College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Krapohl", 
            "givenName": "E", 
            "id": "sg:person.0753775450.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753775450.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "NIHR Maudsley Dementia Biomedical Research Unit", 
              "id": "https://www.grid.ac/institutes/grid.454378.9", 
              "name": [
                "King\u2019s College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK", 
                "NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gaspar", 
            "givenName": "H A", 
            "id": "sg:person.0621657444.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621657444.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "NIHR Maudsley Dementia Biomedical Research Unit", 
              "id": "https://www.grid.ac/institutes/grid.454378.9", 
              "name": [
                "King\u2019s College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK", 
                "NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Curtis", 
            "givenName": "C", 
            "id": "sg:person.01357035211.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357035211.04"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "NIHR Maudsley Dementia Biomedical Research Unit", 
              "id": "https://www.grid.ac/institutes/grid.454378.9", 
              "name": [
                "King\u2019s College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK", 
                "NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lee", 
            "givenName": "S H", 
            "id": "sg:person.010065455351.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010065455351.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "NIHR Maudsley Dementia Biomedical Research Unit", 
              "id": "https://www.grid.ac/institutes/grid.454378.9", 
              "name": [
                "King\u2019s College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK", 
                "NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Patel", 
            "givenName": "H", 
            "id": "sg:person.014617235651.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014617235651.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "NIHR Maudsley Dementia Biomedical Research Unit", 
              "id": "https://www.grid.ac/institutes/grid.454378.9", 
              "name": [
                "King\u2019s College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK", 
                "NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Newhouse", 
            "givenName": "S", 
            "id": "sg:person.01160770131.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160770131.05"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "King\u2019s College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wu", 
            "givenName": "H M", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Guy's Hospital", 
              "id": "https://www.grid.ac/institutes/grid.239826.4", 
              "name": [
                "Department of Medical and Molecular Genetics, Division of Genetics and Molecular Medicine, Guy\u2019s Hospital, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Simpson", 
            "givenName": "M A", 
            "id": "sg:person.013621652332.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013621652332.14"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Duke University", 
              "id": "https://www.grid.ac/institutes/grid.26009.3d", 
              "name": [
                "Duke University Talent Identification Program, Duke University, Durham, NC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Putallaz", 
            "givenName": "M", 
            "id": "sg:person.01271304543.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271304543.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Vanderbilt University", 
              "id": "https://www.grid.ac/institutes/grid.152326.1", 
              "name": [
                "Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lubinski", 
            "givenName": "D", 
            "id": "sg:person.01031217617.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031217617.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "King's College London", 
              "id": "https://www.grid.ac/institutes/grid.13097.3c", 
              "name": [
                "King\u2019s College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Plomin", 
            "givenName": "R", 
            "id": "sg:person.064477252.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.064477252.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "NIHR Maudsley Dementia Biomedical Research Unit", 
              "id": "https://www.grid.ac/institutes/grid.454378.9", 
              "name": [
                "King\u2019s College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK", 
                "NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Breen", 
            "givenName": "G", 
            "id": "sg:person.0654201533.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654201533.32"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1017/s0954579413000606", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000977137"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0956797616644735", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002815300"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0956797616644735", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002815300"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/mp.2012.184", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002823074", 
              "https://doi.org/10.1038/mp.2012.184"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/mp.2012.184", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002823074", 
              "https://doi.org/10.1038/mp.2012.184"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.intell.2010.04.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005925114"
            ], 
            "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": "https://doi.org/10.1073/pnas.1508093112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006451096"
            ], 
            "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": "sg:pub.10.1038/nrg2796", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009739594", 
              "https://doi.org/10.1038/nrg2796"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2796", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009739594", 
              "https://doi.org/10.1038/nrg2796"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature17671", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010852527", 
              "https://doi.org/10.1038/nature17671"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/mp.2015.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011233645", 
              "https://doi.org/10.1038/mp.2015.108"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/thg.2012.91", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013349499"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3406", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016405801", 
              "https://doi.org/10.1038/ng.3406"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg.2016.29", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016865256", 
              "https://doi.org/10.1038/nrg.2016.29"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/hmg/ddi142", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017502342"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0092-8674(00)81715-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017876276"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/jcpp.12295", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018391041"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1037/0021-9010.86.4.718", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018818434"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nn.3922", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023495141", 
              "https://doi.org/10.1038/nn.3922"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/thg.2013.54", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023955216"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1003348", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023968606"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pcbi.1004219", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026087862"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1404623111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027949409"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1159/000332824", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028330528"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10519-010-9350-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029477390", 
              "https://doi.org/10.1007/s10519-010-9350-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10519-010-9350-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029477390", 
              "https://doi.org/10.1007/s10519-010-9350-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10519-010-9350-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029477390", 
              "https://doi.org/10.1007/s10519-010-9350-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/mp.2014.188", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029553820", 
              "https://doi.org/10.1038/mp.2014.188"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btu014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029617507"
            ], 
            "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.10.1038/537152a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031547548", 
              "https://doi.org/10.1038/537152a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/mp.2016.107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032215243", 
              "https://doi.org/10.1038/mp.2016.107"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0956797612457784", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035335795"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1177/0956797612457784", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035335795"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2011.11.029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036374470"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/mp.2015.126", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037399468", 
              "https://doi.org/10.1038/mp.2015.126"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/mp.2016.45", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037967699", 
              "https://doi.org/10.1038/mp.2016.45"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev-psych-120710-100353", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043783220"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3211", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044444076", 
              "https://doi.org/10.1038/ng.3211"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrd4337", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045811454", 
              "https://doi.org/10.1038/nrd4337"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2015.09.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046213550"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1006495", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046614479"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1037/1089-2680.7.4.331", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048448006"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ajmg.a.36274", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048502101"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2670", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050548705", 
              "https://doi.org/10.1038/nrg2670"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2670", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050548705", 
              "https://doi.org/10.1038/nrg2670"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2670", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050548705", 
              "https://doi.org/10.1038/nrg2670"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3643", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050700099", 
              "https://doi.org/10.1038/ng.3643"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3643", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050700099", 
              "https://doi.org/10.1038/ng.3643"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.intell.2014.11.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051791564"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.intell.2014.11.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051791564"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.intell.2014.11.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051791564"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms5204", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053083925", 
              "https://doi.org/10.1038/ncomms5204"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/cbo9780511571312", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1098682725"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-05", 
        "datePublishedReg": "2018-05-01", 
        "description": "We used a case-control genome-wide association (GWA) design with cases consisting of 1238 individuals from the top 0.0003 (~170 mean IQ) of the population distribution of intelligence and 8172 unselected population-based controls. The single-nucleotide polymorphism heritability for the extreme IQ trait was 0.33 (0.02), which is the highest so far for a cognitive phenotype, and significant genome-wide genetic correlations of 0.78 were observed with educational attainment and 0.86 with population IQ. Three variants in locus ADAM12 achieved genome-wide significance, although they did not replicate with published GWA analyses of normal-range IQ or educational attainment. A genome-wide polygenic score constructed from the GWA results accounted for 1.6% of the variance of intelligence in the normal range in an unselected sample of 3414 individuals, which is comparable to the variance explained by GWA studies of intelligence with substantially larger sample sizes. The gene family plexins, members of which are mutated in several monogenic neurodevelopmental disorders, was significantly enriched for associations with high IQ. This study shows the utility of extreme trait selection for genetic study of intelligence and suggests that extremely high intelligence is continuous genetically with normal-range intelligence in the population.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/mp.2017.121", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.4103346", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2781676", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2526885", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3800059", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3761462", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.2775389", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4849915", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3789522", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.3865955", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1115540", 
            "issn": [
              "1359-4184", 
              "1476-5578"
            ], 
            "name": "Molecular Psychiatry", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "5", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "23"
          }
        ], 
        "name": "A genome-wide association study for extremely high intelligence", 
        "pagination": "1226", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "1802046c2db30c9b082075bb2fdf3e6c8e86bf1c8cfa0737000a28271df9e4b3"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "29731509"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9607835"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/mp.2017.121"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1090336152"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/mp.2017.121", 
          "https://app.dimensions.ai/details/publication/pub.1090336152"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:20", 
        "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/v90/0000000368_0000000368/records_78968_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/mp2017121"
      }
    ]
     

    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/mp.2017.121'

    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/mp.2017.121'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/mp.2017.121'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/mp.2017.121'


     

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

    394 TRIPLES      21 PREDICATES      88 URIs      35 LITERALS      23 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/mp.2017.121 schema:about N0f74fa776a0f4e90b3b9ba17699a3a26
    2 N1b6a2c741e0340d9a956cd503cb8fac0
    3 N306956f0de8a4624a6f408b73d60b96a
    4 N38a370a0071249938502c6c5a7471ecb
    5 N4124cbe770d745e69bff9958a02c496b
    6 N4d74989055f04f5484cafe685d59c8bb
    7 N54f59febf5eb4a6385c73fdfb4645824
    8 N6833ef258eba4aad873066c38fcc892a
    9 N6a4db90160cb47d1b1d5a575e2c632fe
    10 N74ac0cae7d184656bbd176fb90a984ff
    11 Nb12f50da1a484e8ebe8d241beb1fadb5
    12 Nb9e3ea955ccc4ad28f515c85e938a19d
    13 Nd7f5daeba9774f18aa03c2b9f7d39b6e
    14 Ne7ba4be215994ab2b087f1df78cda730
    15 anzsrc-for:06
    16 anzsrc-for:0604
    17 schema:author N4d1a5e4aa51c47479b1300304dbd03bb
    18 schema:citation sg:pub.10.1007/s10519-010-9350-4
    19 sg:pub.10.1038/537152a
    20 sg:pub.10.1038/mp.2012.184
    21 sg:pub.10.1038/mp.2014.188
    22 sg:pub.10.1038/mp.2015.108
    23 sg:pub.10.1038/mp.2015.126
    24 sg:pub.10.1038/mp.2016.107
    25 sg:pub.10.1038/mp.2016.45
    26 sg:pub.10.1038/nature17671
    27 sg:pub.10.1038/ncomms5204
    28 sg:pub.10.1038/ng.3097
    29 sg:pub.10.1038/ng.3211
    30 sg:pub.10.1038/ng.3406
    31 sg:pub.10.1038/ng.3643
    32 sg:pub.10.1038/ng1847
    33 sg:pub.10.1038/nn.3922
    34 sg:pub.10.1038/nrd4337
    35 sg:pub.10.1038/nrg.2016.29
    36 sg:pub.10.1038/nrg2670
    37 sg:pub.10.1038/nrg2796
    38 https://doi.org/10.1002/ajmg.a.36274
    39 https://doi.org/10.1016/j.ajhg.2010.11.011
    40 https://doi.org/10.1016/j.ajhg.2011.11.029
    41 https://doi.org/10.1016/j.ajhg.2015.09.001
    42 https://doi.org/10.1016/j.intell.2010.04.006
    43 https://doi.org/10.1016/j.intell.2014.11.005
    44 https://doi.org/10.1016/s0092-8674(00)81715-8
    45 https://doi.org/10.1017/cbo9780511571312
    46 https://doi.org/10.1017/s0954579413000606
    47 https://doi.org/10.1017/thg.2012.91
    48 https://doi.org/10.1017/thg.2013.54
    49 https://doi.org/10.1037/0021-9010.86.4.718
    50 https://doi.org/10.1037/1089-2680.7.4.331
    51 https://doi.org/10.1073/pnas.1404623111
    52 https://doi.org/10.1073/pnas.1508093112
    53 https://doi.org/10.1093/bioinformatics/btu014
    54 https://doi.org/10.1093/hmg/ddi142
    55 https://doi.org/10.1111/jcpp.12295
    56 https://doi.org/10.1146/annurev-psych-120710-100353
    57 https://doi.org/10.1159/000332824
    58 https://doi.org/10.1177/0956797612457784
    59 https://doi.org/10.1177/0956797616644735
    60 https://doi.org/10.1371/journal.pcbi.1004219
    61 https://doi.org/10.1371/journal.pgen.1003348
    62 https://doi.org/10.1371/journal.pgen.1006495
    63 schema:datePublished 2018-05
    64 schema:datePublishedReg 2018-05-01
    65 schema:description We used a case-control genome-wide association (GWA) design with cases consisting of 1238 individuals from the top 0.0003 (~170 mean IQ) of the population distribution of intelligence and 8172 unselected population-based controls. The single-nucleotide polymorphism heritability for the extreme IQ trait was 0.33 (0.02), which is the highest so far for a cognitive phenotype, and significant genome-wide genetic correlations of 0.78 were observed with educational attainment and 0.86 with population IQ. Three variants in locus ADAM12 achieved genome-wide significance, although they did not replicate with published GWA analyses of normal-range IQ or educational attainment. A genome-wide polygenic score constructed from the GWA results accounted for 1.6% of the variance of intelligence in the normal range in an unselected sample of 3414 individuals, which is comparable to the variance explained by GWA studies of intelligence with substantially larger sample sizes. The gene family plexins, members of which are mutated in several monogenic neurodevelopmental disorders, was significantly enriched for associations with high IQ. This study shows the utility of extreme trait selection for genetic study of intelligence and suggests that extremely high intelligence is continuous genetically with normal-range intelligence in the population.
    66 schema:genre research_article
    67 schema:inLanguage en
    68 schema:isAccessibleForFree true
    69 schema:isPartOf N9ff19c29c61f4abfb111cddc9ec7de41
    70 Naf8b4304ea4f402fb77558b71d71a93d
    71 sg:journal.1115540
    72 schema:name A genome-wide association study for extremely high intelligence
    73 schema:pagination 1226
    74 schema:productId N1769c219268c4f0582c08f04a53d5b24
    75 N43e356adf90e408aaf3310abf6d43e03
    76 N5fe5d10ec4624a0c876959977dc5b498
    77 N66da8ead9eab4d669423b8684b492e2f
    78 Nac38f1527f0f4ccb918323879150c00a
    79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090336152
    80 https://doi.org/10.1038/mp.2017.121
    81 schema:sdDatePublished 2019-04-11T13:20
    82 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    83 schema:sdPublisher N12fbf8209afc449eb95293e1ba9a760e
    84 schema:url https://www.nature.com/articles/mp2017121
    85 sgo:license sg:explorer/license/
    86 sgo:sdDataset articles
    87 rdf:type schema:ScholarlyArticle
    88 N085ebf2703ea4fda8244e46cea5f31dc rdf:first sg:person.010065455351.20
    89 rdf:rest Na134e5d1f2cb40a7b9bc4d523df5b320
    90 N0f74fa776a0f4e90b3b9ba17699a3a26 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    91 schema:name Case-Control Studies
    92 rdf:type schema:DefinedTerm
    93 N12fbf8209afc449eb95293e1ba9a760e schema:name Springer Nature - SN SciGraph project
    94 rdf:type schema:Organization
    95 N1769c219268c4f0582c08f04a53d5b24 schema:name pubmed_id
    96 schema:value 29731509
    97 rdf:type schema:PropertyValue
    98 N17fb004e34614325866684e85b50a6ad rdf:first sg:person.013621652332.14
    99 rdf:rest Nd252fbd7492d4c2a811d144a7b106ba2
    100 N1b61d0741b774028abfc337bb8323cf9 rdf:first Nd9dd1c0095d64df2be8b7e3470264822
    101 rdf:rest N17fb004e34614325866684e85b50a6ad
    102 N1b6a2c741e0340d9a956cd503cb8fac0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    103 schema:name Female
    104 rdf:type schema:DefinedTerm
    105 N306956f0de8a4624a6f408b73d60b96a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    106 schema:name Phenotype
    107 rdf:type schema:DefinedTerm
    108 N35400031f4e1432e9183541e39af5f69 rdf:first sg:person.01160770131.05
    109 rdf:rest N1b61d0741b774028abfc337bb8323cf9
    110 N38a370a0071249938502c6c5a7471ecb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    111 schema:name Intelligence
    112 rdf:type schema:DefinedTerm
    113 N4124cbe770d745e69bff9958a02c496b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    114 schema:name Quantitative Trait, Heritable
    115 rdf:type schema:DefinedTerm
    116 N43e356adf90e408aaf3310abf6d43e03 schema:name doi
    117 schema:value 10.1038/mp.2017.121
    118 rdf:type schema:PropertyValue
    119 N4d1a5e4aa51c47479b1300304dbd03bb rdf:first sg:person.01310017710.74
    120 rdf:rest Nc530f15f38a942b0b3f68860aa4a2c3a
    121 N4d74989055f04f5484cafe685d59c8bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    122 schema:name Multifactorial Inheritance
    123 rdf:type schema:DefinedTerm
    124 N54f59febf5eb4a6385c73fdfb4645824 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    125 schema:name ADAM12 Protein
    126 rdf:type schema:DefinedTerm
    127 N5ead77f1774d43a289d1aa6cee475fd4 rdf:first sg:person.0621657444.05
    128 rdf:rest Nf7125edc7e614c5990169dd58efe06f5
    129 N5fe5d10ec4624a0c876959977dc5b498 schema:name dimensions_id
    130 schema:value pub.1090336152
    131 rdf:type schema:PropertyValue
    132 N66da8ead9eab4d669423b8684b492e2f schema:name readcube_id
    133 schema:value 1802046c2db30c9b082075bb2fdf3e6c8e86bf1c8cfa0737000a28271df9e4b3
    134 rdf:type schema:PropertyValue
    135 N6833ef258eba4aad873066c38fcc892a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    136 schema:name Male
    137 rdf:type schema:DefinedTerm
    138 N6a4db90160cb47d1b1d5a575e2c632fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    139 schema:name Genome-Wide Association Study
    140 rdf:type schema:DefinedTerm
    141 N74ac0cae7d184656bbd176fb90a984ff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Humans
    143 rdf:type schema:DefinedTerm
    144 N769455fb28094f4483e2cb328c9867cd rdf:first sg:person.0654201533.32
    145 rdf:rest rdf:nil
    146 N7f2d6dc148c5432ca70619a271d18d6f rdf:first sg:person.01031217617.17
    147 rdf:rest Nea33370f9b8a4dd08d89c3ce8f750e4a
    148 N9ff19c29c61f4abfb111cddc9ec7de41 schema:volumeNumber 23
    149 rdf:type schema:PublicationVolume
    150 Na134e5d1f2cb40a7b9bc4d523df5b320 rdf:first sg:person.014617235651.31
    151 rdf:rest N35400031f4e1432e9183541e39af5f69
    152 Nac38f1527f0f4ccb918323879150c00a schema:name nlm_unique_id
    153 schema:value 9607835
    154 rdf:type schema:PropertyValue
    155 Naf8b4304ea4f402fb77558b71d71a93d schema:issueNumber 5
    156 rdf:type schema:PublicationIssue
    157 Nb12f50da1a484e8ebe8d241beb1fadb5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    158 schema:name Polymorphism, Single Nucleotide
    159 rdf:type schema:DefinedTerm
    160 Nb9e3ea955ccc4ad28f515c85e938a19d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    161 schema:name Adult
    162 rdf:type schema:DefinedTerm
    163 Nc530f15f38a942b0b3f68860aa4a2c3a rdf:first sg:person.0753775450.30
    164 rdf:rest N5ead77f1774d43a289d1aa6cee475fd4
    165 Nd252fbd7492d4c2a811d144a7b106ba2 rdf:first sg:person.01271304543.16
    166 rdf:rest N7f2d6dc148c5432ca70619a271d18d6f
    167 Nd7f5daeba9774f18aa03c2b9f7d39b6e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    168 schema:name Longitudinal Studies
    169 rdf:type schema:DefinedTerm
    170 Nd9dd1c0095d64df2be8b7e3470264822 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    171 schema:familyName Wu
    172 schema:givenName H M
    173 rdf:type schema:Person
    174 Ne7ba4be215994ab2b087f1df78cda730 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    175 schema:name Adolescent
    176 rdf:type schema:DefinedTerm
    177 Nea33370f9b8a4dd08d89c3ce8f750e4a rdf:first sg:person.064477252.38
    178 rdf:rest N769455fb28094f4483e2cb328c9867cd
    179 Nf7125edc7e614c5990169dd58efe06f5 rdf:first sg:person.01357035211.04
    180 rdf:rest N085ebf2703ea4fda8244e46cea5f31dc
    181 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    182 schema:name Biological Sciences
    183 rdf:type schema:DefinedTerm
    184 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    185 schema:name Genetics
    186 rdf:type schema:DefinedTerm
    187 sg:grant.2526885 http://pending.schema.org/fundedItem sg:pub.10.1038/mp.2017.121
    188 rdf:type schema:MonetaryGrant
    189 sg:grant.2775389 http://pending.schema.org/fundedItem sg:pub.10.1038/mp.2017.121
    190 rdf:type schema:MonetaryGrant
    191 sg:grant.2781676 http://pending.schema.org/fundedItem sg:pub.10.1038/mp.2017.121
    192 rdf:type schema:MonetaryGrant
    193 sg:grant.3761462 http://pending.schema.org/fundedItem sg:pub.10.1038/mp.2017.121
    194 rdf:type schema:MonetaryGrant
    195 sg:grant.3789522 http://pending.schema.org/fundedItem sg:pub.10.1038/mp.2017.121
    196 rdf:type schema:MonetaryGrant
    197 sg:grant.3800059 http://pending.schema.org/fundedItem sg:pub.10.1038/mp.2017.121
    198 rdf:type schema:MonetaryGrant
    199 sg:grant.3865955 http://pending.schema.org/fundedItem sg:pub.10.1038/mp.2017.121
    200 rdf:type schema:MonetaryGrant
    201 sg:grant.4103346 http://pending.schema.org/fundedItem sg:pub.10.1038/mp.2017.121
    202 rdf:type schema:MonetaryGrant
    203 sg:grant.4849915 http://pending.schema.org/fundedItem sg:pub.10.1038/mp.2017.121
    204 rdf:type schema:MonetaryGrant
    205 sg:journal.1115540 schema:issn 1359-4184
    206 1476-5578
    207 schema:name Molecular Psychiatry
    208 rdf:type schema:Periodical
    209 sg:person.010065455351.20 schema:affiliation https://www.grid.ac/institutes/grid.454378.9
    210 schema:familyName Lee
    211 schema:givenName S H
    212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010065455351.20
    213 rdf:type schema:Person
    214 sg:person.01031217617.17 schema:affiliation https://www.grid.ac/institutes/grid.152326.1
    215 schema:familyName Lubinski
    216 schema:givenName D
    217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031217617.17
    218 rdf:type schema:Person
    219 sg:person.01160770131.05 schema:affiliation https://www.grid.ac/institutes/grid.454378.9
    220 schema:familyName Newhouse
    221 schema:givenName S
    222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160770131.05
    223 rdf:type schema:Person
    224 sg:person.01271304543.16 schema:affiliation https://www.grid.ac/institutes/grid.26009.3d
    225 schema:familyName Putallaz
    226 schema:givenName M
    227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271304543.16
    228 rdf:type schema:Person
    229 sg:person.01310017710.74 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    230 schema:familyName Zabaneh
    231 schema:givenName D
    232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310017710.74
    233 rdf:type schema:Person
    234 sg:person.01357035211.04 schema:affiliation https://www.grid.ac/institutes/grid.454378.9
    235 schema:familyName Curtis
    236 schema:givenName C
    237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357035211.04
    238 rdf:type schema:Person
    239 sg:person.013621652332.14 schema:affiliation https://www.grid.ac/institutes/grid.239826.4
    240 schema:familyName Simpson
    241 schema:givenName M A
    242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013621652332.14
    243 rdf:type schema:Person
    244 sg:person.014617235651.31 schema:affiliation https://www.grid.ac/institutes/grid.454378.9
    245 schema:familyName Patel
    246 schema:givenName H
    247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014617235651.31
    248 rdf:type schema:Person
    249 sg:person.0621657444.05 schema:affiliation https://www.grid.ac/institutes/grid.454378.9
    250 schema:familyName Gaspar
    251 schema:givenName H A
    252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621657444.05
    253 rdf:type schema:Person
    254 sg:person.064477252.38 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    255 schema:familyName Plomin
    256 schema:givenName R
    257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.064477252.38
    258 rdf:type schema:Person
    259 sg:person.0654201533.32 schema:affiliation https://www.grid.ac/institutes/grid.454378.9
    260 schema:familyName Breen
    261 schema:givenName G
    262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654201533.32
    263 rdf:type schema:Person
    264 sg:person.0753775450.30 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
    265 schema:familyName Krapohl
    266 schema:givenName E
    267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753775450.30
    268 rdf:type schema:Person
    269 sg:pub.10.1007/s10519-010-9350-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029477390
    270 https://doi.org/10.1007/s10519-010-9350-4
    271 rdf:type schema:CreativeWork
    272 sg:pub.10.1038/537152a schema:sameAs https://app.dimensions.ai/details/publication/pub.1031547548
    273 https://doi.org/10.1038/537152a
    274 rdf:type schema:CreativeWork
    275 sg:pub.10.1038/mp.2012.184 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002823074
    276 https://doi.org/10.1038/mp.2012.184
    277 rdf:type schema:CreativeWork
    278 sg:pub.10.1038/mp.2014.188 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029553820
    279 https://doi.org/10.1038/mp.2014.188
    280 rdf:type schema:CreativeWork
    281 sg:pub.10.1038/mp.2015.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011233645
    282 https://doi.org/10.1038/mp.2015.108
    283 rdf:type schema:CreativeWork
    284 sg:pub.10.1038/mp.2015.126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037399468
    285 https://doi.org/10.1038/mp.2015.126
    286 rdf:type schema:CreativeWork
    287 sg:pub.10.1038/mp.2016.107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032215243
    288 https://doi.org/10.1038/mp.2016.107
    289 rdf:type schema:CreativeWork
    290 sg:pub.10.1038/mp.2016.45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037967699
    291 https://doi.org/10.1038/mp.2016.45
    292 rdf:type schema:CreativeWork
    293 sg:pub.10.1038/nature17671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010852527
    294 https://doi.org/10.1038/nature17671
    295 rdf:type schema:CreativeWork
    296 sg:pub.10.1038/ncomms5204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053083925
    297 https://doi.org/10.1038/ncomms5204
    298 rdf:type schema:CreativeWork
    299 sg:pub.10.1038/ng.3097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006357119
    300 https://doi.org/10.1038/ng.3097
    301 rdf:type schema:CreativeWork
    302 sg:pub.10.1038/ng.3211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044444076
    303 https://doi.org/10.1038/ng.3211
    304 rdf:type schema:CreativeWork
    305 sg:pub.10.1038/ng.3406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016405801
    306 https://doi.org/10.1038/ng.3406
    307 rdf:type schema:CreativeWork
    308 sg:pub.10.1038/ng.3643 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050700099
    309 https://doi.org/10.1038/ng.3643
    310 rdf:type schema:CreativeWork
    311 sg:pub.10.1038/ng1847 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031429813
    312 https://doi.org/10.1038/ng1847
    313 rdf:type schema:CreativeWork
    314 sg:pub.10.1038/nn.3922 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023495141
    315 https://doi.org/10.1038/nn.3922
    316 rdf:type schema:CreativeWork
    317 sg:pub.10.1038/nrd4337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045811454
    318 https://doi.org/10.1038/nrd4337
    319 rdf:type schema:CreativeWork
    320 sg:pub.10.1038/nrg.2016.29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016865256
    321 https://doi.org/10.1038/nrg.2016.29
    322 rdf:type schema:CreativeWork
    323 sg:pub.10.1038/nrg2670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050548705
    324 https://doi.org/10.1038/nrg2670
    325 rdf:type schema:CreativeWork
    326 sg:pub.10.1038/nrg2796 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009739594
    327 https://doi.org/10.1038/nrg2796
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1002/ajmg.a.36274 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048502101
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1016/j.ajhg.2010.11.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009497006
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1016/j.ajhg.2011.11.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036374470
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1016/j.ajhg.2015.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046213550
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1016/j.intell.2010.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005925114
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1016/j.intell.2014.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051791564
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1016/s0092-8674(00)81715-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017876276
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1017/cbo9780511571312 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098682725
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1017/s0954579413000606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000977137
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1017/thg.2012.91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013349499
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1017/thg.2013.54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023955216
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1037/0021-9010.86.4.718 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018818434
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1037/1089-2680.7.4.331 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048448006
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1073/pnas.1404623111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027949409
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1073/pnas.1508093112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006451096
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.1093/bioinformatics/btu014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029617507
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.1093/hmg/ddi142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017502342
    362 rdf:type schema:CreativeWork
    363 https://doi.org/10.1111/jcpp.12295 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018391041
    364 rdf:type schema:CreativeWork
    365 https://doi.org/10.1146/annurev-psych-120710-100353 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043783220
    366 rdf:type schema:CreativeWork
    367 https://doi.org/10.1159/000332824 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028330528
    368 rdf:type schema:CreativeWork
    369 https://doi.org/10.1177/0956797612457784 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035335795
    370 rdf:type schema:CreativeWork
    371 https://doi.org/10.1177/0956797616644735 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002815300
    372 rdf:type schema:CreativeWork
    373 https://doi.org/10.1371/journal.pcbi.1004219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026087862
    374 rdf:type schema:CreativeWork
    375 https://doi.org/10.1371/journal.pgen.1003348 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023968606
    376 rdf:type schema:CreativeWork
    377 https://doi.org/10.1371/journal.pgen.1006495 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046614479
    378 rdf:type schema:CreativeWork
    379 https://www.grid.ac/institutes/grid.13097.3c schema:alternateName King's College London
    380 schema:name King’s College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
    381 rdf:type schema:Organization
    382 https://www.grid.ac/institutes/grid.152326.1 schema:alternateName Vanderbilt University
    383 schema:name Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, USA
    384 rdf:type schema:Organization
    385 https://www.grid.ac/institutes/grid.239826.4 schema:alternateName Guy's Hospital
    386 schema:name Department of Medical and Molecular Genetics, Division of Genetics and Molecular Medicine, Guy’s Hospital, London, UK
    387 rdf:type schema:Organization
    388 https://www.grid.ac/institutes/grid.26009.3d schema:alternateName Duke University
    389 schema:name Duke University Talent Identification Program, Duke University, Durham, NC, USA
    390 rdf:type schema:Organization
    391 https://www.grid.ac/institutes/grid.454378.9 schema:alternateName NIHR Maudsley Dementia Biomedical Research Unit
    392 schema:name King’s College London, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
    393 NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, UK
    394 rdf:type schema:Organization
     




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


    ...