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Schmitt, Andrea; Rujescu, Dan; Gawlik, Micha; Hasan, Alkomiet; Hashimoto, Kenji; Iceta, Sylvain; Jarema, Marek; Kambeitz, Joseph; Kasper, Siegfried; Keeser, Daniel; Kornhuber, Johannes; Koutsouleris, Nikolaos; Lanzenberger, Rupert; Malchow, Berend; Saoud, Mohamed; Spies, Marie; Stoeber, Gerald; Thibaut, Florence; Riederer, Peter und Falkai, Peter ORCID logoORCID: https://orcid.org/0000-0003-2873-8667 (2016): Consensus paper of the WFSBP Task Force on Biological Markers: Criteria for biomarkers and endophenotypes of schizophrenia part II: Cognition, neuroimaging and genetics. In: World Journal of Biological Psychiatry, Bd. 17, Nr. 6: S. 406-428

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Abstract

Objectives: Schizophrenia is a group of severe psychiatric disorders with high heritability but only low odds ratios of risk genes. Despite progress in the identification of pathophysiological processes, valid biomarkers of the disease are still lacking.Methods: This comprehensive review summarises recent efforts to identify genetic underpinnings, clinical and cognitive endophenotypes and symptom dimensions of schizophrenia and presents findings from neuroimaging studies with structural, functional and spectroscopy magnetic resonance imaging and positron emission tomography. The potential of findings to be biomarkers of schizophrenia is discussed.Results: Recent findings have not resulted in clear biomarkers for schizophrenia. However, we identified several biomarkers that are potential candidates for future research. Among them, copy number variations and links between genetic polymorphisms derived from genome-wide analysis studies, clinical or cognitive phenotypes, multimodal neuroimaging findings including positron emission tomography and magnetic resonance imaging, and the application of multivariate pattern analyses are promising.Conclusions: Future studies should address the effects of treatment and stage of the disease more precisely and apply combinations of biomarker candidates. Although biomarkers for schizophrenia await validation, knowledge on candidate genomic and neuroimaging biomarkers is growing rapidly and research on this topic has the potential to identify psychiatric endophenotypes and in the future increase insight on individual treatment response in schizophrenia.

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