Open AccessDevelopment of Proteomic Prediction Models for Transition to Psychotic Disorder in the Clinical High-Risk State and Psychotic Experiences in Adolescence
Author(s) -
David Mongan,
Melanie Föcking,
Colm Healy,
Subash Raj Susai,
Meike Heurich,
Kieran Wynne,
Barnaby Nelson,
Patrick D. McGorry,
G. Paul Amminger,
Merete Nordentoft,
MarieOdile Krebs,
Anita RiecherRössler,
Rodrigo A. Bressan,
Neus BarrantesVidal,
Stefan Borgwardt,
Stephan Ruhrmann,
Gabriele Sachs,
Christos Pantelis,
Mark van der Gaag,
Lieuwe de Haan,
Lucia Valmaggia,
Thomas Pollak,
Matthew J. Kempton,
Bart P. F. Rutten,
Robert Whelan,
Mary Can,
Stanley Zammit,
Gerard Cagney,
David Cotter,
Philip McGuire,
European Network of National Schizophrenia Networks Studying Gene-Environment Interactions (EU-GEI) High Risk Study Group
Publication year - 2020
Publication title -
jama psychiatry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.531
H-Index - 365
eISSN - 2168-6238
pISSN - 2168-622X
DOI - 10.1001/jamapsychiatry.2020.2459
Subject(s) - psychosis , psychology , schizophrenia (object oriented programming) , psychiatry , clinical psychology
Biomarkers that are predictive of outcomes in individuals at risk of psychosis would facilitate individualized prognosis and stratification strategies.
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