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Polygenic Risk Scores Differentiating Schizophrenia From Bipolar Disorder Are Associated With Premorbid Intelligence in Schizophrenia Patients and Healthy Subjects

BACKGROUND: Impairments in intelligence are more severe in patients with schizophrenia (SCZ) than in patients with bipolar disorder (BD) despite clinical and genetic similarities between the disorders. Genetic loci differentiating SCZ from BD, that is, SCZ-specific risk, have been identified. Polyge...

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Autores principales: Ohi, Kazutaka, Nishizawa, Daisuke, Sugiyama, Shunsuke, Takai, Kentaro, Kuramitsu, Ayumi, Hasegawa, Junko, Soda, Midori, Kitaichi, Kiyoyuki, Hashimoto, Ryota, Ikeda, Kazutaka, Shioiri, Toshiki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299820/
https://www.ncbi.nlm.nih.gov/pubmed/33738471
http://dx.doi.org/10.1093/ijnp/pyab014
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author Ohi, Kazutaka
Nishizawa, Daisuke
Sugiyama, Shunsuke
Takai, Kentaro
Kuramitsu, Ayumi
Hasegawa, Junko
Soda, Midori
Kitaichi, Kiyoyuki
Hashimoto, Ryota
Ikeda, Kazutaka
Shioiri, Toshiki
author_facet Ohi, Kazutaka
Nishizawa, Daisuke
Sugiyama, Shunsuke
Takai, Kentaro
Kuramitsu, Ayumi
Hasegawa, Junko
Soda, Midori
Kitaichi, Kiyoyuki
Hashimoto, Ryota
Ikeda, Kazutaka
Shioiri, Toshiki
author_sort Ohi, Kazutaka
collection PubMed
description BACKGROUND: Impairments in intelligence are more severe in patients with schizophrenia (SCZ) than in patients with bipolar disorder (BD) despite clinical and genetic similarities between the disorders. Genetic loci differentiating SCZ from BD, that is, SCZ-specific risk, have been identified. Polygenetic [risk] scores (PGSs) for SCZ-specific risk are higher in SCZ patients than in healthy controls (HCs). However, the influence of genetic risk on impaired intelligence is poorly understood. Here, we investigated whether SCZ-specific risk could predict impairments in intelligence in SCZ patients and HCs. METHODS: Large-scale genome-wide association study datasets related to SCZ vs BD, childhood intelligence (CHI), and adulthood intelligence (n = 12 441–282 014) were utilized to compute PGSs. PGSs derived from the genome-wide association studies were calculated for 130 patients with SCZ and 146 HCs. Premorbid and current intelligence and the decline were measured in SCZ patients and HCs. Correlations between PGSs and intelligence functions were investigated. RESULTS: High PGSs for SCZ-specific risk were correlated with low premorbid intelligence in SCZ patients and HCs (β = −0.17, P = 4.12 × 10(–3)). The correlation was still significant after adjusting for diagnostic status (β = −0.13, P = .024). There were no significant correlations between PGSs for SCZ-specific risk and current intelligence or intelligence decline (P > .05). PGSs for CHI were lower in SCZ patients than in HCs (R(2) = 0.025, P = .025), while the PGSs for CHI were not significantly correlated with premorbid and current intelligence, the decline, or the PGSs for SCZ-specific risk (P > .05). CONCLUSIONS: These findings suggest that genetic factors differentiating SCZ from BD might affect the pathogenesis of SCZ and/or pathological differences between SCZ and BD via the impairment of premorbid intelligence, that is, crystallized intelligence, while genetic factors for CHI might affect the pathogenesis of SCZ but not via impairments in intelligence.
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spelling pubmed-82998202021-07-26 Polygenic Risk Scores Differentiating Schizophrenia From Bipolar Disorder Are Associated With Premorbid Intelligence in Schizophrenia Patients and Healthy Subjects Ohi, Kazutaka Nishizawa, Daisuke Sugiyama, Shunsuke Takai, Kentaro Kuramitsu, Ayumi Hasegawa, Junko Soda, Midori Kitaichi, Kiyoyuki Hashimoto, Ryota Ikeda, Kazutaka Shioiri, Toshiki Int J Neuropsychopharmacol Regular Research Articles BACKGROUND: Impairments in intelligence are more severe in patients with schizophrenia (SCZ) than in patients with bipolar disorder (BD) despite clinical and genetic similarities between the disorders. Genetic loci differentiating SCZ from BD, that is, SCZ-specific risk, have been identified. Polygenetic [risk] scores (PGSs) for SCZ-specific risk are higher in SCZ patients than in healthy controls (HCs). However, the influence of genetic risk on impaired intelligence is poorly understood. Here, we investigated whether SCZ-specific risk could predict impairments in intelligence in SCZ patients and HCs. METHODS: Large-scale genome-wide association study datasets related to SCZ vs BD, childhood intelligence (CHI), and adulthood intelligence (n = 12 441–282 014) were utilized to compute PGSs. PGSs derived from the genome-wide association studies were calculated for 130 patients with SCZ and 146 HCs. Premorbid and current intelligence and the decline were measured in SCZ patients and HCs. Correlations between PGSs and intelligence functions were investigated. RESULTS: High PGSs for SCZ-specific risk were correlated with low premorbid intelligence in SCZ patients and HCs (β = −0.17, P = 4.12 × 10(–3)). The correlation was still significant after adjusting for diagnostic status (β = −0.13, P = .024). There were no significant correlations between PGSs for SCZ-specific risk and current intelligence or intelligence decline (P > .05). PGSs for CHI were lower in SCZ patients than in HCs (R(2) = 0.025, P = .025), while the PGSs for CHI were not significantly correlated with premorbid and current intelligence, the decline, or the PGSs for SCZ-specific risk (P > .05). CONCLUSIONS: These findings suggest that genetic factors differentiating SCZ from BD might affect the pathogenesis of SCZ and/or pathological differences between SCZ and BD via the impairment of premorbid intelligence, that is, crystallized intelligence, while genetic factors for CHI might affect the pathogenesis of SCZ but not via impairments in intelligence. Oxford University Press 2021-03-19 /pmc/articles/PMC8299820/ /pubmed/33738471 http://dx.doi.org/10.1093/ijnp/pyab014 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of CINP. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Regular Research Articles
Ohi, Kazutaka
Nishizawa, Daisuke
Sugiyama, Shunsuke
Takai, Kentaro
Kuramitsu, Ayumi
Hasegawa, Junko
Soda, Midori
Kitaichi, Kiyoyuki
Hashimoto, Ryota
Ikeda, Kazutaka
Shioiri, Toshiki
Polygenic Risk Scores Differentiating Schizophrenia From Bipolar Disorder Are Associated With Premorbid Intelligence in Schizophrenia Patients and Healthy Subjects
title Polygenic Risk Scores Differentiating Schizophrenia From Bipolar Disorder Are Associated With Premorbid Intelligence in Schizophrenia Patients and Healthy Subjects
title_full Polygenic Risk Scores Differentiating Schizophrenia From Bipolar Disorder Are Associated With Premorbid Intelligence in Schizophrenia Patients and Healthy Subjects
title_fullStr Polygenic Risk Scores Differentiating Schizophrenia From Bipolar Disorder Are Associated With Premorbid Intelligence in Schizophrenia Patients and Healthy Subjects
title_full_unstemmed Polygenic Risk Scores Differentiating Schizophrenia From Bipolar Disorder Are Associated With Premorbid Intelligence in Schizophrenia Patients and Healthy Subjects
title_short Polygenic Risk Scores Differentiating Schizophrenia From Bipolar Disorder Are Associated With Premorbid Intelligence in Schizophrenia Patients and Healthy Subjects
title_sort polygenic risk scores differentiating schizophrenia from bipolar disorder are associated with premorbid intelligence in schizophrenia patients and healthy subjects
topic Regular Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299820/
https://www.ncbi.nlm.nih.gov/pubmed/33738471
http://dx.doi.org/10.1093/ijnp/pyab014
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