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Genetics of response to cognitive behavior therapy in adults with major depression: a preliminary report
Major depressive disorder is heritable and a leading cause of disability. Cognitive behavior therapy is an effective treatment for major depression. By quantifying genetic risk scores based on common genetic variants, the aim of this report was to explore the utility of psychiatric and cognitive tra...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6477793/ https://www.ncbi.nlm.nih.gov/pubmed/30410065 http://dx.doi.org/10.1038/s41380-018-0289-9 |
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author | Andersson, Evelyn Crowley, James J. Lindefors, Nils Ljótsson, Brjánn Hedman-Lagerlöf, Erik Boberg, Julia El Alaoui, Samir Karlsson, Robert Lu, Yi Mattheisen, Manuel Kähler, Anna K. Svanborg, Cecilia Mataix-Cols, David Mattsson, Simon Forsell, Erik Kaldo, Viktor Schalling, Martin Lavebratt, Catharina Sullivan, Patrick F. Rück, Christian |
author_facet | Andersson, Evelyn Crowley, James J. Lindefors, Nils Ljótsson, Brjánn Hedman-Lagerlöf, Erik Boberg, Julia El Alaoui, Samir Karlsson, Robert Lu, Yi Mattheisen, Manuel Kähler, Anna K. Svanborg, Cecilia Mataix-Cols, David Mattsson, Simon Forsell, Erik Kaldo, Viktor Schalling, Martin Lavebratt, Catharina Sullivan, Patrick F. Rück, Christian |
author_sort | Andersson, Evelyn |
collection | PubMed |
description | Major depressive disorder is heritable and a leading cause of disability. Cognitive behavior therapy is an effective treatment for major depression. By quantifying genetic risk scores based on common genetic variants, the aim of this report was to explore the utility of psychiatric and cognitive trait genetic risk scores, for predicting the response of 894 adults with major depressive disorder to cognitive behavior therapy. The participants were recruited in a psychiatric setting, and the primary outcome score was measured using the Montgomery Åsberg Depression Rating Scale-Self Rated. Single-nucleotide polymorphism genotyping arrays were used to calculate the genomic risk scores based on large genetic studies of six phenotypes: major depressive disorder, bipolar disorder, attention-deficit/hyperactivity disorder, autism spectrum disorder, intelligence, and educational attainment. Linear mixed-effect models were used to test the relationships between the six genetic risk scores and cognitive behavior therapy outcome. Our analyses yielded one significant interaction effect (B = 0.09, p < 0.001): the autism spectrum disorder genetic risk score correlated with Montgomery Åsberg Depression Rating Scale-Self Rated changes during treatment, and the higher the autism spectrum disorder genetic load, the less the depressive symptoms decreased over time. The genetic risk scores for the other psychiatric and cognitive traits were not related to depressive symptom severity or change over time. Our preliminary results indicated, as expected, that the genomics of the response of patients with major depression to cognitive behavior therapy were complex and that future efforts should aim to maximize sample size and limit subject heterogeneity in order to gain a better understanding of the use of genetic risk factors to predict treatment outcome. |
format | Online Article Text |
id | pubmed-6477793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64777932019-06-25 Genetics of response to cognitive behavior therapy in adults with major depression: a preliminary report Andersson, Evelyn Crowley, James J. Lindefors, Nils Ljótsson, Brjánn Hedman-Lagerlöf, Erik Boberg, Julia El Alaoui, Samir Karlsson, Robert Lu, Yi Mattheisen, Manuel Kähler, Anna K. Svanborg, Cecilia Mataix-Cols, David Mattsson, Simon Forsell, Erik Kaldo, Viktor Schalling, Martin Lavebratt, Catharina Sullivan, Patrick F. Rück, Christian Mol Psychiatry News Major depressive disorder is heritable and a leading cause of disability. Cognitive behavior therapy is an effective treatment for major depression. By quantifying genetic risk scores based on common genetic variants, the aim of this report was to explore the utility of psychiatric and cognitive trait genetic risk scores, for predicting the response of 894 adults with major depressive disorder to cognitive behavior therapy. The participants were recruited in a psychiatric setting, and the primary outcome score was measured using the Montgomery Åsberg Depression Rating Scale-Self Rated. Single-nucleotide polymorphism genotyping arrays were used to calculate the genomic risk scores based on large genetic studies of six phenotypes: major depressive disorder, bipolar disorder, attention-deficit/hyperactivity disorder, autism spectrum disorder, intelligence, and educational attainment. Linear mixed-effect models were used to test the relationships between the six genetic risk scores and cognitive behavior therapy outcome. Our analyses yielded one significant interaction effect (B = 0.09, p < 0.001): the autism spectrum disorder genetic risk score correlated with Montgomery Åsberg Depression Rating Scale-Self Rated changes during treatment, and the higher the autism spectrum disorder genetic load, the less the depressive symptoms decreased over time. The genetic risk scores for the other psychiatric and cognitive traits were not related to depressive symptom severity or change over time. Our preliminary results indicated, as expected, that the genomics of the response of patients with major depression to cognitive behavior therapy were complex and that future efforts should aim to maximize sample size and limit subject heterogeneity in order to gain a better understanding of the use of genetic risk factors to predict treatment outcome. Nature Publishing Group UK 2018-11-08 2019 /pmc/articles/PMC6477793/ /pubmed/30410065 http://dx.doi.org/10.1038/s41380-018-0289-9 Text en © The Author(s) 2018 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 | News Andersson, Evelyn Crowley, James J. Lindefors, Nils Ljótsson, Brjánn Hedman-Lagerlöf, Erik Boberg, Julia El Alaoui, Samir Karlsson, Robert Lu, Yi Mattheisen, Manuel Kähler, Anna K. Svanborg, Cecilia Mataix-Cols, David Mattsson, Simon Forsell, Erik Kaldo, Viktor Schalling, Martin Lavebratt, Catharina Sullivan, Patrick F. Rück, Christian Genetics of response to cognitive behavior therapy in adults with major depression: a preliminary report |
title | Genetics of response to cognitive behavior therapy in adults with major depression: a preliminary report |
title_full | Genetics of response to cognitive behavior therapy in adults with major depression: a preliminary report |
title_fullStr | Genetics of response to cognitive behavior therapy in adults with major depression: a preliminary report |
title_full_unstemmed | Genetics of response to cognitive behavior therapy in adults with major depression: a preliminary report |
title_short | Genetics of response to cognitive behavior therapy in adults with major depression: a preliminary report |
title_sort | genetics of response to cognitive behavior therapy in adults with major depression: a preliminary report |
topic | News |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6477793/ https://www.ncbi.nlm.nih.gov/pubmed/30410065 http://dx.doi.org/10.1038/s41380-018-0289-9 |
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