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A longitudinal approach to biological psychiatric research: The PsyCourse study

Authors :
Monika Budde
Janos Kalman
Harald Scherk
Martin von Hagen
Fabian U. Lang
Markus Jäger
Jens Wiltfang
Georg Juckel
Udo Dannlowski
Manfred Koller
Fanny Senner
Katrin Gade
Kristina Adorjan
Eva Z. Reininghaus
Eva C. Schulte
Ida Sybille Haußleiter
Anna Gryaznova
Andreas J. Fallgatter
Till F. M. Andlauer
Ion-George Anghelescu
Markus Reitt
Here Folkerts
Sybille Schulz
Urs Heilbronner
Jens Reimer
Marcella Rietschel
Max Schmauß
Christian Figge
Maria Hake
Sebastian Stierl
Andreas Thiel
Laura Flatau
Markus M. Nöthen
Stephanie H. Witt
Moritz E. Wigand
Detlef E. Dietrich
Heike Anderson-Schmidt
Ashley L. Comes
Carsten Spitzer
Thomas Becker
Volker Arolt
Daniela Reich-Erkelenz
Bernhard T. Baune
Kim Bartholdi
Milena Meyers
Thomas G. Schulze
Vanessa Nieratschker
Barbara Emons
Franziska Degenhardt
Peter Falkai
Carsten Konrad
Silke Quast
Sabrina K. Schaupp
Jörg Zimmermann
Sophia Stegmaier
Andreas J. Forstner
Sergi Papiol
Farah Klöhn-Saghatolislam
Source :
American journal of medical genetics / B 180(2), 89-102 (2018). doi:10.1002/ajmg.b.32639, American Journal of Medical Genetics
Publication Year :
2018
Publisher :
Wiley, 2018.

Abstract

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.

Details

ISSN :
1552485X and 15524841
Volume :
180
Database :
OpenAIRE
Journal :
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
Accession number :
edsair.doi.dedup.....fefb3a94d8290055ef0470c5a8f6cdab
Full Text :
https://doi.org/10.1002/ajmg.b.32639