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A longitudinal approach to biological psychiatric research: The PsyCourse study
In current diagnostic systems, schizophrenia and bipolar disorder are still conceptualized as distinct categorical entities. Recently, both clinical and genomic evidence have challenged this Kraepelinian dichotomy. There are only few longitudinal studies addressing potential overlaps between these c...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585634/ https://www.ncbi.nlm.nih.gov/pubmed/30070057 http://dx.doi.org/10.1002/ajmg.b.32639 |
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author | Budde, Monika Anderson‐Schmidt, Heike Gade, Katrin Reich‐Erkelenz, Daniela Adorjan, Kristina Kalman, Janos L. Senner, Fanny Papiol, Sergi Andlauer, Till F. M. Comes, Ashley L. Schulte, Eva C. Klöhn‐Saghatolislam, Farah Gryaznova, Anna Hake, Maria Bartholdi, Kim Flatau, Laura Reitt, Markus Quast, Silke Stegmaier, Sophia Meyers, Milena Emons, Barbara Haußleiter, Ida Sybille Juckel, Georg Nieratschker, Vanessa Dannlowski, Udo Schaupp, Sabrina K. Schmauß, Max Zimmermann, Jörg Reimer, Jens Schulz, Sybille Wiltfang, Jens Reininghaus, Eva Anghelescu, Ion‐George Arolt, Volker Baune, Bernhard T. Konrad, Carsten Thiel, Andreas Fallgatter, Andreas J. Figge, Christian von Hagen, Martin Koller, Manfred Lang, Fabian U. Wigand, Moritz E. Becker, Thomas 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. Falkai, Peter Schulze, Thomas G. Heilbronner, Urs |
author_facet | Budde, Monika Anderson‐Schmidt, Heike Gade, Katrin Reich‐Erkelenz, Daniela Adorjan, Kristina Kalman, Janos L. Senner, Fanny Papiol, Sergi Andlauer, Till F. M. Comes, Ashley L. Schulte, Eva C. Klöhn‐Saghatolislam, Farah Gryaznova, Anna Hake, Maria Bartholdi, Kim Flatau, Laura Reitt, Markus Quast, Silke Stegmaier, Sophia Meyers, Milena Emons, Barbara Haußleiter, Ida Sybille Juckel, Georg Nieratschker, Vanessa Dannlowski, Udo Schaupp, Sabrina K. Schmauß, Max Zimmermann, Jörg Reimer, Jens Schulz, Sybille Wiltfang, Jens Reininghaus, Eva Anghelescu, Ion‐George Arolt, Volker Baune, Bernhard T. Konrad, Carsten Thiel, Andreas Fallgatter, Andreas J. Figge, Christian von Hagen, Martin Koller, Manfred Lang, Fabian U. Wigand, Moritz E. Becker, Thomas 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. Falkai, Peter Schulze, Thomas G. Heilbronner, Urs |
author_sort | Budde, Monika |
collection | PubMed |
description | In current diagnostic systems, schizophrenia and bipolar disorder are still conceptualized as distinct categorical entities. Recently, both clinical and genomic evidence have challenged this Kraepelinian dichotomy. There are only few longitudinal studies addressing potential overlaps between these conditions. Here, we present design and first results of the PsyCourse study (N = 891 individuals at baseline), an ongoing transdiagnostic study of the affective‐to‐psychotic continuum that combines longitudinal deep phenotyping and dimensional assessment of psychopathology with an extensive collection of biomaterial. To provide an initial characterization of the PsyCourse study sample, we compare two broad diagnostic groups defined by the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM‐IV) classification system, that is, predominantly affective (n = 367 individuals) versus predominantly psychotic disorders (n = 524 individuals). Depressive, manic, and psychotic symptoms as well as global functioning over time were contrasted using linear mixed models. Furthermore, we explored the effects of polygenic risk scores for schizophrenia on diagnostic group membership and addressed their effects on nonparticipation in follow‐up visits. While phenotypic results confirmed expected differences in current psychotic symptoms and global functioning, both manic and depressive symptoms did not vary between both groups after correction for multiple testing. Polygenic risk scores for schizophrenia significantly explained part of the variability of diagnostic group. The PsyCourse study presents a unique resource to research the complex relationships of psychopathology and biology in severe mental disorders not confined to traditional diagnostic boundaries and is open for collaborations. |
format | Online Article Text |
id | pubmed-6585634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65856342019-06-27 A longitudinal approach to biological psychiatric research: The PsyCourse study Budde, Monika Anderson‐Schmidt, Heike Gade, Katrin Reich‐Erkelenz, Daniela Adorjan, Kristina Kalman, Janos L. Senner, Fanny Papiol, Sergi Andlauer, Till F. M. Comes, Ashley L. Schulte, Eva C. Klöhn‐Saghatolislam, Farah Gryaznova, Anna Hake, Maria Bartholdi, Kim Flatau, Laura Reitt, Markus Quast, Silke Stegmaier, Sophia Meyers, Milena Emons, Barbara Haußleiter, Ida Sybille Juckel, Georg Nieratschker, Vanessa Dannlowski, Udo Schaupp, Sabrina K. Schmauß, Max Zimmermann, Jörg Reimer, Jens Schulz, Sybille Wiltfang, Jens Reininghaus, Eva Anghelescu, Ion‐George Arolt, Volker Baune, Bernhard T. Konrad, Carsten Thiel, Andreas Fallgatter, Andreas J. Figge, Christian von Hagen, Martin Koller, Manfred Lang, Fabian U. Wigand, Moritz E. Becker, Thomas 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. Falkai, Peter Schulze, Thomas G. Heilbronner, Urs Am J Med Genet B Neuropsychiatr Genet Research Articles In current diagnostic systems, schizophrenia and bipolar disorder are still conceptualized as distinct categorical entities. Recently, both clinical and genomic evidence have challenged this Kraepelinian dichotomy. There are only few longitudinal studies addressing potential overlaps between these conditions. Here, we present design and first results of the PsyCourse study (N = 891 individuals at baseline), an ongoing transdiagnostic study of the affective‐to‐psychotic continuum that combines longitudinal deep phenotyping and dimensional assessment of psychopathology with an extensive collection of biomaterial. To provide an initial characterization of the PsyCourse study sample, we compare two broad diagnostic groups defined by the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM‐IV) classification system, that is, predominantly affective (n = 367 individuals) versus predominantly psychotic disorders (n = 524 individuals). Depressive, manic, and psychotic symptoms as well as global functioning over time were contrasted using linear mixed models. Furthermore, we explored the effects of polygenic risk scores for schizophrenia on diagnostic group membership and addressed their effects on nonparticipation in follow‐up visits. While phenotypic results confirmed expected differences in current psychotic symptoms and global functioning, both manic and depressive symptoms did not vary between both groups after correction for multiple testing. Polygenic risk scores for schizophrenia significantly explained part of the variability of diagnostic group. The PsyCourse study presents a unique resource to research the complex relationships of psychopathology and biology in severe mental disorders not confined to traditional diagnostic boundaries and is open for collaborations. John Wiley and Sons Inc. 2018-08-02 2019-03 /pmc/articles/PMC6585634/ /pubmed/30070057 http://dx.doi.org/10.1002/ajmg.b.32639 Text en © 2018 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Budde, Monika Anderson‐Schmidt, Heike Gade, Katrin Reich‐Erkelenz, Daniela Adorjan, Kristina Kalman, Janos L. Senner, Fanny Papiol, Sergi Andlauer, Till F. M. Comes, Ashley L. Schulte, Eva C. Klöhn‐Saghatolislam, Farah Gryaznova, Anna Hake, Maria Bartholdi, Kim Flatau, Laura Reitt, Markus Quast, Silke Stegmaier, Sophia Meyers, Milena Emons, Barbara Haußleiter, Ida Sybille Juckel, Georg Nieratschker, Vanessa Dannlowski, Udo Schaupp, Sabrina K. Schmauß, Max Zimmermann, Jörg Reimer, Jens Schulz, Sybille Wiltfang, Jens Reininghaus, Eva Anghelescu, Ion‐George Arolt, Volker Baune, Bernhard T. Konrad, Carsten Thiel, Andreas Fallgatter, Andreas J. Figge, Christian von Hagen, Martin Koller, Manfred Lang, Fabian U. Wigand, Moritz E. Becker, Thomas 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. Falkai, Peter Schulze, Thomas G. Heilbronner, Urs A longitudinal approach to biological psychiatric research: The PsyCourse study |
title | A longitudinal approach to biological psychiatric research: The PsyCourse study |
title_full | A longitudinal approach to biological psychiatric research: The PsyCourse study |
title_fullStr | A longitudinal approach to biological psychiatric research: The PsyCourse study |
title_full_unstemmed | A longitudinal approach to biological psychiatric research: The PsyCourse study |
title_short | A longitudinal approach to biological psychiatric research: The PsyCourse study |
title_sort | longitudinal approach to biological psychiatric research: the psycourse study |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585634/ https://www.ncbi.nlm.nih.gov/pubmed/30070057 http://dx.doi.org/10.1002/ajmg.b.32639 |
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