Data-driven subphenotypic dissection of the clinical heterogeneity of schizophrenia spectrum
disorders
Habtewold, Tesfa
DOI:
10.33612/diss.156108872
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Publication date:
2021
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Habtewold, T. (2021). Data-driven subphenotypic dissection of the clinical heterogeneity of schizophrenia
spectrum disorders. University of Groningen. https://doi.org/10.33612/diss.156108872
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Data-driven subphenotypic dissection of
the clinical heterogeneity of schizophrenia
spectrum disorders
Tesfa D. Habtewold
2020
University Medical Center Groningen and the mental health institutions: Lentis, GGZ Friesland, GGZ Drenthe, Dimence, Mediant, GGNet Warnsveld, Yulius Dordrecht and Parnassia psycho-medical center The Hague. Maastricht: Maastricht University Medical Centre and the mental health institutions: GGZ Eindhoven en De Kempen, GGZ Breburg, GGZ Oost-Brabant, Vincent van Gogh voor Geestelijke Gezondheid, Mondriaan, Virenze riagg, Zuyderland GGZ, MET ggz, Universitair Centrum Sint-Jozef Kortenberg, CAPRI University of Antwerp, PC Ziekeren Sint-Truiden, PZ Sancta Maria Sint-Truiden, GGZ Overpelt, OPZ Rekem. Utrecht: University Medical Center Utrecht and the mental health institutions Altrecht, GGZ Centraal and Delta. Tesfa D. Habtewold received a Ph.D. scholarship of the University of Groningen. The publication and printing of this thesis was financially supported by Research Institute Science in Healthy Ageing and healthcaRE (SHARE), University Medical Center Groningen (UMCG), Graduate School of Medical Sciences (GSMS), University of Groningen (RUG) and Rob Giel Research center (RGOc). All support is gratefully acknowledged.
:
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Data-driven subphenotypic dissection of
the clinical heterogeneity of schizophrenia
spectrum disorders
PhD thesis
to obtain the degree of PhD at the University of Groningen
on the authority of the Rector Magnificus Prof. C. Wijmenga
and in accordance with the decision by the College of Deans. This thesis will be defended in public on
Monday 1 February 2021 at 16:15 hours
by
Tesfa Dejenie Habtewold
born on 29 January 1987 in Yewello, Ethiopia
Assessment Committee
Prof. A.C. Krabbendam Prof. D.C. Cath
Paranymphs
B. S. Tegegne R. Broekstra
Table of Contents
Chapter 1 General introduction 9
Chapter 2 A systematic review and narrative synthesis of data-driven studies in schizophrenia symptoms and cognitive deficits
Translational Psychiatry 2020; 10:244.
29
Chapter 3 Heterogeneity of clinical trajectories, disease liability and underlying factors in schizophrenia spectrum disorders: data-driven phenotypic analyses
Accepted in Molecular Psychiatry
59
Chapter 4 Long-term cognitive trajectories and heterogeneity in patients with schizophrenia and their unaffected siblings
Acta Psychiatrica Scandinavica 2018; 138: 591-604
91
Chapter 5 Association of schizophrenia polygenic risk score with data-driven cognitive subtypes: a six-year longitudinal study in patients, siblings and controls
Schizophrenia Research 2020; 223: 135-147
121
Chapter 6 Polygenic risk score for schizophrenia was not associated with glycemic level (HbA1c) in patients with non-affective psychosis: Genetic Risk and Outcome of Psychosis (GROUP) cohort study
Journal of Psychosomatic Research 2020; 132:109968
153
Chapter 7 Summary, general discussion and future perspectives 177
Chapter 8 Nederlandse samenvatting 194
Research Institute SHARE thesis 198
Acknowledgmeánts 200
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