Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment

Genetic factors and socioeconomic status (SES) inequalities play a large role in educational attainment, and both have been associated with variations in brain structure and cognition. However, genetics and SES are correlated, and no prior study has assessed their neural associations independently....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Proceedings of the National Academy of Sciences - PNAS 2020-06, Vol.117 (22), p.12411-12418
Hauptverfasser: Judd, Nicholas, Sauce, Bruno, Wiedenhoeft, John, Tromp, Jeshua, Chaarani, Bader, Schliep, Alexander, van Noort, Betteke, Penttilä, Jani, Grimmer, Yvonne, Insensee, Corinna, Becker, Andreas, Banaschewski, Tobias, Bokde, Arun L. W., Quinlan, Erin Burke, Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Artiges, Eric, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Poustka, Luise, Hohmann, Sarah, Millenet, Sabina, Fröhner, Juliane H., Smolkaa, Michael N., Walter, Henrik, Whelanc, Robert, Schuman, Gunter, Garavan, Hugh, Klingberg, Torkel
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 12418
container_issue 22
container_start_page 12411
container_title Proceedings of the National Academy of Sciences - PNAS
container_volume 117
creator Judd, Nicholas
Sauce, Bruno
Wiedenhoeft, John
Tromp, Jeshua
Chaarani, Bader
Schliep, Alexander
van Noort, Betteke
Penttilä, Jani
Grimmer, Yvonne
Insensee, Corinna
Becker, Andreas
Banaschewski, Tobias
Bokde, Arun L. W.
Quinlan, Erin Burke
Desrivières, Sylvane
Flor, Herta
Grigis, Antoine
Gowland, Penny
Heinz, Andreas
Ittermann, Bernd
Martinot, Jean-Luc
Martinot, Marie-Laure Paillère
Artiges, Eric
Nees, Frauke
Orfanos, Dimitri Papadopoulos
Paus, Tomáš
Poustka, Luise
Hohmann, Sarah
Millenet, Sabina
Fröhner, Juliane H.
Smolkaa, Michael N.
Walter, Henrik
Whelanc, Robert
Schuman, Gunter
Garavan, Hugh
Klingberg, Torkel
description Genetic factors and socioeconomic status (SES) inequalities play a large role in educational attainment, and both have been associated with variations in brain structure and cognition. However, genetics and SES are correlated, and no prior study has assessed their neural associations independently. Here we used a polygenic score for educational attainment (EduYears-PGS), as well as SES, in a longitudinal study of 551 adolescents to tease apart genetic and environmental associations with brain development and cognition. Subjects received a structural MRI scan at ages 14 and 19. At both time points, they performed three working memory (WM) tasks. SES and EduYears-PGS were correlated (r = 0.27) and had both common and independent associations with brain structure and cognition. Specifically, lower SES was related to less total cortical surface area and lower WM. EduYears-PGS was also related to total cortical surface area, but in addition had a regional association with surface area in the right parietal lobe, a region related to nonverbal cognitive functions, including mathematics, spatial cognition, and WM. SES, but not EduYears-PGS, was related to a change in total cortical surface area from age 14 to 19. This study demonstrates a regional association of EduYears-PGS and the independent prediction of SES with cognitive function and brain development. It suggests that the SES inequalities, in particular parental education, are related to global aspects of cortical development, and exert a persistent influence on brain development during adolescence.
doi_str_mv 10.1073/pnas.2001228117
format Article
fullrecord <record><control><sourceid>jstor_swepu</sourceid><recordid>TN_cdi_swepub_primary_oai_swepub_ki_se_471155</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26931288</jstor_id><sourcerecordid>26931288</sourcerecordid><originalsourceid>FETCH-LOGICAL-c585t-342880e95443479feb7a7057e4853aef579e4fbb13b5533a34bbc5ae236b49083</originalsourceid><addsrcrecordid>eNp9kruP1DAQhy0E4paDmgoUiYYmd37GSYN0WvGSTqKB2nKcSfCS2MF2Fm3NP45zuywcBY0fM9_8xjMehJ4TfEWwZNez0_GKYkworQmRD9CG4IaUFW_wQ7TBmMqy5pRfoCcx7jDGjajxY3TBKGeYUbZBP7d-cDbZPRTadUUbtHVFB3sY_TyBS4WNhXUdzJAXl8ZDvvXjAs5Apg9F9MZ6MN75yZoiJp2WeKc0-_EwgFuNxgeIRe9DAd1idLLe6bHQKeVca46n6FGvxwjPTvsl-vLu7efth_L20_uP25vb0ohapJJxWtcYGsE547LpoZVaYiGB14Jp6IVsgPdtS1grBGOa8bY1QgNlVZv7UbNLVB514w-Yl1bNwU46HJTXVp1M3_IJFJeEZIn_8cMyq2walpWnDWc1zvybI5_hCTqTSwt6vBd23-PsVzX4vZJUCslYFnh9Egj--wIxqclGA-OoHfglKsqxYDjXLzP66h9055eQ-7pShFZcVHeC10fKBB9jgP78GILVOkBqHSD1Z4ByxMu_azjzvycmAy-OwC4mH85-WjWM5P9hvwDdUc_K</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2412645633</pqid></control><display><type>article</type><title>Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment</title><source>Jstor Complete Legacy</source><source>MEDLINE</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>SWEPUB Freely available online</source><source>Free Full-Text Journals in Chemistry</source><creator>Judd, Nicholas ; Sauce, Bruno ; Wiedenhoeft, John ; Tromp, Jeshua ; Chaarani, Bader ; Schliep, Alexander ; van Noort, Betteke ; Penttilä, Jani ; Grimmer, Yvonne ; Insensee, Corinna ; Becker, Andreas ; Banaschewski, Tobias ; Bokde, Arun L. W. ; Quinlan, Erin Burke ; Desrivières, Sylvane ; Flor, Herta ; Grigis, Antoine ; Gowland, Penny ; Heinz, Andreas ; Ittermann, Bernd ; Martinot, Jean-Luc ; Martinot, Marie-Laure Paillère ; Artiges, Eric ; Nees, Frauke ; Orfanos, Dimitri Papadopoulos ; Paus, Tomáš ; Poustka, Luise ; Hohmann, Sarah ; Millenet, Sabina ; Fröhner, Juliane H. ; Smolkaa, Michael N. ; Walter, Henrik ; Whelanc, Robert ; Schuman, Gunter ; Garavan, Hugh ; Klingberg, Torkel</creator><creatorcontrib>Judd, Nicholas ; Sauce, Bruno ; Wiedenhoeft, John ; Tromp, Jeshua ; Chaarani, Bader ; Schliep, Alexander ; van Noort, Betteke ; Penttilä, Jani ; Grimmer, Yvonne ; Insensee, Corinna ; Becker, Andreas ; Banaschewski, Tobias ; Bokde, Arun L. W. ; Quinlan, Erin Burke ; Desrivières, Sylvane ; Flor, Herta ; Grigis, Antoine ; Gowland, Penny ; Heinz, Andreas ; Ittermann, Bernd ; Martinot, Jean-Luc ; Martinot, Marie-Laure Paillère ; Artiges, Eric ; Nees, Frauke ; Orfanos, Dimitri Papadopoulos ; Paus, Tomáš ; Poustka, Luise ; Hohmann, Sarah ; Millenet, Sabina ; Fröhner, Juliane H. ; Smolkaa, Michael N. ; Walter, Henrik ; Whelanc, Robert ; Schuman, Gunter ; Garavan, Hugh ; Klingberg, Torkel</creatorcontrib><description>Genetic factors and socioeconomic status (SES) inequalities play a large role in educational attainment, and both have been associated with variations in brain structure and cognition. However, genetics and SES are correlated, and no prior study has assessed their neural associations independently. Here we used a polygenic score for educational attainment (EduYears-PGS), as well as SES, in a longitudinal study of 551 adolescents to tease apart genetic and environmental associations with brain development and cognition. Subjects received a structural MRI scan at ages 14 and 19. At both time points, they performed three working memory (WM) tasks. SES and EduYears-PGS were correlated (r = 0.27) and had both common and independent associations with brain structure and cognition. Specifically, lower SES was related to less total cortical surface area and lower WM. EduYears-PGS was also related to total cortical surface area, but in addition had a regional association with surface area in the right parietal lobe, a region related to nonverbal cognitive functions, including mathematics, spatial cognition, and WM. SES, but not EduYears-PGS, was related to a change in total cortical surface area from age 14 to 19. This study demonstrates a regional association of EduYears-PGS and the independent prediction of SES with cognitive function and brain development. It suggests that the SES inequalities, in particular parental education, are related to global aspects of cortical development, and exert a persistent influence on brain development during adolescence.</description><identifier>ISSN: 0027-8424</identifier><identifier>ISSN: 1091-6490</identifier><identifier>EISSN: 1091-6490</identifier><identifier>DOI: 10.1073/pnas.2001228117</identifier><identifier>PMID: 32430323</identifier><language>eng</language><publisher>United States: National Academy of Sciences</publisher><subject>Academic Success ; Adolescent ; Adolescents ; Adult ; association ; Biological Sciences ; Brain ; Brain - diagnostic imaging ; Brain - growth &amp; development ; Brain - physiology ; Cognition ; Cognition &amp; reasoning ; Cognitive ability ; common ; Correlation analysis ; cortex ; cortical thickness ; development ; Education ; Educational attainment ; Educational Status ; Environmental organizations ; family ; Female ; Functions (mathematics) ; Genetic factors ; Genetics ; Humans ; Inequalities ; intelligence ; Longitudinal Studies ; Magnetic Resonance Imaging ; Male ; Mathematical analysis ; matter volume ; Memory tasks ; Memory, Short-Term ; metaanalysis ; Multifactorial Inheritance ; Neurosciences ; Neurovetenskaper ; Parietal lobe ; polygenic scores ; Science &amp; Technology - Other Topics ; Short term memory ; Social Class ; Social Sciences ; Socioeconomic factors ; socioeconomic status ; Socioeconomics ; structural MRI ; Surface area ; trajectories ; working memory ; Young Adult</subject><ispartof>Proceedings of the National Academy of Sciences - PNAS, 2020-06, Vol.117 (22), p.12411-12418</ispartof><rights>Copyright National Academy of Sciences Jun 2, 2020</rights><rights>2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c585t-342880e95443479feb7a7057e4853aef579e4fbb13b5533a34bbc5ae236b49083</citedby><cites>FETCH-LOGICAL-c585t-342880e95443479feb7a7057e4853aef579e4fbb13b5533a34bbc5ae236b49083</cites><orcidid>0000-0002-9768-3383 ; 0000-0002-9544-0150 ; 0000-0001-5398-5569 ; 0000-0002-2790-7281 ; 0000-0002-3932-6273 ; 0000-0002-9403-6121 ; 0000-0003-4595-1144 ; 0000-0002-6935-1517 ; 0000-0002-1242-8990</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26931288$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26931288$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,550,723,776,780,799,881,27901,27902,53766,53768,57992,58225</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32430323$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://gup.ub.gu.se/publication/294380$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:143861408$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Judd, Nicholas</creatorcontrib><creatorcontrib>Sauce, Bruno</creatorcontrib><creatorcontrib>Wiedenhoeft, John</creatorcontrib><creatorcontrib>Tromp, Jeshua</creatorcontrib><creatorcontrib>Chaarani, Bader</creatorcontrib><creatorcontrib>Schliep, Alexander</creatorcontrib><creatorcontrib>van Noort, Betteke</creatorcontrib><creatorcontrib>Penttilä, Jani</creatorcontrib><creatorcontrib>Grimmer, Yvonne</creatorcontrib><creatorcontrib>Insensee, Corinna</creatorcontrib><creatorcontrib>Becker, Andreas</creatorcontrib><creatorcontrib>Banaschewski, Tobias</creatorcontrib><creatorcontrib>Bokde, Arun L. W.</creatorcontrib><creatorcontrib>Quinlan, Erin Burke</creatorcontrib><creatorcontrib>Desrivières, Sylvane</creatorcontrib><creatorcontrib>Flor, Herta</creatorcontrib><creatorcontrib>Grigis, Antoine</creatorcontrib><creatorcontrib>Gowland, Penny</creatorcontrib><creatorcontrib>Heinz, Andreas</creatorcontrib><creatorcontrib>Ittermann, Bernd</creatorcontrib><creatorcontrib>Martinot, Jean-Luc</creatorcontrib><creatorcontrib>Martinot, Marie-Laure Paillère</creatorcontrib><creatorcontrib>Artiges, Eric</creatorcontrib><creatorcontrib>Nees, Frauke</creatorcontrib><creatorcontrib>Orfanos, Dimitri Papadopoulos</creatorcontrib><creatorcontrib>Paus, Tomáš</creatorcontrib><creatorcontrib>Poustka, Luise</creatorcontrib><creatorcontrib>Hohmann, Sarah</creatorcontrib><creatorcontrib>Millenet, Sabina</creatorcontrib><creatorcontrib>Fröhner, Juliane H.</creatorcontrib><creatorcontrib>Smolkaa, Michael N.</creatorcontrib><creatorcontrib>Walter, Henrik</creatorcontrib><creatorcontrib>Whelanc, Robert</creatorcontrib><creatorcontrib>Schuman, Gunter</creatorcontrib><creatorcontrib>Garavan, Hugh</creatorcontrib><creatorcontrib>Klingberg, Torkel</creatorcontrib><title>Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment</title><title>Proceedings of the National Academy of Sciences - PNAS</title><addtitle>Proc Natl Acad Sci U S A</addtitle><description>Genetic factors and socioeconomic status (SES) inequalities play a large role in educational attainment, and both have been associated with variations in brain structure and cognition. However, genetics and SES are correlated, and no prior study has assessed their neural associations independently. Here we used a polygenic score for educational attainment (EduYears-PGS), as well as SES, in a longitudinal study of 551 adolescents to tease apart genetic and environmental associations with brain development and cognition. Subjects received a structural MRI scan at ages 14 and 19. At both time points, they performed three working memory (WM) tasks. SES and EduYears-PGS were correlated (r = 0.27) and had both common and independent associations with brain structure and cognition. Specifically, lower SES was related to less total cortical surface area and lower WM. EduYears-PGS was also related to total cortical surface area, but in addition had a regional association with surface area in the right parietal lobe, a region related to nonverbal cognitive functions, including mathematics, spatial cognition, and WM. SES, but not EduYears-PGS, was related to a change in total cortical surface area from age 14 to 19. This study demonstrates a regional association of EduYears-PGS and the independent prediction of SES with cognitive function and brain development. It suggests that the SES inequalities, in particular parental education, are related to global aspects of cortical development, and exert a persistent influence on brain development during adolescence.</description><subject>Academic Success</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Adult</subject><subject>association</subject><subject>Biological Sciences</subject><subject>Brain</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - growth &amp; development</subject><subject>Brain - physiology</subject><subject>Cognition</subject><subject>Cognition &amp; reasoning</subject><subject>Cognitive ability</subject><subject>common</subject><subject>Correlation analysis</subject><subject>cortex</subject><subject>cortical thickness</subject><subject>development</subject><subject>Education</subject><subject>Educational attainment</subject><subject>Educational Status</subject><subject>Environmental organizations</subject><subject>family</subject><subject>Female</subject><subject>Functions (mathematics)</subject><subject>Genetic factors</subject><subject>Genetics</subject><subject>Humans</subject><subject>Inequalities</subject><subject>intelligence</subject><subject>Longitudinal Studies</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Mathematical analysis</subject><subject>matter volume</subject><subject>Memory tasks</subject><subject>Memory, Short-Term</subject><subject>metaanalysis</subject><subject>Multifactorial Inheritance</subject><subject>Neurosciences</subject><subject>Neurovetenskaper</subject><subject>Parietal lobe</subject><subject>polygenic scores</subject><subject>Science &amp; Technology - Other Topics</subject><subject>Short term memory</subject><subject>Social Class</subject><subject>Social Sciences</subject><subject>Socioeconomic factors</subject><subject>socioeconomic status</subject><subject>Socioeconomics</subject><subject>structural MRI</subject><subject>Surface area</subject><subject>trajectories</subject><subject>working memory</subject><subject>Young Adult</subject><issn>0027-8424</issn><issn>1091-6490</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>D8T</sourceid><recordid>eNp9kruP1DAQhy0E4paDmgoUiYYmd37GSYN0WvGSTqKB2nKcSfCS2MF2Fm3NP45zuywcBY0fM9_8xjMehJ4TfEWwZNez0_GKYkworQmRD9CG4IaUFW_wQ7TBmMqy5pRfoCcx7jDGjajxY3TBKGeYUbZBP7d-cDbZPRTadUUbtHVFB3sY_TyBS4WNhXUdzJAXl8ZDvvXjAs5Apg9F9MZ6MN75yZoiJp2WeKc0-_EwgFuNxgeIRe9DAd1idLLe6bHQKeVca46n6FGvxwjPTvsl-vLu7efth_L20_uP25vb0ohapJJxWtcYGsE547LpoZVaYiGB14Jp6IVsgPdtS1grBGOa8bY1QgNlVZv7UbNLVB514w-Yl1bNwU46HJTXVp1M3_IJFJeEZIn_8cMyq2walpWnDWc1zvybI5_hCTqTSwt6vBd23-PsVzX4vZJUCslYFnh9Egj--wIxqclGA-OoHfglKsqxYDjXLzP66h9055eQ-7pShFZcVHeC10fKBB9jgP78GILVOkBqHSD1Z4ByxMu_azjzvycmAy-OwC4mH85-WjWM5P9hvwDdUc_K</recordid><startdate>20200602</startdate><enddate>20200602</enddate><creator>Judd, Nicholas</creator><creator>Sauce, Bruno</creator><creator>Wiedenhoeft, John</creator><creator>Tromp, Jeshua</creator><creator>Chaarani, Bader</creator><creator>Schliep, Alexander</creator><creator>van Noort, Betteke</creator><creator>Penttilä, Jani</creator><creator>Grimmer, Yvonne</creator><creator>Insensee, Corinna</creator><creator>Becker, Andreas</creator><creator>Banaschewski, Tobias</creator><creator>Bokde, Arun L. W.</creator><creator>Quinlan, Erin Burke</creator><creator>Desrivières, Sylvane</creator><creator>Flor, Herta</creator><creator>Grigis, Antoine</creator><creator>Gowland, Penny</creator><creator>Heinz, Andreas</creator><creator>Ittermann, Bernd</creator><creator>Martinot, Jean-Luc</creator><creator>Martinot, Marie-Laure Paillère</creator><creator>Artiges, Eric</creator><creator>Nees, Frauke</creator><creator>Orfanos, Dimitri Papadopoulos</creator><creator>Paus, Tomáš</creator><creator>Poustka, Luise</creator><creator>Hohmann, Sarah</creator><creator>Millenet, Sabina</creator><creator>Fröhner, Juliane H.</creator><creator>Smolkaa, Michael N.</creator><creator>Walter, Henrik</creator><creator>Whelanc, Robert</creator><creator>Schuman, Gunter</creator><creator>Garavan, Hugh</creator><creator>Klingberg, Torkel</creator><general>National Academy of Sciences</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>F1U</scope><scope>D8T</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0002-9768-3383</orcidid><orcidid>https://orcid.org/0000-0002-9544-0150</orcidid><orcidid>https://orcid.org/0000-0001-5398-5569</orcidid><orcidid>https://orcid.org/0000-0002-2790-7281</orcidid><orcidid>https://orcid.org/0000-0002-3932-6273</orcidid><orcidid>https://orcid.org/0000-0002-9403-6121</orcidid><orcidid>https://orcid.org/0000-0003-4595-1144</orcidid><orcidid>https://orcid.org/0000-0002-6935-1517</orcidid><orcidid>https://orcid.org/0000-0002-1242-8990</orcidid></search><sort><creationdate>20200602</creationdate><title>Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment</title><author>Judd, Nicholas ; Sauce, Bruno ; Wiedenhoeft, John ; Tromp, Jeshua ; Chaarani, Bader ; Schliep, Alexander ; van Noort, Betteke ; Penttilä, Jani ; Grimmer, Yvonne ; Insensee, Corinna ; Becker, Andreas ; Banaschewski, Tobias ; Bokde, Arun L. W. ; Quinlan, Erin Burke ; Desrivières, Sylvane ; Flor, Herta ; Grigis, Antoine ; Gowland, Penny ; Heinz, Andreas ; Ittermann, Bernd ; Martinot, Jean-Luc ; Martinot, Marie-Laure Paillère ; Artiges, Eric ; Nees, Frauke ; Orfanos, Dimitri Papadopoulos ; Paus, Tomáš ; Poustka, Luise ; Hohmann, Sarah ; Millenet, Sabina ; Fröhner, Juliane H. ; Smolkaa, Michael N. ; Walter, Henrik ; Whelanc, Robert ; Schuman, Gunter ; Garavan, Hugh ; Klingberg, Torkel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c585t-342880e95443479feb7a7057e4853aef579e4fbb13b5533a34bbc5ae236b49083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Academic Success</topic><topic>Adolescent</topic><topic>Adolescents</topic><topic>Adult</topic><topic>association</topic><topic>Biological Sciences</topic><topic>Brain</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - growth &amp; development</topic><topic>Brain - physiology</topic><topic>Cognition</topic><topic>Cognition &amp; reasoning</topic><topic>Cognitive ability</topic><topic>common</topic><topic>Correlation analysis</topic><topic>cortex</topic><topic>cortical thickness</topic><topic>development</topic><topic>Education</topic><topic>Educational attainment</topic><topic>Educational Status</topic><topic>Environmental organizations</topic><topic>family</topic><topic>Female</topic><topic>Functions (mathematics)</topic><topic>Genetic factors</topic><topic>Genetics</topic><topic>Humans</topic><topic>Inequalities</topic><topic>intelligence</topic><topic>Longitudinal Studies</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Mathematical analysis</topic><topic>matter volume</topic><topic>Memory tasks</topic><topic>Memory, Short-Term</topic><topic>metaanalysis</topic><topic>Multifactorial Inheritance</topic><topic>Neurosciences</topic><topic>Neurovetenskaper</topic><topic>Parietal lobe</topic><topic>polygenic scores</topic><topic>Science &amp; Technology - Other Topics</topic><topic>Short term memory</topic><topic>Social Class</topic><topic>Social Sciences</topic><topic>Socioeconomic factors</topic><topic>socioeconomic status</topic><topic>Socioeconomics</topic><topic>structural MRI</topic><topic>Surface area</topic><topic>trajectories</topic><topic>working memory</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Judd, Nicholas</creatorcontrib><creatorcontrib>Sauce, Bruno</creatorcontrib><creatorcontrib>Wiedenhoeft, John</creatorcontrib><creatorcontrib>Tromp, Jeshua</creatorcontrib><creatorcontrib>Chaarani, Bader</creatorcontrib><creatorcontrib>Schliep, Alexander</creatorcontrib><creatorcontrib>van Noort, Betteke</creatorcontrib><creatorcontrib>Penttilä, Jani</creatorcontrib><creatorcontrib>Grimmer, Yvonne</creatorcontrib><creatorcontrib>Insensee, Corinna</creatorcontrib><creatorcontrib>Becker, Andreas</creatorcontrib><creatorcontrib>Banaschewski, Tobias</creatorcontrib><creatorcontrib>Bokde, Arun L. W.</creatorcontrib><creatorcontrib>Quinlan, Erin Burke</creatorcontrib><creatorcontrib>Desrivières, Sylvane</creatorcontrib><creatorcontrib>Flor, Herta</creatorcontrib><creatorcontrib>Grigis, Antoine</creatorcontrib><creatorcontrib>Gowland, Penny</creatorcontrib><creatorcontrib>Heinz, Andreas</creatorcontrib><creatorcontrib>Ittermann, Bernd</creatorcontrib><creatorcontrib>Martinot, Jean-Luc</creatorcontrib><creatorcontrib>Martinot, Marie-Laure Paillère</creatorcontrib><creatorcontrib>Artiges, Eric</creatorcontrib><creatorcontrib>Nees, Frauke</creatorcontrib><creatorcontrib>Orfanos, Dimitri Papadopoulos</creatorcontrib><creatorcontrib>Paus, Tomáš</creatorcontrib><creatorcontrib>Poustka, Luise</creatorcontrib><creatorcontrib>Hohmann, Sarah</creatorcontrib><creatorcontrib>Millenet, Sabina</creatorcontrib><creatorcontrib>Fröhner, Juliane H.</creatorcontrib><creatorcontrib>Smolkaa, Michael N.</creatorcontrib><creatorcontrib>Walter, Henrik</creatorcontrib><creatorcontrib>Whelanc, Robert</creatorcontrib><creatorcontrib>Schuman, Gunter</creatorcontrib><creatorcontrib>Garavan, Hugh</creatorcontrib><creatorcontrib>Klingberg, Torkel</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Göteborgs universitet</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Judd, Nicholas</au><au>Sauce, Bruno</au><au>Wiedenhoeft, John</au><au>Tromp, Jeshua</au><au>Chaarani, Bader</au><au>Schliep, Alexander</au><au>van Noort, Betteke</au><au>Penttilä, Jani</au><au>Grimmer, Yvonne</au><au>Insensee, Corinna</au><au>Becker, Andreas</au><au>Banaschewski, Tobias</au><au>Bokde, Arun L. W.</au><au>Quinlan, Erin Burke</au><au>Desrivières, Sylvane</au><au>Flor, Herta</au><au>Grigis, Antoine</au><au>Gowland, Penny</au><au>Heinz, Andreas</au><au>Ittermann, Bernd</au><au>Martinot, Jean-Luc</au><au>Martinot, Marie-Laure Paillère</au><au>Artiges, Eric</au><au>Nees, Frauke</au><au>Orfanos, Dimitri Papadopoulos</au><au>Paus, Tomáš</au><au>Poustka, Luise</au><au>Hohmann, Sarah</au><au>Millenet, Sabina</au><au>Fröhner, Juliane H.</au><au>Smolkaa, Michael N.</au><au>Walter, Henrik</au><au>Whelanc, Robert</au><au>Schuman, Gunter</au><au>Garavan, Hugh</au><au>Klingberg, Torkel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment</atitle><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle><addtitle>Proc Natl Acad Sci U S A</addtitle><date>2020-06-02</date><risdate>2020</risdate><volume>117</volume><issue>22</issue><spage>12411</spage><epage>12418</epage><pages>12411-12418</pages><issn>0027-8424</issn><issn>1091-6490</issn><eissn>1091-6490</eissn><abstract>Genetic factors and socioeconomic status (SES) inequalities play a large role in educational attainment, and both have been associated with variations in brain structure and cognition. However, genetics and SES are correlated, and no prior study has assessed their neural associations independently. Here we used a polygenic score for educational attainment (EduYears-PGS), as well as SES, in a longitudinal study of 551 adolescents to tease apart genetic and environmental associations with brain development and cognition. Subjects received a structural MRI scan at ages 14 and 19. At both time points, they performed three working memory (WM) tasks. SES and EduYears-PGS were correlated (r = 0.27) and had both common and independent associations with brain structure and cognition. Specifically, lower SES was related to less total cortical surface area and lower WM. EduYears-PGS was also related to total cortical surface area, but in addition had a regional association with surface area in the right parietal lobe, a region related to nonverbal cognitive functions, including mathematics, spatial cognition, and WM. SES, but not EduYears-PGS, was related to a change in total cortical surface area from age 14 to 19. This study demonstrates a regional association of EduYears-PGS and the independent prediction of SES with cognitive function and brain development. It suggests that the SES inequalities, in particular parental education, are related to global aspects of cortical development, and exert a persistent influence on brain development during adolescence.</abstract><cop>United States</cop><pub>National Academy of Sciences</pub><pmid>32430323</pmid><doi>10.1073/pnas.2001228117</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-9768-3383</orcidid><orcidid>https://orcid.org/0000-0002-9544-0150</orcidid><orcidid>https://orcid.org/0000-0001-5398-5569</orcidid><orcidid>https://orcid.org/0000-0002-2790-7281</orcidid><orcidid>https://orcid.org/0000-0002-3932-6273</orcidid><orcidid>https://orcid.org/0000-0002-9403-6121</orcidid><orcidid>https://orcid.org/0000-0003-4595-1144</orcidid><orcidid>https://orcid.org/0000-0002-6935-1517</orcidid><orcidid>https://orcid.org/0000-0002-1242-8990</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0027-8424
ispartof Proceedings of the National Academy of Sciences - PNAS, 2020-06, Vol.117 (22), p.12411-12418
issn 0027-8424
1091-6490
1091-6490
language eng
recordid cdi_swepub_primary_oai_swepub_ki_se_471155
source Jstor Complete Legacy; MEDLINE; PubMed Central; Alma/SFX Local Collection; SWEPUB Freely available online; Free Full-Text Journals in Chemistry
subjects Academic Success
Adolescent
Adolescents
Adult
association
Biological Sciences
Brain
Brain - diagnostic imaging
Brain - growth & development
Brain - physiology
Cognition
Cognition & reasoning
Cognitive ability
common
Correlation analysis
cortex
cortical thickness
development
Education
Educational attainment
Educational Status
Environmental organizations
family
Female
Functions (mathematics)
Genetic factors
Genetics
Humans
Inequalities
intelligence
Longitudinal Studies
Magnetic Resonance Imaging
Male
Mathematical analysis
matter volume
Memory tasks
Memory, Short-Term
metaanalysis
Multifactorial Inheritance
Neurosciences
Neurovetenskaper
Parietal lobe
polygenic scores
Science & Technology - Other Topics
Short term memory
Social Class
Social Sciences
Socioeconomic factors
socioeconomic status
Socioeconomics
structural MRI
Surface area
trajectories
working memory
Young Adult
title Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T04%3A15%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cognitive%20and%20brain%20development%20is%20independently%20influenced%20by%20socioeconomic%20status%20and%20polygenic%20scores%20for%20educational%20attainment&rft.jtitle=Proceedings%20of%20the%20National%20Academy%20of%20Sciences%20-%20PNAS&rft.au=Judd,%20Nicholas&rft.date=2020-06-02&rft.volume=117&rft.issue=22&rft.spage=12411&rft.epage=12418&rft.pages=12411-12418&rft.issn=0027-8424&rft.eissn=1091-6490&rft_id=info:doi/10.1073/pnas.2001228117&rft_dat=%3Cjstor_swepu%3E26931288%3C/jstor_swepu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2412645633&rft_id=info:pmid/32430323&rft_jstor_id=26931288&rfr_iscdi=true