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Structural brain MRI trait polygenic score prediction of cognitive abilities

Identifieur interne : 001E36 ( Pmc/Corpus ); précédent : 001E35; suivant : 001E37

Structural brain MRI trait polygenic score prediction of cognitive abilities

Auteurs : Michelle Luciano ; Riccardo E. Marioni ; Maria Valdés Hernández ; Susana Munoz Maniega ; Iona F. Hamilton ; Natalie A. Royle ; Generation Scotland ; Ganesh Chauhan ; Joshua C. Bis ; Stephanie Debette ; Charles Decarli ; Myriam Fornage ; Reinhold Schmidt ; M. Arfan Ikram ; Lenore J. Launer ; Sudha Seshadri ; Mark E. Bastin ; David J. Porteous ; Joanna Wardlaw ; Ian J. Deary

Source :

RBID : PMC:4747328

Abstract

Structural brain magnetic resonance imaging (MRI) traits share part of their genetic variance with cognitive traits. Here, we use genetic association results from large meta-analytic studies of genome-wide association for brain infarcts, white matter hyperintensities, intracranial, hippocampal and total brain volumes to estimate polygenic scores for these traits in three Scottish samples: Generation Scotland: Scottish Family Health Study (GS:SFHS), and the Lothian Birth Cohorts of 1936 (LBC1936) and 1921 (LBC1921). These five brain MRI trait polygenic scores were then used to 1) predict corresponding MRI traits in the LBC1936 (numbers ranged 573 to 630 across traits) and 2) predict cognitive traits in all three cohorts (in 8,115 to 8,250 persons). In the LBC1936, all MRI phenotypic traits were correlated with at least one cognitive measure; and polygenic prediction of MRI traits was observed for intracranial volume. Meta-analysis of the correlations between MRI polygenic scores and cognitive traits revealed a significant negative correlation (maximal r=0.08) between the hippocampal volume polygenic score and measures of global cognitive ability collected in childhood and in old age in the Lothian Birth Cohorts. The lack of association to a related general cognitive measure when including the GS:SFHS points to either type 1 error or the importance of using prediction samples that closely match the demographics of the genome-wide association samples from which prediction is based. Ideally, these analyses should be repeated in larger samples with data on both MRI and cognition, and using MRI GWA results from even larger meta-analysis studies.


Url:
DOI: 10.1017/thg.2015.71
PubMed: 26427786
PubMed Central: 4747328

Links to Exploration step

PMC:4747328

Le document en format XML

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<name sortKey="Hernandez, Maria Valdes" sort="Hernandez, Maria Valdes" uniqKey="Hernandez M" first="Maria Valdés" last="Hernández">Maria Valdés Hernández</name>
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<name sortKey="Hamilton, Iona F" sort="Hamilton, Iona F" uniqKey="Hamilton I" first="Iona F" last="Hamilton">Iona F. Hamilton</name>
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<name sortKey="Royle, Natalie A" sort="Royle, Natalie A" uniqKey="Royle N" first="Natalie A." last="Royle">Natalie A. Royle</name>
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<name sortKey="Chauhan, Ganesh" sort="Chauhan, Ganesh" uniqKey="Chauhan G" first="Ganesh" last="Chauhan">Ganesh Chauhan</name>
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<nlm:aff id="A10">University of Bordeaux, Bordeaux, France</nlm:aff>
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<name sortKey="Bis, Joshua C" sort="Bis, Joshua C" uniqKey="Bis J" first="Joshua C." last="Bis">Joshua C. Bis</name>
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<nlm:aff id="A12">Department of Medicine, University of Washington, Seattle, WA</nlm:aff>
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<name sortKey="Debette, Stephanie" sort="Debette, Stephanie" uniqKey="Debette S" first="Stephanie" last="Debette">Stephanie Debette</name>
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<nlm:aff id="A10">University of Bordeaux, Bordeaux, France</nlm:aff>
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<nlm:aff id="A13">Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA</nlm:aff>
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<nlm:aff id="A14">Department of Neurology, Bordeaux University Hospital, Bordeaux, France</nlm:aff>
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<name sortKey="Decarli, Charles" sort="Decarli, Charles" uniqKey="Decarli C" first="Charles" last="Decarli">Charles Decarli</name>
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<nlm:aff id="A15">Department of Neurology and Center for Neuroscience, University of California at Davis, Davis, CA</nlm:aff>
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<name sortKey="Fornage, Myriam" sort="Fornage, Myriam" uniqKey="Fornage M" first="Myriam" last="Fornage">Myriam Fornage</name>
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<nlm:aff id="A17">Human Genetics Center, Division of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX</nlm:aff>
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<name sortKey="Schmidt, Reinhold" sort="Schmidt, Reinhold" uniqKey="Schmidt R" first="Reinhold" last="Schmidt">Reinhold Schmidt</name>
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<name sortKey="Ikram, M Arfan" sort="Ikram, M Arfan" uniqKey="Ikram M" first="M. Arfan" last="Ikram">M. Arfan Ikram</name>
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<nlm:aff id="A19">Departments of Epidemiology, Radiology and Neurology at Erasmus MC University Medical Center, Rotterdam, The Netherlands</nlm:aff>
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<name sortKey="Launer, Lenore J" sort="Launer, Lenore J" uniqKey="Launer L" first="Lenore J." last="Launer">Lenore J. Launer</name>
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<name sortKey="Seshadri, Sudha" sort="Seshadri, Sudha" uniqKey="Seshadri S" first="Sudha" last="Seshadri">Sudha Seshadri</name>
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<nlm:aff id="A21">Framingham Heart Study</nlm:aff>
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<name sortKey="Bastin, Mark E" sort="Bastin, Mark E" uniqKey="Bastin M" first="Mark E." last="Bastin">Mark E. Bastin</name>
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<nlm:aff id="A5">Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
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<nlm:aff id="A6">Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
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<name sortKey="Porteous, David J" sort="Porteous, David J" uniqKey="Porteous D" first="David J." last="Porteous">David J. Porteous</name>
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<nlm:aff id="A1">Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK</nlm:aff>
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<nlm:aff id="A8">Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK</nlm:aff>
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<name sortKey="Wardlaw, Joanna" sort="Wardlaw, Joanna" uniqKey="Wardlaw J" first="Joanna" last="Wardlaw">Joanna Wardlaw</name>
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<nlm:aff id="A1">Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK</nlm:aff>
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<nlm:aff id="A5">Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
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<nlm:aff id="A6">Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
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<nlm:aff id="A7">Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
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<name sortKey="Deary, Ian J" sort="Deary, Ian J" uniqKey="Deary I" first="Ian J" last="Deary">Ian J. Deary</name>
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<nlm:aff id="A2">Department of Psychology, University of Edinburgh, Edinburgh, UK</nlm:aff>
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<nlm:aff id="A2">Department of Psychology, University of Edinburgh, Edinburgh, UK</nlm:aff>
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<name sortKey="Marioni, Riccardo E" sort="Marioni, Riccardo E" uniqKey="Marioni R" first="Riccardo E" last="Marioni">Riccardo E. Marioni</name>
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<nlm:aff id="A3">Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK</nlm:aff>
</affiliation>
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<nlm:aff id="A4">Queensland Brain Institute, The University of Queensland, Brisbane, Australia</nlm:aff>
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<name sortKey="Hernandez, Maria Valdes" sort="Hernandez, Maria Valdes" uniqKey="Hernandez M" first="Maria Valdés" last="Hernández">Maria Valdés Hernández</name>
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<nlm:aff id="A1">Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK</nlm:aff>
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<nlm:aff id="A5">Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A6">Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
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<nlm:aff id="A7">Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
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<name sortKey="Maniega, Susana Munoz" sort="Maniega, Susana Munoz" uniqKey="Maniega S" first="Susana Munoz" last="Maniega">Susana Munoz Maniega</name>
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<nlm:aff id="A1">Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A5">Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A6">Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A7">Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
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<name sortKey="Hamilton, Iona F" sort="Hamilton, Iona F" uniqKey="Hamilton I" first="Iona F" last="Hamilton">Iona F. Hamilton</name>
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<nlm:aff id="A1">Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK</nlm:aff>
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<affiliation>
<nlm:aff id="A5">Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A6">Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A7">Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
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<name sortKey="Royle, Natalie A" sort="Royle, Natalie A" uniqKey="Royle N" first="Natalie A." last="Royle">Natalie A. Royle</name>
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<nlm:aff id="A1">Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A5">Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A6">Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
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<nlm:aff id="A7">Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
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<name sortKey="Scotland, Generation" sort="Scotland, Generation" uniqKey="Scotland G" first="Generation" last="Scotland">Generation Scotland</name>
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<nlm:aff id="A8">Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Chauhan, Ganesh" sort="Chauhan, Ganesh" uniqKey="Chauhan G" first="Ganesh" last="Chauhan">Ganesh Chauhan</name>
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<nlm:aff id="A9">Inserm Research Center for Epidemiology and Biostatistics (U897) - Team Neuroepidemiology, Bordeaux, France</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A10">University of Bordeaux, Bordeaux, France</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Bis, Joshua C" sort="Bis, Joshua C" uniqKey="Bis J" first="Joshua C." last="Bis">Joshua C. Bis</name>
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<nlm:aff id="A11">Cardiovascular Health Research Unit, University of Washington, Seattle, WA</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A12">Department of Medicine, University of Washington, Seattle, WA</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Debette, Stephanie" sort="Debette, Stephanie" uniqKey="Debette S" first="Stephanie" last="Debette">Stephanie Debette</name>
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<nlm:aff id="A9">Inserm Research Center for Epidemiology and Biostatistics (U897) - Team Neuroepidemiology, Bordeaux, France</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A10">University of Bordeaux, Bordeaux, France</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A13">Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A14">Department of Neurology, Bordeaux University Hospital, Bordeaux, France</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Decarli, Charles" sort="Decarli, Charles" uniqKey="Decarli C" first="Charles" last="Decarli">Charles Decarli</name>
<affiliation>
<nlm:aff id="A15">Department of Neurology and Center for Neuroscience, University of California at Davis, Davis, CA</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Fornage, Myriam" sort="Fornage, Myriam" uniqKey="Fornage M" first="Myriam" last="Fornage">Myriam Fornage</name>
<affiliation>
<nlm:aff id="A16">Brown Foundation Institute of Molecular Medicine, Division of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A17">Human Genetics Center, Division of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Schmidt, Reinhold" sort="Schmidt, Reinhold" uniqKey="Schmidt R" first="Reinhold" last="Schmidt">Reinhold Schmidt</name>
<affiliation>
<nlm:aff id="A18">Department of Neurology, Medical University Graz, Graz, Austria</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Ikram, M Arfan" sort="Ikram, M Arfan" uniqKey="Ikram M" first="M. Arfan" last="Ikram">M. Arfan Ikram</name>
<affiliation>
<nlm:aff id="A19">Departments of Epidemiology, Radiology and Neurology at Erasmus MC University Medical Center, Rotterdam, The Netherlands</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Launer, Lenore J" sort="Launer, Lenore J" uniqKey="Launer L" first="Lenore J." last="Launer">Lenore J. Launer</name>
<affiliation>
<nlm:aff id="A20">Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Seshadri, Sudha" sort="Seshadri, Sudha" uniqKey="Seshadri S" first="Sudha" last="Seshadri">Sudha Seshadri</name>
<affiliation>
<nlm:aff id="A13">Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A21">Framingham Heart Study</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Bastin, Mark E" sort="Bastin, Mark E" uniqKey="Bastin M" first="Mark E." last="Bastin">Mark E. Bastin</name>
<affiliation>
<nlm:aff id="A1">Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A5">Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A6">Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A7">Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Porteous, David J" sort="Porteous, David J" uniqKey="Porteous D" first="David J." last="Porteous">David J. Porteous</name>
<affiliation>
<nlm:aff id="A1">Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A8">Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Wardlaw, Joanna" sort="Wardlaw, Joanna" uniqKey="Wardlaw J" first="Joanna" last="Wardlaw">Joanna Wardlaw</name>
<affiliation>
<nlm:aff id="A1">Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A5">Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A6">Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A7">Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Deary, Ian J" sort="Deary, Ian J" uniqKey="Deary I" first="Ian J" last="Deary">Ian J. Deary</name>
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<nlm:aff id="A1">Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK</nlm:aff>
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<nlm:aff id="A2">Department of Psychology, University of Edinburgh, Edinburgh, UK</nlm:aff>
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<title level="j">Twin research and human genetics : the official journal of the International Society for Twin Studies</title>
<idno type="ISSN">1832-4274</idno>
<imprint>
<date when="2015">2015</date>
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<div type="abstract" xml:lang="en">
<p id="P1">Structural brain magnetic resonance imaging (MRI) traits share part of their genetic variance with cognitive traits. Here, we use genetic association results from large meta-analytic studies of genome-wide association for brain infarcts, white matter hyperintensities, intracranial, hippocampal and total brain volumes to estimate polygenic scores for these traits in three Scottish samples: Generation Scotland: Scottish Family Health Study (GS:SFHS), and the Lothian Birth Cohorts of 1936 (LBC1936) and 1921 (LBC1921). These five brain MRI trait polygenic scores were then used to 1) predict corresponding MRI traits in the LBC1936 (numbers ranged 573 to 630 across traits) and 2) predict cognitive traits in all three cohorts (in 8,115 to 8,250 persons). In the LBC1936, all MRI phenotypic traits were correlated with at least one cognitive measure; and polygenic prediction of MRI traits was observed for intracranial volume. Meta-analysis of the correlations between MRI polygenic scores and cognitive traits revealed a significant negative correlation (maximal
<italic>r=</italic>
0.08) between the hippocampal volume polygenic score and measures of global cognitive ability collected in childhood and in old age in the Lothian Birth Cohorts. The lack of association to a related general cognitive measure when including the GS:SFHS points to either type 1 error or the importance of using prediction samples that closely match the demographics of the genome-wide association samples from which prediction is based. Ideally, these analyses should be repeated in larger samples with data on both MRI and cognition, and using MRI GWA results from even larger meta-analysis studies.</p>
</div>
</front>
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<pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-journal-id">101244624</journal-id>
<journal-id journal-id-type="pubmed-jr-id">32375</journal-id>
<journal-id journal-id-type="nlm-ta">Twin Res Hum Genet</journal-id>
<journal-id journal-id-type="iso-abbrev">Twin Res Hum Genet</journal-id>
<journal-title-group>
<journal-title>Twin research and human genetics : the official journal of the International Society for Twin Studies</journal-title>
</journal-title-group>
<issn pub-type="ppub">1832-4274</issn>
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<article-id pub-id-type="pmid">26427786</article-id>
<article-id pub-id-type="pmc">4747328</article-id>
<article-id pub-id-type="doi">10.1017/thg.2015.71</article-id>
<article-id pub-id-type="manuscript">NIHMS757257</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Structural brain MRI trait polygenic score prediction of cognitive abilities</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Luciano</surname>
<given-names>Michelle</given-names>
</name>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A2">b</xref>
<xref rid="FN1" ref-type="author-notes">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Marioni</surname>
<given-names>Riccardo E</given-names>
</name>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A3">c</xref>
<xref ref-type="aff" rid="A4">d</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hernández</surname>
<given-names>Maria Valdés</given-names>
</name>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A5">e</xref>
<xref ref-type="aff" rid="A6">f</xref>
<xref ref-type="aff" rid="A7">g</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Maniega</surname>
<given-names>Susana Munoz</given-names>
</name>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A5">e</xref>
<xref ref-type="aff" rid="A6">f</xref>
<xref ref-type="aff" rid="A7">g</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hamilton</surname>
<given-names>Iona F</given-names>
</name>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A5">e</xref>
<xref ref-type="aff" rid="A6">f</xref>
<xref ref-type="aff" rid="A7">g</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Royle</surname>
<given-names>Natalie A.</given-names>
</name>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A5">e</xref>
<xref ref-type="aff" rid="A6">f</xref>
<xref ref-type="aff" rid="A7">g</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Scotland</surname>
<given-names>Generation</given-names>
</name>
<xref ref-type="aff" rid="A8">h</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chauhan</surname>
<given-names>Ganesh</given-names>
</name>
<xref ref-type="aff" rid="A9">i</xref>
<xref ref-type="aff" rid="A10">j</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bis</surname>
<given-names>Joshua C.</given-names>
</name>
<xref ref-type="aff" rid="A11">k</xref>
<xref ref-type="aff" rid="A12">l</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Debette</surname>
<given-names>Stephanie</given-names>
</name>
<xref ref-type="aff" rid="A9">i</xref>
<xref ref-type="aff" rid="A10">j</xref>
<xref ref-type="aff" rid="A13">m</xref>
<xref ref-type="aff" rid="A14">n</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>DeCarli</surname>
<given-names>Charles</given-names>
</name>
<xref ref-type="aff" rid="A15">o</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fornage</surname>
<given-names>Myriam</given-names>
</name>
<xref ref-type="aff" rid="A16">p</xref>
<xref ref-type="aff" rid="A17">q</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Schmidt</surname>
<given-names>Reinhold</given-names>
</name>
<xref ref-type="aff" rid="A18">r</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ikram</surname>
<given-names>M. Arfan</given-names>
</name>
<xref ref-type="aff" rid="A19">s</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Launer</surname>
<given-names>Lenore J.</given-names>
</name>
<xref ref-type="aff" rid="A20">t</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Seshadri</surname>
<given-names>Sudha</given-names>
</name>
<xref ref-type="aff" rid="A13">m</xref>
<xref ref-type="aff" rid="A21">u</xref>
</contrib>
<contrib contrib-type="author">
<collab>the CHARGE Consortium</collab>
<xref ref-type="aff" rid="A13">m</xref>
<xref ref-type="aff" rid="A21">u</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bastin</surname>
<given-names>Mark E.</given-names>
</name>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A5">e</xref>
<xref ref-type="aff" rid="A6">f</xref>
<xref ref-type="aff" rid="A7">g</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Porteous</surname>
<given-names>David J.</given-names>
</name>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A8">h</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wardlaw</surname>
<given-names>Joanna</given-names>
</name>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A5">e</xref>
<xref ref-type="aff" rid="A6">f</xref>
<xref ref-type="aff" rid="A7">g</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Deary</surname>
<given-names>Ian J</given-names>
</name>
<xref ref-type="aff" rid="A1">a</xref>
<xref ref-type="aff" rid="A2">b</xref>
</contrib>
</contrib-group>
<aff id="A1">
<label>a</label>
Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK</aff>
<aff id="A2">
<label>b</label>
Department of Psychology, University of Edinburgh, Edinburgh, UK</aff>
<aff id="A3">
<label>c</label>
Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK</aff>
<aff id="A4">
<label>d</label>
Queensland Brain Institute, The University of Queensland, Brisbane, Australia</aff>
<aff id="A5">
<label>e</label>
Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom</aff>
<aff id="A6">
<label>f</label>
Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom</aff>
<aff id="A7">
<label>g</label>
Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom</aff>
<aff id="A8">
<label>h</label>
Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK</aff>
<aff id="A9">
<label>i</label>
Inserm Research Center for Epidemiology and Biostatistics (U897) - Team Neuroepidemiology, Bordeaux, France</aff>
<aff id="A10">
<label>j</label>
University of Bordeaux, Bordeaux, France</aff>
<aff id="A11">
<label>k</label>
Cardiovascular Health Research Unit, University of Washington, Seattle, WA</aff>
<aff id="A12">
<label>l</label>
Department of Medicine, University of Washington, Seattle, WA</aff>
<aff id="A13">
<label>m</label>
Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA</aff>
<aff id="A14">
<label>n</label>
Department of Neurology, Bordeaux University Hospital, Bordeaux, France</aff>
<aff id="A15">
<label>o</label>
Department of Neurology and Center for Neuroscience, University of California at Davis, Davis, CA</aff>
<aff id="A16">
<label>p</label>
Brown Foundation Institute of Molecular Medicine, Division of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX</aff>
<aff id="A17">
<label>q</label>
Human Genetics Center, Division of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX</aff>
<aff id="A18">
<label>r</label>
Department of Neurology, Medical University Graz, Graz, Austria</aff>
<aff id="A19">
<label>s</label>
Departments of Epidemiology, Radiology and Neurology at Erasmus MC University Medical Center, Rotterdam, The Netherlands</aff>
<aff id="A20">
<label>t</label>
Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA</aff>
<aff id="A21">
<label>u</label>
Framingham Heart Study</aff>
<author-notes>
<corresp id="FN1">
<label>*</label>
Corresponding author:
<email>michelle.luciano@ed.ac.uk</email>
, Psychology, University of Edinburgh, 7 George Square, EH8 9JZ, UK</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted">
<day>5</day>
<month>2</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>02</day>
<month>10</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="ppub">
<month>12</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>09</day>
<month>2</month>
<year>2016</year>
</pub-date>
<volume>18</volume>
<issue>6</issue>
<fpage>738</fpage>
<lpage>745</lpage>
<pmc-comment>elocation-id from pubmed: 10.1017/thg.2015.71</pmc-comment>
<abstract>
<p id="P1">Structural brain magnetic resonance imaging (MRI) traits share part of their genetic variance with cognitive traits. Here, we use genetic association results from large meta-analytic studies of genome-wide association for brain infarcts, white matter hyperintensities, intracranial, hippocampal and total brain volumes to estimate polygenic scores for these traits in three Scottish samples: Generation Scotland: Scottish Family Health Study (GS:SFHS), and the Lothian Birth Cohorts of 1936 (LBC1936) and 1921 (LBC1921). These five brain MRI trait polygenic scores were then used to 1) predict corresponding MRI traits in the LBC1936 (numbers ranged 573 to 630 across traits) and 2) predict cognitive traits in all three cohorts (in 8,115 to 8,250 persons). In the LBC1936, all MRI phenotypic traits were correlated with at least one cognitive measure; and polygenic prediction of MRI traits was observed for intracranial volume. Meta-analysis of the correlations between MRI polygenic scores and cognitive traits revealed a significant negative correlation (maximal
<italic>r=</italic>
0.08) between the hippocampal volume polygenic score and measures of global cognitive ability collected in childhood and in old age in the Lothian Birth Cohorts. The lack of association to a related general cognitive measure when including the GS:SFHS points to either type 1 error or the importance of using prediction samples that closely match the demographics of the genome-wide association samples from which prediction is based. Ideally, these analyses should be repeated in larger samples with data on both MRI and cognition, and using MRI GWA results from even larger meta-analysis studies.</p>
</abstract>
<kwd-group>
<kwd>Polygenic prediction</kwd>
<kwd>white matter hyperintensities</kwd>
<kwd>brain infarct</kwd>
<kwd>intracranial volume</kwd>
<kwd>hippocampal volume</kwd>
<kwd>total brain volume</kwd>
<kwd>general cognitive ability</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

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