A longitudinal approach to biological psychiatric research. The PsyCourse study
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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.
in: AM J MED GENET B, Jahrgang 180, Nr. 2, 03.2019, S. 89-102.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - A longitudinal approach to biological psychiatric research. The PsyCourse study
AU - Budde, Monika
AU - Anderson-Schmidt, Heike
AU - Gade, Katrin
AU - Reich-Erkelenz, Daniela
AU - Adorjan, Kristina
AU - Kalman, Janos L
AU - Senner, Fanny
AU - Papiol, Sergi
AU - Andlauer, Till F M
AU - Comes, Ashley L
AU - Schulte, Eva C
AU - Klöhn-Saghatolislam, Farah
AU - Gryaznova, Anna
AU - Hake, Maria
AU - Bartholdi, Kim
AU - Flatau, Laura
AU - Reitt, Markus
AU - Quast, Silke
AU - Stegmaier, Sophia
AU - Meyers, Milena
AU - Emons, Barbara
AU - Haußleiter, Ida Sybille
AU - Juckel, Georg
AU - Nieratschker, Vanessa
AU - Dannlowski, Udo
AU - Schaupp, Sabrina K
AU - Schmauß, Max
AU - Zimmermann, Jörg
AU - Reimer, Jens
AU - Schulz, Sybille
AU - Wiltfang, Jens
AU - Reininghaus, Eva
AU - Anghelescu, Ion-George
AU - Arolt, Volker
AU - Baune, Bernhard T
AU - Konrad, Carsten
AU - Thiel, Andreas
AU - Fallgatter, Andreas J
AU - Figge, Christian
AU - von Hagen, Martin
AU - Koller, Manfred
AU - Lang, Fabian U
AU - Wigand, Moritz E
AU - Becker, Thomas
AU - Jäger, Markus
AU - Dietrich, Detlef E
AU - Stierl, Sebastian
AU - Scherk, Harald
AU - Spitzer, Carsten
AU - Folkerts, Here
AU - Witt, Stephanie H
AU - Degenhardt, Franziska
AU - Forstner, Andreas J
AU - Rietschel, Marcella
AU - Nöthen, Markus M
AU - Falkai, Peter
AU - Schulze, Thomas G
AU - Heilbronner, Urs
N1 - © 2018 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Published by Wiley Periodicals, Inc.
PY - 2019/3
Y1 - 2019/3
N2 - 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.
AB - 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.
U2 - 10.1002/ajmg.b.32639
DO - 10.1002/ajmg.b.32639
M3 - SCORING: Journal article
C2 - 30070057
VL - 180
SP - 89
EP - 102
JO - AM J MED GENET B
JF - AM J MED GENET B
SN - 1552-4841
IS - 2
ER -