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The genetic relationship between educational attainment and cognitive performance in major psychiatric disorders
Cognitive deficits are a core feature of psychiatric disorders like schizophrenia and bipolar disorder. Evidence supports a genome-wide polygenic score (GPS) for educational attainment (GPS(EDU)) can be used to explain variability in cognitive performance. We aimed to identify different cognitive do...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6713703/ https://www.ncbi.nlm.nih.gov/pubmed/31462630 http://dx.doi.org/10.1038/s41398-019-0547-x |
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author | Comes, Ashley L. Senner, Fanny Budde, Monika Adorjan, Kristina Anderson-Schmidt, Heike Andlauer, Till F. M. Gade, Katrin Hake, Maria Heilbronner, Urs Kalman, Janos L. Reich-Erkelenz, Daniela Klöhn-Saghatolislam, Farah Schaupp, Sabrina K. Schulte, Eva C. Juckel, Georg Dannlowski, Udo Schmauß, Max Zimmermann, Jörg Reimer, Jens Reininghaus, Eva Anghelescu, Ion‐George Arolt, Volker Baune, Bernhard T. Konrad, Carsten Thiel, Andreas Fallgatter, Andreas J. Nieratschker, Vanessa Figge, Christian von Hagen, Martin Koller, Manfred Becker, Thomas Wigand, Moritz E. Jäger, Markus Dietrich, Detlef E. Stierl, Sebastian Scherk, Harald Spitzer, Carsten Folkerts, Here Witt, Stephanie H. Degenhardt, Franziska Forstner, Andreas J. Rietschel, Marcella Nöthen, Markus M. Wiltfang, Jens Falkai, Peter Schulze, Thomas G. Papiol, Sergi |
author_facet | Comes, Ashley L. Senner, Fanny Budde, Monika Adorjan, Kristina Anderson-Schmidt, Heike Andlauer, Till F. M. Gade, Katrin Hake, Maria Heilbronner, Urs Kalman, Janos L. Reich-Erkelenz, Daniela Klöhn-Saghatolislam, Farah Schaupp, Sabrina K. Schulte, Eva C. Juckel, Georg Dannlowski, Udo Schmauß, Max Zimmermann, Jörg Reimer, Jens Reininghaus, Eva Anghelescu, Ion‐George Arolt, Volker Baune, Bernhard T. Konrad, Carsten Thiel, Andreas Fallgatter, Andreas J. Nieratschker, Vanessa Figge, Christian von Hagen, Martin Koller, Manfred Becker, Thomas Wigand, Moritz E. Jäger, Markus Dietrich, Detlef E. Stierl, Sebastian Scherk, Harald Spitzer, Carsten Folkerts, Here Witt, Stephanie H. Degenhardt, Franziska Forstner, Andreas J. Rietschel, Marcella Nöthen, Markus M. Wiltfang, Jens Falkai, Peter Schulze, Thomas G. Papiol, Sergi |
author_sort | Comes, Ashley L. |
collection | PubMed |
description | Cognitive deficits are a core feature of psychiatric disorders like schizophrenia and bipolar disorder. Evidence supports a genome-wide polygenic score (GPS) for educational attainment (GPS(EDU)) can be used to explain variability in cognitive performance. We aimed to identify different cognitive domains associated with GPS(EDU) in a transdiagnostic clinical cohort of chronic psychiatric patients with known cognitive deficits. Bipolar and schizophrenia patients from the PsyCourse cohort (N = 730; 43% female) were used. Likewise, we tested whether GPSs for schizophrenia (GPS(SZ)) and bipolar disorder (GPS(BD)) were associated with cognitive outcomes. GPS(EDU) explained 1.5% of variance in the backward verbal digit span, 1.9% in the number of correctly recalled words of the Verbal Learning and Memory Test, and 1.1% in crystallized intelligence. These effects were robust to the influences of treatment and diagnosis. No significant associations between GPS(SZ) or GPS(BD) with cognitive outcomes were found. Furthermore, these risk scores did not confound the effect of GPS(EDU) on cognitive outcomes. GPS(EDU) explains a small fraction of cognitive performance in adults with psychiatric disorders, specifically for domains related to linguistic learning and working memory. Investigating such a proxy-phenotype longitudinally, could give intriguing insight into the disease course, highlighting at what time genes play a more influential role on cognitive performance. Better understanding the origin of these deficits might help identify those patients at risk for lower levels of functioning and poor social outcomes. Polygenic estimates may in the future be part of predictive models for more personalized interventions. |
format | Online Article Text |
id | pubmed-6713703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67137032019-09-03 The genetic relationship between educational attainment and cognitive performance in major psychiatric disorders Comes, Ashley L. Senner, Fanny Budde, Monika Adorjan, Kristina Anderson-Schmidt, Heike Andlauer, Till F. M. Gade, Katrin Hake, Maria Heilbronner, Urs Kalman, Janos L. Reich-Erkelenz, Daniela Klöhn-Saghatolislam, Farah Schaupp, Sabrina K. Schulte, Eva C. Juckel, Georg Dannlowski, Udo Schmauß, Max Zimmermann, Jörg Reimer, Jens Reininghaus, Eva Anghelescu, Ion‐George Arolt, Volker Baune, Bernhard T. Konrad, Carsten Thiel, Andreas Fallgatter, Andreas J. Nieratschker, Vanessa Figge, Christian von Hagen, Martin Koller, Manfred Becker, Thomas Wigand, Moritz E. Jäger, Markus Dietrich, Detlef E. Stierl, Sebastian Scherk, Harald Spitzer, Carsten Folkerts, Here Witt, Stephanie H. Degenhardt, Franziska Forstner, Andreas J. Rietschel, Marcella Nöthen, Markus M. Wiltfang, Jens Falkai, Peter Schulze, Thomas G. Papiol, Sergi Transl Psychiatry Article Cognitive deficits are a core feature of psychiatric disorders like schizophrenia and bipolar disorder. Evidence supports a genome-wide polygenic score (GPS) for educational attainment (GPS(EDU)) can be used to explain variability in cognitive performance. We aimed to identify different cognitive domains associated with GPS(EDU) in a transdiagnostic clinical cohort of chronic psychiatric patients with known cognitive deficits. Bipolar and schizophrenia patients from the PsyCourse cohort (N = 730; 43% female) were used. Likewise, we tested whether GPSs for schizophrenia (GPS(SZ)) and bipolar disorder (GPS(BD)) were associated with cognitive outcomes. GPS(EDU) explained 1.5% of variance in the backward verbal digit span, 1.9% in the number of correctly recalled words of the Verbal Learning and Memory Test, and 1.1% in crystallized intelligence. These effects were robust to the influences of treatment and diagnosis. No significant associations between GPS(SZ) or GPS(BD) with cognitive outcomes were found. Furthermore, these risk scores did not confound the effect of GPS(EDU) on cognitive outcomes. GPS(EDU) explains a small fraction of cognitive performance in adults with psychiatric disorders, specifically for domains related to linguistic learning and working memory. Investigating such a proxy-phenotype longitudinally, could give intriguing insight into the disease course, highlighting at what time genes play a more influential role on cognitive performance. Better understanding the origin of these deficits might help identify those patients at risk for lower levels of functioning and poor social outcomes. Polygenic estimates may in the future be part of predictive models for more personalized interventions. Nature Publishing Group UK 2019-08-28 /pmc/articles/PMC6713703/ /pubmed/31462630 http://dx.doi.org/10.1038/s41398-019-0547-x Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Comes, Ashley L. Senner, Fanny Budde, Monika Adorjan, Kristina Anderson-Schmidt, Heike Andlauer, Till F. M. Gade, Katrin Hake, Maria Heilbronner, Urs Kalman, Janos L. Reich-Erkelenz, Daniela Klöhn-Saghatolislam, Farah Schaupp, Sabrina K. Schulte, Eva C. Juckel, Georg Dannlowski, Udo Schmauß, Max Zimmermann, Jörg Reimer, Jens Reininghaus, Eva Anghelescu, Ion‐George Arolt, Volker Baune, Bernhard T. Konrad, Carsten Thiel, Andreas Fallgatter, Andreas J. Nieratschker, Vanessa Figge, Christian von Hagen, Martin Koller, Manfred Becker, Thomas Wigand, Moritz E. Jäger, Markus Dietrich, Detlef E. Stierl, Sebastian Scherk, Harald Spitzer, Carsten Folkerts, Here Witt, Stephanie H. Degenhardt, Franziska Forstner, Andreas J. Rietschel, Marcella Nöthen, Markus M. Wiltfang, Jens Falkai, Peter Schulze, Thomas G. Papiol, Sergi The genetic relationship between educational attainment and cognitive performance in major psychiatric disorders |
title | The genetic relationship between educational attainment and cognitive performance in major psychiatric disorders |
title_full | The genetic relationship between educational attainment and cognitive performance in major psychiatric disorders |
title_fullStr | The genetic relationship between educational attainment and cognitive performance in major psychiatric disorders |
title_full_unstemmed | The genetic relationship between educational attainment and cognitive performance in major psychiatric disorders |
title_short | The genetic relationship between educational attainment and cognitive performance in major psychiatric disorders |
title_sort | genetic relationship between educational attainment and cognitive performance in major psychiatric disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6713703/ https://www.ncbi.nlm.nih.gov/pubmed/31462630 http://dx.doi.org/10.1038/s41398-019-0547-x |
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