Genetics of response to cognitive behavior therapy in adults with major depression: a preliminary report.


Journal

Molecular psychiatry
ISSN: 1476-5578
Titre abrégé: Mol Psychiatry
Pays: England
ID NLM: 9607835

Informations de publication

Date de publication:
04 2019
Historique:
pubmed: 10 11 2018
medline: 4 12 2019
entrez: 10 11 2018
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 30410065
doi: 10.1038/s41380-018-0289-9
pii: 10.1038/s41380-018-0289-9
pmc: PMC6477793
doi:

Substances chimiques

Biomarkers 0

Types de publication

News Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

484-490

Références

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Auteurs

Evelyn Andersson (E)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.

James J Crowley (JJ)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Center for Psychiatric Genomics, University of North Carolina, Chapel Hill, NC, USA.
Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.

Nils Lindefors (N)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.

Brjánn Ljótsson (B)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Erik Hedman-Lagerlöf (E)

Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Julia Boberg (J)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.

Samir El Alaoui (S)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.

Robert Karlsson (R)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Yi Lu (Y)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Manuel Mattheisen (M)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.
Department of Biomedicine and Center for Integrated Sequencing (iSEQ), Aarhus University, Aarhus, Denmark.

Anna K Kähler (AK)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Cecilia Svanborg (C)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.

David Mataix-Cols (D)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.

Simon Mattsson (S)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.

Erik Forsell (E)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.

Viktor Kaldo (V)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.
Department of Psychology, Faculty of Health and Life Sciences, Linnaeus University, Växjö, Sweden.

Martin Schalling (M)

Neurogenetics Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital Solna, Stockholm, Sweden.

Catharina Lavebratt (C)

Neurogenetics Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital Solna, Stockholm, Sweden.

Patrick F Sullivan (PF)

Center for Psychiatric Genomics, University of North Carolina, Chapel Hill, NC, USA.
Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Christian Rück (C)

Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. Christian.ruck@ki.se.
Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden. Christian.ruck@ki.se.

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