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Cortical Surfaces Mediate the Relationship Between Polygenic Scores for Intelligence and General Intelligence

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Cortical Surfaces Mediate the Relationship Between Polygenic Scores for Intelligence and General Intelligence. / Lett, Tristram A; Vogel, Bob O; Ripke, Stephan; Wackerhagen, Carolin; Erk, Susanne; Awasthi, Swapnil; Trubetskoy, Vassily; Brandl, Eva J; Mohnke, Sebastian; Veer, Ilya M; Nöthen, Markus M; Rietschel, Marcella; Degenhardt, Franziska; Romanczuk-Seiferth, Nina; Witt, Stephanie H; Banaschewski, Tobias; Bokde, Arun L W; Büchel, Christian; Quinlan, Erin B; Desrivières, Sylvane; Flor, Herta; Frouin, Vincent; Garavan, Hugh; Gowland, Penny; Ittermann, Bernd; Martinot, Jean-Luc; Martinot, Marie-Laure Paillère; Nees, Frauke; Papadopoulos-Orfanos, Dimitri; Paus, Tomáš; Poustka, Luise; Fröhner, Juliane H; Smolka, Michael N; Whelan, Robert; Schumann, Gunter; Tost, Heike; Meyer-Lindenberg, Andreas; Heinz, Andreas; Walter, Henrik; IMAGEN Consortium.

in: CEREB CORTEX, Jahrgang 30, Nr. 4, 14.04.2020, S. 2707-2718.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Lett, TA, Vogel, BO, Ripke, S, Wackerhagen, C, Erk, S, Awasthi, S, Trubetskoy, V, Brandl, EJ, Mohnke, S, Veer, IM, Nöthen, MM, Rietschel, M, Degenhardt, F, Romanczuk-Seiferth, N, Witt, SH, Banaschewski, T, Bokde, ALW, Büchel, C, Quinlan, EB, Desrivières, S, Flor, H, Frouin, V, Garavan, H, Gowland, P, Ittermann, B, Martinot, J-L, Martinot, M-LP, Nees, F, Papadopoulos-Orfanos, D, Paus, T, Poustka, L, Fröhner, JH, Smolka, MN, Whelan, R, Schumann, G, Tost, H, Meyer-Lindenberg, A, Heinz, A, Walter, H & IMAGEN Consortium 2020, 'Cortical Surfaces Mediate the Relationship Between Polygenic Scores for Intelligence and General Intelligence', CEREB CORTEX, Jg. 30, Nr. 4, S. 2707-2718. https://doi.org/10.1093/cercor/bhz270

APA

Lett, T. A., Vogel, B. O., Ripke, S., Wackerhagen, C., Erk, S., Awasthi, S., Trubetskoy, V., Brandl, E. J., Mohnke, S., Veer, I. M., Nöthen, M. M., Rietschel, M., Degenhardt, F., Romanczuk-Seiferth, N., Witt, S. H., Banaschewski, T., Bokde, A. L. W., Büchel, C., Quinlan, E. B., ... IMAGEN Consortium (2020). Cortical Surfaces Mediate the Relationship Between Polygenic Scores for Intelligence and General Intelligence. CEREB CORTEX, 30(4), 2707-2718. https://doi.org/10.1093/cercor/bhz270

Vancouver

Lett TA, Vogel BO, Ripke S, Wackerhagen C, Erk S, Awasthi S et al. Cortical Surfaces Mediate the Relationship Between Polygenic Scores for Intelligence and General Intelligence. CEREB CORTEX. 2020 Apr 14;30(4):2707-2718. https://doi.org/10.1093/cercor/bhz270

Bibtex

@article{67c9ea1bf8474a96952765b4f0a032fe,
title = "Cortical Surfaces Mediate the Relationship Between Polygenic Scores for Intelligence and General Intelligence",
abstract = "Recent large-scale, genome-wide association studies (GWAS) have identified hundreds of genetic loci associated with general intelligence. The cumulative influence of these loci on brain structure is unknown. We examined if cortical morphology mediates the relationship between GWAS-derived polygenic scores for intelligence (PSi) and g-factor. Using the effect sizes from one of the largest GWAS meta-analysis on general intelligence to date, PSi were calculated among 10 P value thresholds. PSi were assessed for the association with g-factor performance, cortical thickness (CT), and surface area (SA) in two large imaging-genetics samples (IMAGEN N = 1651; IntegraMooDS N = 742). PSi explained up to 5.1% of the variance of g-factor in IMAGEN (F1,1640 = 12.2-94.3; P < 0.005), and up to 3.0% in IntegraMooDS (F1,725 = 10.0-21.0; P < 0.005). The association between polygenic scores and g-factor was partially mediated by SA and CT in prefrontal, anterior cingulate, insula, and medial temporal cortices in both samples (PFWER-corrected < 0.005). The variance explained by mediation was up to 0.75% in IMAGEN and 0.77% in IntegraMooDS. Our results provide evidence that cumulative genetic load influences g-factor via cortical structure. The consistency of our results across samples suggests that cortex morphology could be a novel potential biomarker for neurocognitive dysfunction that is among the most intractable psychiatric symptoms.",
author = "Lett, {Tristram A} and Vogel, {Bob O} and Stephan Ripke and Carolin Wackerhagen and Susanne Erk and Swapnil Awasthi and Vassily Trubetskoy and Brandl, {Eva J} and Sebastian Mohnke and Veer, {Ilya M} and N{\"o}then, {Markus M} and Marcella Rietschel and Franziska Degenhardt and Nina Romanczuk-Seiferth and Witt, {Stephanie H} and Tobias Banaschewski and Bokde, {Arun L W} and Christian B{\"u}chel and Quinlan, {Erin B} and Sylvane Desrivi{\`e}res and Herta Flor and Vincent Frouin and Hugh Garavan and Penny Gowland and Bernd Ittermann and Jean-Luc Martinot and Martinot, {Marie-Laure Paill{\`e}re} and Frauke Nees and Dimitri Papadopoulos-Orfanos and Tom{\'a}{\v s} Paus and Luise Poustka and Fr{\"o}hner, {Juliane H} and Smolka, {Michael N} and Robert Whelan and Gunter Schumann and Heike Tost and Andreas Meyer-Lindenberg and Andreas Heinz and Henrik Walter and {IMAGEN Consortium}",
note = "{\textcopyright} The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.",
year = "2020",
month = apr,
day = "14",
doi = "10.1093/cercor/bhz270",
language = "English",
volume = "30",
pages = "2707--2718",
journal = "CEREB CORTEX",
issn = "1047-3211",
publisher = "Oxford University Press",
number = "4",

}

RIS

TY - JOUR

T1 - Cortical Surfaces Mediate the Relationship Between Polygenic Scores for Intelligence and General Intelligence

AU - Lett, Tristram A

AU - Vogel, Bob O

AU - Ripke, Stephan

AU - Wackerhagen, Carolin

AU - Erk, Susanne

AU - Awasthi, Swapnil

AU - Trubetskoy, Vassily

AU - Brandl, Eva J

AU - Mohnke, Sebastian

AU - Veer, Ilya M

AU - Nöthen, Markus M

AU - Rietschel, Marcella

AU - Degenhardt, Franziska

AU - Romanczuk-Seiferth, Nina

AU - Witt, Stephanie H

AU - Banaschewski, Tobias

AU - Bokde, Arun L W

AU - Büchel, Christian

AU - Quinlan, Erin B

AU - Desrivières, Sylvane

AU - Flor, Herta

AU - Frouin, Vincent

AU - Garavan, Hugh

AU - Gowland, Penny

AU - Ittermann, Bernd

AU - Martinot, Jean-Luc

AU - Martinot, Marie-Laure Paillère

AU - Nees, Frauke

AU - Papadopoulos-Orfanos, Dimitri

AU - Paus, Tomáš

AU - Poustka, Luise

AU - Fröhner, Juliane H

AU - Smolka, Michael N

AU - Whelan, Robert

AU - Schumann, Gunter

AU - Tost, Heike

AU - Meyer-Lindenberg, Andreas

AU - Heinz, Andreas

AU - Walter, Henrik

AU - IMAGEN Consortium

N1 - © The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.

PY - 2020/4/14

Y1 - 2020/4/14

N2 - Recent large-scale, genome-wide association studies (GWAS) have identified hundreds of genetic loci associated with general intelligence. The cumulative influence of these loci on brain structure is unknown. We examined if cortical morphology mediates the relationship between GWAS-derived polygenic scores for intelligence (PSi) and g-factor. Using the effect sizes from one of the largest GWAS meta-analysis on general intelligence to date, PSi were calculated among 10 P value thresholds. PSi were assessed for the association with g-factor performance, cortical thickness (CT), and surface area (SA) in two large imaging-genetics samples (IMAGEN N = 1651; IntegraMooDS N = 742). PSi explained up to 5.1% of the variance of g-factor in IMAGEN (F1,1640 = 12.2-94.3; P < 0.005), and up to 3.0% in IntegraMooDS (F1,725 = 10.0-21.0; P < 0.005). The association between polygenic scores and g-factor was partially mediated by SA and CT in prefrontal, anterior cingulate, insula, and medial temporal cortices in both samples (PFWER-corrected < 0.005). The variance explained by mediation was up to 0.75% in IMAGEN and 0.77% in IntegraMooDS. Our results provide evidence that cumulative genetic load influences g-factor via cortical structure. The consistency of our results across samples suggests that cortex morphology could be a novel potential biomarker for neurocognitive dysfunction that is among the most intractable psychiatric symptoms.

AB - Recent large-scale, genome-wide association studies (GWAS) have identified hundreds of genetic loci associated with general intelligence. The cumulative influence of these loci on brain structure is unknown. We examined if cortical morphology mediates the relationship between GWAS-derived polygenic scores for intelligence (PSi) and g-factor. Using the effect sizes from one of the largest GWAS meta-analysis on general intelligence to date, PSi were calculated among 10 P value thresholds. PSi were assessed for the association with g-factor performance, cortical thickness (CT), and surface area (SA) in two large imaging-genetics samples (IMAGEN N = 1651; IntegraMooDS N = 742). PSi explained up to 5.1% of the variance of g-factor in IMAGEN (F1,1640 = 12.2-94.3; P < 0.005), and up to 3.0% in IntegraMooDS (F1,725 = 10.0-21.0; P < 0.005). The association between polygenic scores and g-factor was partially mediated by SA and CT in prefrontal, anterior cingulate, insula, and medial temporal cortices in both samples (PFWER-corrected < 0.005). The variance explained by mediation was up to 0.75% in IMAGEN and 0.77% in IntegraMooDS. Our results provide evidence that cumulative genetic load influences g-factor via cortical structure. The consistency of our results across samples suggests that cortex morphology could be a novel potential biomarker for neurocognitive dysfunction that is among the most intractable psychiatric symptoms.

U2 - 10.1093/cercor/bhz270

DO - 10.1093/cercor/bhz270

M3 - SCORING: Journal article

C2 - 31828294

VL - 30

SP - 2707

EP - 2718

JO - CEREB CORTEX

JF - CEREB CORTEX

SN - 1047-3211

IS - 4

ER -