Heritability of the shape of subcortical brain structures in the general population View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12-15

AUTHORS

Gennady V Roshchupkin, Boris A Gutman, Meike W Vernooij, Neda Jahanshad, Nicholas G Martin, Albert Hofman, Katie L McMahon, Sven J van der Lee, Cornelia M van Duijn, Greig I de Zubicaray, André G Uitterlinden, Margaret J Wright, Wiro J Niessen, Paul M Thompson, M Arfan Ikram, Hieab H H Adams

ABSTRACT

The volumes of subcortical brain structures are highly heritable, but genetic underpinnings of their shape remain relatively obscure. Here we determine the relative contribution of genetic factors to individual variation in the shape of seven bilateral subcortical structures: the nucleus accumbens, amygdala, caudate, hippocampus, pallidum, putamen and thalamus. In 3,686 unrelated individuals aged between 45 and 98 years, brain magnetic resonance imaging and genotyping was performed. The maximal heritability of shape varies from 32.7 to 53.3% across the subcortical structures. Genetic contributions to shape extend beyond influences on intracranial volume and the gross volume of the respective structure. The regional variance in heritability was related to the reliability of the measurements, but could not be accounted for by technical factors only. These findings could be replicated in an independent sample of 1,040 twins. Differences in genetic contributions within a single region reveal the value of refined brain maps to appreciate the genetic complexity of brain structures. More... »

PAGES

13738

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ncomms13738

DOI

http://dx.doi.org/10.1038/ncomms13738

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003462058

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27976715


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/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Amygdala", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brain", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Caudate Nucleus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Globus Pallidus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hippocampus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nucleus Accumbens", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Organ Size", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Putamen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Thalamus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Twins, Dizygotic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Twins, Monozygotic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam 3015 CE, The Netherlands.", 
            "Department of Medical Informatics, Erasmus MC, Rotterdam 3015 CE, The Netherlands."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roshchupkin", 
        "givenName": "Gennady V", 
        "id": "sg:person.012423702171.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012423702171.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del ReyLos Angeles, California 90292, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gutman", 
        "givenName": "Boris A", 
        "id": "sg:person.01077655153.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077655153.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam 3015 CE, The Netherlands.", 
            "Department of Epidemiology, Erasmus MC, Rotterdam 3015 CE, The Netherlands."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vernooij", 
        "givenName": "Meike W", 
        "id": "sg:person.0630735474.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0630735474.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del ReyLos Angeles, California 90292, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jahanshad", 
        "givenName": "Neda", 
        "id": "sg:person.0735661630.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735661630.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "QIMR Berghofer Medical Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.1049.c", 
          "name": [
            "QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4006, Australia."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Martin", 
        "givenName": "Nicholas G", 
        "id": "sg:person.010700366647.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010700366647.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Harvard University", 
          "id": "https://www.grid.ac/institutes/grid.38142.3c", 
          "name": [
            "Department of Epidemiology, Erasmus MC, Rotterdam 3015 CE, The Netherlands.", 
            "Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hofman", 
        "givenName": "Albert", 
        "id": "sg:person.0670056120.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670056120.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Queensland", 
          "id": "https://www.grid.ac/institutes/grid.1003.2", 
          "name": [
            "Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland 4072, Australia."
          ], 
          "type": "Organization"
        }, 
        "familyName": "McMahon", 
        "givenName": "Katie L", 
        "id": "sg:person.01162617552.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162617552.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Epidemiology, Erasmus MC, Rotterdam 3015 CE, The Netherlands."
          ], 
          "type": "Organization"
        }, 
        "familyName": "van der Lee", 
        "givenName": "Sven J", 
        "id": "sg:person.0776020115.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0776020115.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Leiden University", 
          "id": "https://www.grid.ac/institutes/grid.5132.5", 
          "name": [
            "Department of Epidemiology, Erasmus MC, Rotterdam 3015 CE, The Netherlands.", 
            "Translational Epidemiology, Faculty Science, Leiden University, Leiden, 2333 CC, The Netherlands."
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Duijn", 
        "givenName": "Cornelia M", 
        "id": "sg:person.011675454737.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011675454737.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Queensland University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.1024.7", 
          "name": [
            "Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland 4059, Australia."
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Zubicaray", 
        "givenName": "Greig I", 
        "id": "sg:person.015370177777.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015370177777.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Internal Medicine, Erasmus MC, Rotterdam 3015 CE, The Netherlands."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Uitterlinden", 
        "givenName": "Andr\u00e9 G", 
        "id": "sg:person.01174076626.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174076626.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Queensland", 
          "id": "https://www.grid.ac/institutes/grid.1003.2", 
          "name": [
            "Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland 4072, Australia.", 
            "Queensland Brain Institute, The University of Queensland, Brisbane, Queensland 4072, Australia."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wright", 
        "givenName": "Margaret J", 
        "id": "sg:person.011100167017.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011100167017.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Delft University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.5292.c", 
          "name": [
            "Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam 3015 CE, The Netherlands.", 
            "Department of Medical Informatics, Erasmus MC, Rotterdam 3015 CE, The Netherlands.", 
            "Faculty of Applied Sciences, Delft University of Technology, Delft 2628 CJ, The Netherlands."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Niessen", 
        "givenName": "Wiro J", 
        "id": "sg:person.01051150205.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051150205.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Southern California", 
          "id": "https://www.grid.ac/institutes/grid.42505.36", 
          "name": [
            "Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del ReyLos Angeles, California 90292, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thompson", 
        "givenName": "Paul M", 
        "id": "sg:person.013035660527.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013035660527.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam 3015 CE, The Netherlands.", 
            "Department of Epidemiology, Erasmus MC, Rotterdam 3015 CE, The Netherlands.", 
            "Department of Neurology, Erasmus MC, Rotterdam 3015 CE, The Netherlands."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ikram", 
        "givenName": "M Arfan", 
        "id": "sg:person.01273302464.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273302464.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam 3015 CE, The Netherlands.", 
            "Department of Epidemiology, Erasmus MC, Rotterdam 3015 CE, The Netherlands."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Adams", 
        "givenName": "Hieab H H", 
        "id": "sg:person.010127456152.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010127456152.27"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1161/circgenetics.114.000858", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001454851"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circgenetics.114.000858", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001454851"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature14101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001779993", 
          "https://doi.org/10.1038/nature14101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature14101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001779993", 
          "https://doi.org/10.1038/nature14101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hbm.22258", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002694571"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-015-0105-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003749181", 
          "https://doi.org/10.1007/s10654-015-0105-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-015-0105-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003749181", 
          "https://doi.org/10.1007/s10654-015-0105-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2015.01.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004164894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1308091110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006154332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10654-013-9866-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006325639", 
          "https://doi.org/10.1007/s10654-013-9866-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1415603112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006484750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-19992-4_16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006626125", 
          "https://doi.org/10.1007/978-3-319-19992-4_16"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.2237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007866966", 
          "https://doi.org/10.1038/ng.2237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hbm.20398", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011111191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hbm.20398", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011111191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11682-008-9029-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011862042", 
          "https://doi.org/10.1007/s11682-008-9029-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1215330", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017510988"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep36076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026202350", 
          "https://doi.org/10.1038/srep36076"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.conb.2005.03.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027193792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-3999(02)00428-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027913693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2011.08.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028384844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2004.07.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028870613"
        ], 
        "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": "https://doi.org/10.1016/j.neuroimage.2012.12.052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029741721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0130094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030696610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2377-8-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032087733", 
          "https://doi.org/10.1186/1471-2377-8-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cad.2005.10.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035479662"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2013.06.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036743928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.4398", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040794888", 
          "https://doi.org/10.1038/nn.4398"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.4398", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040794888", 
          "https://doi.org/10.1038/nn.4398"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.4398", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040794888", 
          "https://doi.org/10.1038/nn.4398"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.2250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041430579", 
          "https://doi.org/10.1038/ng.2250"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.2250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041430579", 
          "https://doi.org/10.1038/ng.2250"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3190", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041665159", 
          "https://doi.org/10.1038/ng.3190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/thg.2012.11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045545929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2015.12.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046494055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tics.2010.04.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047472356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/thg.2012.3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049779446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2011.03.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051031356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/301844", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052637044"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tmi.2014.2313812", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061696281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1176/ajp.150.1.130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063481870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/isbi.2015.7164138", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079156920"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12-15", 
    "datePublishedReg": "2016-12-15", 
    "description": "The volumes of subcortical brain structures are highly heritable, but genetic underpinnings of their shape remain relatively obscure. Here we determine the relative contribution of genetic factors to individual variation in the shape of seven bilateral subcortical structures: the nucleus accumbens, amygdala, caudate, hippocampus, pallidum, putamen and thalamus. In 3,686 unrelated individuals aged between 45 and 98 years, brain magnetic resonance imaging and genotyping was performed. The maximal heritability of shape varies from 32.7 to 53.3% across the subcortical structures. Genetic contributions to shape extend beyond influences on intracranial volume and the gross volume of the respective structure. The regional variance in heritability was related to the reliability of the measurements, but could not be accounted for by technical factors only. These findings could be replicated in an independent sample of 1,040 twins. Differences in genetic contributions within a single region reveal the value of refined brain maps to appreciate the genetic complexity of brain structures.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/ncomms13738", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2527391", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4136838", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3806376", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2448858", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3860228", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6733912", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4113415", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6732769", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3760783", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5495104", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4112312", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1043282", 
        "issn": [
          "2041-1723"
        ], 
        "name": "Nature Communications", 
        "type": "Periodical"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Heritability of the shape of subcortical brain structures in the general population", 
    "pagination": "13738", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "107df0f89f18aa2827699f6169b47fe7e9642246235a01f5d61089246d1add33"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27976715"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101528555"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/ncomms13738"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1003462058"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/ncomms13738", 
      "https://app.dimensions.ai/details/publication/pub.1003462058"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:24", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8695_00000558.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/ncomms/2016/161215/ncomms13738/full/ncomms13738.html"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/ncomms13738'

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/ncomms13738'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ncomms13738'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ncomms13738'


 

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

430 TRIPLES      21 PREDICATES      85 URIs      41 LITERALS      30 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/ncomms13738 schema:about N0ba82bb6b4ef4eb4959796fa9e029643
2 N13c4eea99ee14acbbcb21ea44c10a533
3 N1dfc3b29df30424f8589bd45168fd634
4 N333e83acffb142fda2d5bb4fcb489183
5 N3fa970e5fd534fc48cf3c7ad1cffe0a5
6 N5143b217f1e546b4940b228b7fc568f6
7 N52b2c6a5835d46f4b2104699b632d21e
8 N55654cd7cc914d00bce82327052a3451
9 N5de9d743c3da4bddbc1b1a0eeda544a7
10 N6ad9033710f6423d85e34510ebb3a6aa
11 N740a571d8cb948fdac13d6486b87cea5
12 N7a4baaa7d0ee4809925d61255ce1190b
13 N83cfdbd9133d4eb9b38c6ce149e7d3b4
14 N94e4cf85069540e69d53689531eadda2
15 Na041e1d6e6a242e4a61ae8145e7a1539
16 Na2b8e39aa1ed4dbb9340270cc2000ef8
17 Na4aba3e7f977436b8e3bbe3890f92cdf
18 Nc71eb827e14d4f12ad3ba8a371d2ff4f
19 Nc9230aa3c2fa48e38577b50141739ef8
20 Ndefbed093eca4643b22ab42061b657c5
21 Nfcc6d83dfa3e474aa8b814f2d919ffb0
22 Nfde8e7f5dc44440cbeb800eb838827cc
23 anzsrc-for:11
24 anzsrc-for:1109
25 schema:author Ne8c60e1a3dae4075aeeef86773c01a43
26 schema:citation sg:pub.10.1007/978-3-319-19992-4_16
27 sg:pub.10.1007/s10654-013-9866-z
28 sg:pub.10.1007/s10654-015-0105-7
29 sg:pub.10.1007/s11682-008-9029-0
30 sg:pub.10.1038/nature14101
31 sg:pub.10.1038/ng.2237
32 sg:pub.10.1038/ng.2250
33 sg:pub.10.1038/ng.2354
34 sg:pub.10.1038/ng.3190
35 sg:pub.10.1038/nn.4398
36 sg:pub.10.1038/srep36076
37 sg:pub.10.1186/1471-2377-8-8
38 https://doi.org/10.1002/hbm.20398
39 https://doi.org/10.1002/hbm.22258
40 https://doi.org/10.1016/j.cad.2005.10.011
41 https://doi.org/10.1016/j.conb.2005.03.004
42 https://doi.org/10.1016/j.neuroimage.2004.07.016
43 https://doi.org/10.1016/j.neuroimage.2011.03.040
44 https://doi.org/10.1016/j.neuroimage.2012.12.052
45 https://doi.org/10.1016/j.neuroimage.2013.06.027
46 https://doi.org/10.1016/j.neuroimage.2015.01.048
47 https://doi.org/10.1016/j.neuroimage.2015.12.039
48 https://doi.org/10.1016/j.neuron.2011.08.021
49 https://doi.org/10.1016/j.tics.2010.04.004
50 https://doi.org/10.1016/s0022-3999(02)00428-2
51 https://doi.org/10.1017/thg.2012.11
52 https://doi.org/10.1017/thg.2012.3
53 https://doi.org/10.1073/pnas.1308091110
54 https://doi.org/10.1073/pnas.1415603112
55 https://doi.org/10.1086/301844
56 https://doi.org/10.1109/isbi.2015.7164138
57 https://doi.org/10.1109/tmi.2014.2313812
58 https://doi.org/10.1126/science.1215330
59 https://doi.org/10.1161/circgenetics.114.000858
60 https://doi.org/10.1176/ajp.150.1.130
61 https://doi.org/10.1371/journal.pone.0130094
62 schema:datePublished 2016-12-15
63 schema:datePublishedReg 2016-12-15
64 schema:description The volumes of subcortical brain structures are highly heritable, but genetic underpinnings of their shape remain relatively obscure. Here we determine the relative contribution of genetic factors to individual variation in the shape of seven bilateral subcortical structures: the nucleus accumbens, amygdala, caudate, hippocampus, pallidum, putamen and thalamus. In 3,686 unrelated individuals aged between 45 and 98 years, brain magnetic resonance imaging and genotyping was performed. The maximal heritability of shape varies from 32.7 to 53.3% across the subcortical structures. Genetic contributions to shape extend beyond influences on intracranial volume and the gross volume of the respective structure. The regional variance in heritability was related to the reliability of the measurements, but could not be accounted for by technical factors only. These findings could be replicated in an independent sample of 1,040 twins. Differences in genetic contributions within a single region reveal the value of refined brain maps to appreciate the genetic complexity of brain structures.
65 schema:genre research_article
66 schema:inLanguage en
67 schema:isAccessibleForFree true
68 schema:isPartOf Nf54baca2b99b44d7b1bb36166fbcf5bd
69 sg:journal.1043282
70 schema:name Heritability of the shape of subcortical brain structures in the general population
71 schema:pagination 13738
72 schema:productId N1a3c31f1e891454e9a34a13036b40b00
73 Na67926ce8b6f454e9be2324668377cdf
74 Ncb63418af997409ba672995941527e6b
75 Nf720bd25344b4795a576253ecd4fa2fd
76 Nf9412529753d45e592354d6ed4ad9507
77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003462058
78 https://doi.org/10.1038/ncomms13738
79 schema:sdDatePublished 2019-04-11T00:24
80 schema:sdLicense https://scigraph.springernature.com/explorer/license/
81 schema:sdPublisher Nfbec1be3ed9344b0bea8a9ed9127e115
82 schema:url http://www.nature.com/ncomms/2016/161215/ncomms13738/full/ncomms13738.html
83 sgo:license sg:explorer/license/
84 sgo:sdDataset articles
85 rdf:type schema:ScholarlyArticle
86 N0b15669c585943ed89acdc74fe7bc5c4 rdf:first sg:person.0735661630.67
87 rdf:rest Ne19422526a3d43a4bcfb076a9c0d6d6f
88 N0ba82bb6b4ef4eb4959796fa9e029643 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Adult
90 rdf:type schema:DefinedTerm
91 N13c4eea99ee14acbbcb21ea44c10a533 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Twins, Monozygotic
93 rdf:type schema:DefinedTerm
94 N1a3c31f1e891454e9a34a13036b40b00 schema:name doi
95 schema:value 10.1038/ncomms13738
96 rdf:type schema:PropertyValue
97 N1c9dd8d6b9a942de884b1aeaf753818f rdf:first sg:person.01051150205.72
98 rdf:rest Nf47f5b3f6cc14e788e69e451c5d7e9bc
99 N1dfc3b29df30424f8589bd45168fd634 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Putamen
101 rdf:type schema:DefinedTerm
102 N2697d59225d24e0d839c23a0d85581d3 rdf:first sg:person.010127456152.27
103 rdf:rest rdf:nil
104 N333e83acffb142fda2d5bb4fcb489183 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Hippocampus
106 rdf:type schema:DefinedTerm
107 N3e2c8b5d9f3c433cb1a73424ea5ef0f7 rdf:first sg:person.015370177777.53
108 rdf:rest N55b82204fefc4aa382392ec73fa040ba
109 N3fa970e5fd534fc48cf3c7ad1cffe0a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Organ Size
111 rdf:type schema:DefinedTerm
112 N43b20477c96b4d759e5ac9017c41e610 rdf:first sg:person.01273302464.25
113 rdf:rest N2697d59225d24e0d839c23a0d85581d3
114 N5143b217f1e546b4940b228b7fc568f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Humans
116 rdf:type schema:DefinedTerm
117 N52b2c6a5835d46f4b2104699b632d21e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Twins, Dizygotic
119 rdf:type schema:DefinedTerm
120 N55654cd7cc914d00bce82327052a3451 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Thalamus
122 rdf:type schema:DefinedTerm
123 N55b82204fefc4aa382392ec73fa040ba rdf:first sg:person.01174076626.46
124 rdf:rest N8b82795789e348d9ab7589235156c075
125 N5d2dd7ac7cf9421eaa71432b82bffe82 rdf:first sg:person.01077655153.44
126 rdf:rest Na052612482204da8875343ee0361cb4c
127 N5de9d743c3da4bddbc1b1a0eeda544a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Male
129 rdf:type schema:DefinedTerm
130 N69653361cc9242ed9b47f958a1ec4b75 rdf:first sg:person.0670056120.12
131 rdf:rest Nf64ad265e0194f439fe58748b64e171f
132 N6ad9033710f6423d85e34510ebb3a6aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Caudate Nucleus
134 rdf:type schema:DefinedTerm
135 N740a571d8cb948fdac13d6486b87cea5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Genotype
137 rdf:type schema:DefinedTerm
138 N7951bdeeff374f75bd36f71034965b10 rdf:first sg:person.011675454737.09
139 rdf:rest N3e2c8b5d9f3c433cb1a73424ea5ef0f7
140 N7a4baaa7d0ee4809925d61255ce1190b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Magnetic Resonance Imaging
142 rdf:type schema:DefinedTerm
143 N83cfdbd9133d4eb9b38c6ce149e7d3b4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Young Adult
145 rdf:type schema:DefinedTerm
146 N8b82795789e348d9ab7589235156c075 rdf:first sg:person.011100167017.81
147 rdf:rest N1c9dd8d6b9a942de884b1aeaf753818f
148 N94e4cf85069540e69d53689531eadda2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Brain
150 rdf:type schema:DefinedTerm
151 Na041e1d6e6a242e4a61ae8145e7a1539 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Globus Pallidus
153 rdf:type schema:DefinedTerm
154 Na052612482204da8875343ee0361cb4c rdf:first sg:person.0630735474.31
155 rdf:rest N0b15669c585943ed89acdc74fe7bc5c4
156 Na2b8e39aa1ed4dbb9340270cc2000ef8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Aged
158 rdf:type schema:DefinedTerm
159 Na4aba3e7f977436b8e3bbe3890f92cdf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Aged, 80 and over
161 rdf:type schema:DefinedTerm
162 Na67926ce8b6f454e9be2324668377cdf schema:name dimensions_id
163 schema:value pub.1003462058
164 rdf:type schema:PropertyValue
165 Nbf04374208584c579195c2a4448b060d rdf:first sg:person.0776020115.42
166 rdf:rest N7951bdeeff374f75bd36f71034965b10
167 Nc71eb827e14d4f12ad3ba8a371d2ff4f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Amygdala
169 rdf:type schema:DefinedTerm
170 Nc9230aa3c2fa48e38577b50141739ef8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Reproducibility of Results
172 rdf:type schema:DefinedTerm
173 Ncb63418af997409ba672995941527e6b schema:name nlm_unique_id
174 schema:value 101528555
175 rdf:type schema:PropertyValue
176 Ndefbed093eca4643b22ab42061b657c5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Nucleus Accumbens
178 rdf:type schema:DefinedTerm
179 Ne19422526a3d43a4bcfb076a9c0d6d6f rdf:first sg:person.010700366647.17
180 rdf:rest N69653361cc9242ed9b47f958a1ec4b75
181 Ne8c60e1a3dae4075aeeef86773c01a43 rdf:first sg:person.012423702171.40
182 rdf:rest N5d2dd7ac7cf9421eaa71432b82bffe82
183 Nf47f5b3f6cc14e788e69e451c5d7e9bc rdf:first sg:person.013035660527.88
184 rdf:rest N43b20477c96b4d759e5ac9017c41e610
185 Nf54baca2b99b44d7b1bb36166fbcf5bd schema:volumeNumber 7
186 rdf:type schema:PublicationVolume
187 Nf64ad265e0194f439fe58748b64e171f rdf:first sg:person.01162617552.19
188 rdf:rest Nbf04374208584c579195c2a4448b060d
189 Nf720bd25344b4795a576253ecd4fa2fd schema:name readcube_id
190 schema:value 107df0f89f18aa2827699f6169b47fe7e9642246235a01f5d61089246d1add33
191 rdf:type schema:PropertyValue
192 Nf9412529753d45e592354d6ed4ad9507 schema:name pubmed_id
193 schema:value 27976715
194 rdf:type schema:PropertyValue
195 Nfbec1be3ed9344b0bea8a9ed9127e115 schema:name Springer Nature - SN SciGraph project
196 rdf:type schema:Organization
197 Nfcc6d83dfa3e474aa8b814f2d919ffb0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
198 schema:name Female
199 rdf:type schema:DefinedTerm
200 Nfde8e7f5dc44440cbeb800eb838827cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
201 schema:name Middle Aged
202 rdf:type schema:DefinedTerm
203 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
204 schema:name Medical and Health Sciences
205 rdf:type schema:DefinedTerm
206 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
207 schema:name Neurosciences
208 rdf:type schema:DefinedTerm
209 sg:grant.2448858 http://pending.schema.org/fundedItem sg:pub.10.1038/ncomms13738
210 rdf:type schema:MonetaryGrant
211 sg:grant.2527391 http://pending.schema.org/fundedItem sg:pub.10.1038/ncomms13738
212 rdf:type schema:MonetaryGrant
213 sg:grant.3760783 http://pending.schema.org/fundedItem sg:pub.10.1038/ncomms13738
214 rdf:type schema:MonetaryGrant
215 sg:grant.3806376 http://pending.schema.org/fundedItem sg:pub.10.1038/ncomms13738
216 rdf:type schema:MonetaryGrant
217 sg:grant.3860228 http://pending.schema.org/fundedItem sg:pub.10.1038/ncomms13738
218 rdf:type schema:MonetaryGrant
219 sg:grant.4112312 http://pending.schema.org/fundedItem sg:pub.10.1038/ncomms13738
220 rdf:type schema:MonetaryGrant
221 sg:grant.4113415 http://pending.schema.org/fundedItem sg:pub.10.1038/ncomms13738
222 rdf:type schema:MonetaryGrant
223 sg:grant.4136838 http://pending.schema.org/fundedItem sg:pub.10.1038/ncomms13738
224 rdf:type schema:MonetaryGrant
225 sg:grant.5495104 http://pending.schema.org/fundedItem sg:pub.10.1038/ncomms13738
226 rdf:type schema:MonetaryGrant
227 sg:grant.6732769 http://pending.schema.org/fundedItem sg:pub.10.1038/ncomms13738
228 rdf:type schema:MonetaryGrant
229 sg:grant.6733912 http://pending.schema.org/fundedItem sg:pub.10.1038/ncomms13738
230 rdf:type schema:MonetaryGrant
231 sg:journal.1043282 schema:issn 2041-1723
232 schema:name Nature Communications
233 rdf:type schema:Periodical
234 sg:person.010127456152.27 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
235 schema:familyName Adams
236 schema:givenName Hieab H H
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010127456152.27
238 rdf:type schema:Person
239 sg:person.01051150205.72 schema:affiliation https://www.grid.ac/institutes/grid.5292.c
240 schema:familyName Niessen
241 schema:givenName Wiro J
242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051150205.72
243 rdf:type schema:Person
244 sg:person.010700366647.17 schema:affiliation https://www.grid.ac/institutes/grid.1049.c
245 schema:familyName Martin
246 schema:givenName Nicholas G
247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010700366647.17
248 rdf:type schema:Person
249 sg:person.01077655153.44 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
250 schema:familyName Gutman
251 schema:givenName Boris A
252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077655153.44
253 rdf:type schema:Person
254 sg:person.011100167017.81 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
255 schema:familyName Wright
256 schema:givenName Margaret J
257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011100167017.81
258 rdf:type schema:Person
259 sg:person.01162617552.19 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
260 schema:familyName McMahon
261 schema:givenName Katie L
262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162617552.19
263 rdf:type schema:Person
264 sg:person.011675454737.09 schema:affiliation https://www.grid.ac/institutes/grid.5132.5
265 schema:familyName van Duijn
266 schema:givenName Cornelia M
267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011675454737.09
268 rdf:type schema:Person
269 sg:person.01174076626.46 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
270 schema:familyName Uitterlinden
271 schema:givenName André G
272 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174076626.46
273 rdf:type schema:Person
274 sg:person.012423702171.40 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
275 schema:familyName Roshchupkin
276 schema:givenName Gennady V
277 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012423702171.40
278 rdf:type schema:Person
279 sg:person.01273302464.25 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
280 schema:familyName Ikram
281 schema:givenName M Arfan
282 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273302464.25
283 rdf:type schema:Person
284 sg:person.013035660527.88 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
285 schema:familyName Thompson
286 schema:givenName Paul M
287 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013035660527.88
288 rdf:type schema:Person
289 sg:person.015370177777.53 schema:affiliation https://www.grid.ac/institutes/grid.1024.7
290 schema:familyName de Zubicaray
291 schema:givenName Greig I
292 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015370177777.53
293 rdf:type schema:Person
294 sg:person.0630735474.31 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
295 schema:familyName Vernooij
296 schema:givenName Meike W
297 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0630735474.31
298 rdf:type schema:Person
299 sg:person.0670056120.12 schema:affiliation https://www.grid.ac/institutes/grid.38142.3c
300 schema:familyName Hofman
301 schema:givenName Albert
302 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670056120.12
303 rdf:type schema:Person
304 sg:person.0735661630.67 schema:affiliation https://www.grid.ac/institutes/grid.42505.36
305 schema:familyName Jahanshad
306 schema:givenName Neda
307 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735661630.67
308 rdf:type schema:Person
309 sg:person.0776020115.42 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
310 schema:familyName van der Lee
311 schema:givenName Sven J
312 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0776020115.42
313 rdf:type schema:Person
314 sg:pub.10.1007/978-3-319-19992-4_16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006626125
315 https://doi.org/10.1007/978-3-319-19992-4_16
316 rdf:type schema:CreativeWork
317 sg:pub.10.1007/s10654-013-9866-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1006325639
318 https://doi.org/10.1007/s10654-013-9866-z
319 rdf:type schema:CreativeWork
320 sg:pub.10.1007/s10654-015-0105-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003749181
321 https://doi.org/10.1007/s10654-015-0105-7
322 rdf:type schema:CreativeWork
323 sg:pub.10.1007/s11682-008-9029-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011862042
324 https://doi.org/10.1007/s11682-008-9029-0
325 rdf:type schema:CreativeWork
326 sg:pub.10.1038/nature14101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001779993
327 https://doi.org/10.1038/nature14101
328 rdf:type schema:CreativeWork
329 sg:pub.10.1038/ng.2237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007866966
330 https://doi.org/10.1038/ng.2237
331 rdf:type schema:CreativeWork
332 sg:pub.10.1038/ng.2250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041430579
333 https://doi.org/10.1038/ng.2250
334 rdf:type schema:CreativeWork
335 sg:pub.10.1038/ng.2354 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029723318
336 https://doi.org/10.1038/ng.2354
337 rdf:type schema:CreativeWork
338 sg:pub.10.1038/ng.3190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041665159
339 https://doi.org/10.1038/ng.3190
340 rdf:type schema:CreativeWork
341 sg:pub.10.1038/nn.4398 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040794888
342 https://doi.org/10.1038/nn.4398
343 rdf:type schema:CreativeWork
344 sg:pub.10.1038/srep36076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026202350
345 https://doi.org/10.1038/srep36076
346 rdf:type schema:CreativeWork
347 sg:pub.10.1186/1471-2377-8-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032087733
348 https://doi.org/10.1186/1471-2377-8-8
349 rdf:type schema:CreativeWork
350 https://doi.org/10.1002/hbm.20398 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011111191
351 rdf:type schema:CreativeWork
352 https://doi.org/10.1002/hbm.22258 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002694571
353 rdf:type schema:CreativeWork
354 https://doi.org/10.1016/j.cad.2005.10.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035479662
355 rdf:type schema:CreativeWork
356 https://doi.org/10.1016/j.conb.2005.03.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027193792
357 rdf:type schema:CreativeWork
358 https://doi.org/10.1016/j.neuroimage.2004.07.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028870613
359 rdf:type schema:CreativeWork
360 https://doi.org/10.1016/j.neuroimage.2011.03.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051031356
361 rdf:type schema:CreativeWork
362 https://doi.org/10.1016/j.neuroimage.2012.12.052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029741721
363 rdf:type schema:CreativeWork
364 https://doi.org/10.1016/j.neuroimage.2013.06.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036743928
365 rdf:type schema:CreativeWork
366 https://doi.org/10.1016/j.neuroimage.2015.01.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004164894
367 rdf:type schema:CreativeWork
368 https://doi.org/10.1016/j.neuroimage.2015.12.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046494055
369 rdf:type schema:CreativeWork
370 https://doi.org/10.1016/j.neuron.2011.08.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028384844
371 rdf:type schema:CreativeWork
372 https://doi.org/10.1016/j.tics.2010.04.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047472356
373 rdf:type schema:CreativeWork
374 https://doi.org/10.1016/s0022-3999(02)00428-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027913693
375 rdf:type schema:CreativeWork
376 https://doi.org/10.1017/thg.2012.11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045545929
377 rdf:type schema:CreativeWork
378 https://doi.org/10.1017/thg.2012.3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049779446
379 rdf:type schema:CreativeWork
380 https://doi.org/10.1073/pnas.1308091110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006154332
381 rdf:type schema:CreativeWork
382 https://doi.org/10.1073/pnas.1415603112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006484750
383 rdf:type schema:CreativeWork
384 https://doi.org/10.1086/301844 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052637044
385 rdf:type schema:CreativeWork
386 https://doi.org/10.1109/isbi.2015.7164138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079156920
387 rdf:type schema:CreativeWork
388 https://doi.org/10.1109/tmi.2014.2313812 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061696281
389 rdf:type schema:CreativeWork
390 https://doi.org/10.1126/science.1215330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017510988
391 rdf:type schema:CreativeWork
392 https://doi.org/10.1161/circgenetics.114.000858 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001454851
393 rdf:type schema:CreativeWork
394 https://doi.org/10.1176/ajp.150.1.130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063481870
395 rdf:type schema:CreativeWork
396 https://doi.org/10.1371/journal.pone.0130094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030696610
397 rdf:type schema:CreativeWork
398 https://www.grid.ac/institutes/grid.1003.2 schema:alternateName University of Queensland
399 schema:name Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland 4072, Australia.
400 Queensland Brain Institute, The University of Queensland, Brisbane, Queensland 4072, Australia.
401 rdf:type schema:Organization
402 https://www.grid.ac/institutes/grid.1024.7 schema:alternateName Queensland University of Technology
403 schema:name Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland 4059, Australia.
404 rdf:type schema:Organization
405 https://www.grid.ac/institutes/grid.1049.c schema:alternateName QIMR Berghofer Medical Research Institute
406 schema:name QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4006, Australia.
407 rdf:type schema:Organization
408 https://www.grid.ac/institutes/grid.38142.3c schema:alternateName Harvard University
409 schema:name Department of Epidemiology, Erasmus MC, Rotterdam 3015 CE, The Netherlands.
410 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA.
411 rdf:type schema:Organization
412 https://www.grid.ac/institutes/grid.42505.36 schema:alternateName University of Southern California
413 schema:name Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del ReyLos Angeles, California 90292, USA.
414 rdf:type schema:Organization
415 https://www.grid.ac/institutes/grid.5132.5 schema:alternateName Leiden University
416 schema:name Department of Epidemiology, Erasmus MC, Rotterdam 3015 CE, The Netherlands.
417 Translational Epidemiology, Faculty Science, Leiden University, Leiden, 2333 CC, The Netherlands.
418 rdf:type schema:Organization
419 https://www.grid.ac/institutes/grid.5292.c schema:alternateName Delft University of Technology
420 schema:name Department of Medical Informatics, Erasmus MC, Rotterdam 3015 CE, The Netherlands.
421 Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam 3015 CE, The Netherlands.
422 Faculty of Applied Sciences, Delft University of Technology, Delft 2628 CJ, The Netherlands.
423 rdf:type schema:Organization
424 https://www.grid.ac/institutes/grid.5645.2 schema:alternateName Erasmus University Medical Center
425 schema:name Department of Epidemiology, Erasmus MC, Rotterdam 3015 CE, The Netherlands.
426 Department of Internal Medicine, Erasmus MC, Rotterdam 3015 CE, The Netherlands.
427 Department of Medical Informatics, Erasmus MC, Rotterdam 3015 CE, The Netherlands.
428 Department of Neurology, Erasmus MC, Rotterdam 3015 CE, The Netherlands.
429 Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam 3015 CE, The Netherlands.
430 rdf:type schema:Organization
 




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


...