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The Relationship Between Polygenic Risk Scores and Cognition in Schizophrenia
BACKGROUND: Cognitive impairment is a clinically important feature of schizophrenia. Polygenic risk score (PRS) methods have demonstrated genetic overlap between schizophrenia, bipolar disorder (BD), major depressive disorder (MDD), educational attainment (EA), and IQ, but very few studies have exam...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7442352/ https://www.ncbi.nlm.nih.gov/pubmed/31206164 http://dx.doi.org/10.1093/schbul/sbz061 |
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author | Richards, Alexander L Pardiñas, Antonio F Frizzati, Aura Tansey, Katherine E Lynham, Amy J Holmans, Peter Legge, Sophie E Savage, Jeanne E Agartz, Ingrid Andreassen, Ole A Blokland, Gabriella A M Corvin, Aiden Cosgrove, Donna Degenhardt, Franziska Djurovic, Srdjan Espeseth, Thomas Ferraro, Laura Gayer-Anderson, Charlotte Giegling, Ina van Haren, Neeltje E Hartmann, Annette M Hubert, John J Jönsson, Erik G Konte, Bettina Lennertz, Leonhard Olde Loohuis, Loes M Melle, Ingrid Morgan, Craig Morris, Derek W Murray, Robin M Nyman, Håkan Ophoff, Roel A van Os, Jim Petryshen, Tracey L Quattrone, Diego Rietschel, Marcella Rujescu, Dan Rutten, Bart P F Streit, Fabian Strohmaier, Jana Sullivan, Patrick F Sundet, Kjetil Wagner, Michael Escott-Price, Valentina Owen, Michael J Donohoe, Gary O’Donovan, Michael C Walters, James T R |
author_facet | Richards, Alexander L Pardiñas, Antonio F Frizzati, Aura Tansey, Katherine E Lynham, Amy J Holmans, Peter Legge, Sophie E Savage, Jeanne E Agartz, Ingrid Andreassen, Ole A Blokland, Gabriella A M Corvin, Aiden Cosgrove, Donna Degenhardt, Franziska Djurovic, Srdjan Espeseth, Thomas Ferraro, Laura Gayer-Anderson, Charlotte Giegling, Ina van Haren, Neeltje E Hartmann, Annette M Hubert, John J Jönsson, Erik G Konte, Bettina Lennertz, Leonhard Olde Loohuis, Loes M Melle, Ingrid Morgan, Craig Morris, Derek W Murray, Robin M Nyman, Håkan Ophoff, Roel A van Os, Jim Petryshen, Tracey L Quattrone, Diego Rietschel, Marcella Rujescu, Dan Rutten, Bart P F Streit, Fabian Strohmaier, Jana Sullivan, Patrick F Sundet, Kjetil Wagner, Michael Escott-Price, Valentina Owen, Michael J Donohoe, Gary O’Donovan, Michael C Walters, James T R |
author_sort | Richards, Alexander L |
collection | PubMed |
description | BACKGROUND: Cognitive impairment is a clinically important feature of schizophrenia. Polygenic risk score (PRS) methods have demonstrated genetic overlap between schizophrenia, bipolar disorder (BD), major depressive disorder (MDD), educational attainment (EA), and IQ, but very few studies have examined associations between these PRS and cognitive phenotypes within schizophrenia cases. METHODS: We combined genetic and cognitive data in 3034 schizophrenia cases from 11 samples using the general intelligence factor g as the primary measure of cognition. We used linear regression to examine the association between cognition and PRS for EA, IQ, schizophrenia, BD, and MDD. The results were then meta-analyzed across all samples. A genome-wide association studies (GWAS) of cognition was conducted in schizophrenia cases. RESULTS: PRS for both population IQ (P = 4.39 × 10(–28)) and EA (P = 1.27 × 10(–26)) were positively correlated with cognition in those with schizophrenia. In contrast, there was no association between cognition in schizophrenia cases and PRS for schizophrenia (P = .39), BD (P = .51), or MDD (P = .49). No individual variant approached genome-wide significance in the GWAS. CONCLUSIONS: Cognition in schizophrenia cases is more strongly associated with PRS that index cognitive traits in the general population than PRS for neuropsychiatric disorders. This suggests the mechanisms of cognitive variation within schizophrenia are at least partly independent from those that predispose to schizophrenia diagnosis itself. Our findings indicate that this cognitive variation arises at least in part due to genetic factors shared with cognitive performance in populations and is not solely due to illness or treatment-related factors, although our findings are consistent with important contributions from these factors. |
format | Online Article Text |
id | pubmed-7442352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74423522020-08-25 The Relationship Between Polygenic Risk Scores and Cognition in Schizophrenia Richards, Alexander L Pardiñas, Antonio F Frizzati, Aura Tansey, Katherine E Lynham, Amy J Holmans, Peter Legge, Sophie E Savage, Jeanne E Agartz, Ingrid Andreassen, Ole A Blokland, Gabriella A M Corvin, Aiden Cosgrove, Donna Degenhardt, Franziska Djurovic, Srdjan Espeseth, Thomas Ferraro, Laura Gayer-Anderson, Charlotte Giegling, Ina van Haren, Neeltje E Hartmann, Annette M Hubert, John J Jönsson, Erik G Konte, Bettina Lennertz, Leonhard Olde Loohuis, Loes M Melle, Ingrid Morgan, Craig Morris, Derek W Murray, Robin M Nyman, Håkan Ophoff, Roel A van Os, Jim Petryshen, Tracey L Quattrone, Diego Rietschel, Marcella Rujescu, Dan Rutten, Bart P F Streit, Fabian Strohmaier, Jana Sullivan, Patrick F Sundet, Kjetil Wagner, Michael Escott-Price, Valentina Owen, Michael J Donohoe, Gary O’Donovan, Michael C Walters, James T R Schizophr Bull Regular Articles BACKGROUND: Cognitive impairment is a clinically important feature of schizophrenia. Polygenic risk score (PRS) methods have demonstrated genetic overlap between schizophrenia, bipolar disorder (BD), major depressive disorder (MDD), educational attainment (EA), and IQ, but very few studies have examined associations between these PRS and cognitive phenotypes within schizophrenia cases. METHODS: We combined genetic and cognitive data in 3034 schizophrenia cases from 11 samples using the general intelligence factor g as the primary measure of cognition. We used linear regression to examine the association between cognition and PRS for EA, IQ, schizophrenia, BD, and MDD. The results were then meta-analyzed across all samples. A genome-wide association studies (GWAS) of cognition was conducted in schizophrenia cases. RESULTS: PRS for both population IQ (P = 4.39 × 10(–28)) and EA (P = 1.27 × 10(–26)) were positively correlated with cognition in those with schizophrenia. In contrast, there was no association between cognition in schizophrenia cases and PRS for schizophrenia (P = .39), BD (P = .51), or MDD (P = .49). No individual variant approached genome-wide significance in the GWAS. CONCLUSIONS: Cognition in schizophrenia cases is more strongly associated with PRS that index cognitive traits in the general population than PRS for neuropsychiatric disorders. This suggests the mechanisms of cognitive variation within schizophrenia are at least partly independent from those that predispose to schizophrenia diagnosis itself. Our findings indicate that this cognitive variation arises at least in part due to genetic factors shared with cognitive performance in populations and is not solely due to illness or treatment-related factors, although our findings are consistent with important contributions from these factors. Oxford University Press 2020-02 2019-06-17 /pmc/articles/PMC7442352/ /pubmed/31206164 http://dx.doi.org/10.1093/schbul/sbz061 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Regular Articles Richards, Alexander L Pardiñas, Antonio F Frizzati, Aura Tansey, Katherine E Lynham, Amy J Holmans, Peter Legge, Sophie E Savage, Jeanne E Agartz, Ingrid Andreassen, Ole A Blokland, Gabriella A M Corvin, Aiden Cosgrove, Donna Degenhardt, Franziska Djurovic, Srdjan Espeseth, Thomas Ferraro, Laura Gayer-Anderson, Charlotte Giegling, Ina van Haren, Neeltje E Hartmann, Annette M Hubert, John J Jönsson, Erik G Konte, Bettina Lennertz, Leonhard Olde Loohuis, Loes M Melle, Ingrid Morgan, Craig Morris, Derek W Murray, Robin M Nyman, Håkan Ophoff, Roel A van Os, Jim Petryshen, Tracey L Quattrone, Diego Rietschel, Marcella Rujescu, Dan Rutten, Bart P F Streit, Fabian Strohmaier, Jana Sullivan, Patrick F Sundet, Kjetil Wagner, Michael Escott-Price, Valentina Owen, Michael J Donohoe, Gary O’Donovan, Michael C Walters, James T R The Relationship Between Polygenic Risk Scores and Cognition in Schizophrenia |
title | The Relationship Between Polygenic Risk Scores and Cognition in Schizophrenia |
title_full | The Relationship Between Polygenic Risk Scores and Cognition in Schizophrenia |
title_fullStr | The Relationship Between Polygenic Risk Scores and Cognition in Schizophrenia |
title_full_unstemmed | The Relationship Between Polygenic Risk Scores and Cognition in Schizophrenia |
title_short | The Relationship Between Polygenic Risk Scores and Cognition in Schizophrenia |
title_sort | relationship between polygenic risk scores and cognition in schizophrenia |
topic | Regular Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7442352/ https://www.ncbi.nlm.nih.gov/pubmed/31206164 http://dx.doi.org/10.1093/schbul/sbz061 |
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