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- Title
The cross-sectional GRAS sample: a comprehensive phenotypical data collection of schizophrenic patients.
- Authors
Ribbe, Katja; Friedrichs, Heidi; Begemann, Martin; Grube, Sabrina; Papiol, Sergi; Kästner, Anne; Gerchen, Martin F; Ackermann, Verena; Tarami, Asieh; Treitz, Annika; Flögel, Marlene; Adler, Lothar; Aldenhoff, Josef B; Becker-Emner, Marianne; Becker, Thomas; Czernik, Adelheid; Dose, Matthias; Folkerts, Here; Freese, Roland; Günther, Rolf; Herpertz, Sabine; Hesse, Dirk; Kruse, Gunther; Kunze, Heinrich; Franz, Michael; Löhrer, Frank; Maier, Wolfgang; Mielke, Andreas; Müller-Isberner, Rüdiger; Oestereich, Cornelia; Pajonk, Frank-Gerald; Pollmächer, Thomas; Schneider, Udo; Schwarz, Hans-Joachim; Kröner-Herwig, Birgit; Havemann-Reinecke, Ursula; Frahm, Jens; Stühmer, Walter; Falkai, Peter; Brose, Nils; Nave, Klaus-Armin; Ehrenreich, Hannelore
- Abstract
Schizophrenia is the collective term for an exclusively clinically diagnosed, heterogeneous group of mental disorders with still obscure biological roots. Based on the assumption that valuable information about relevant genetic and environmental disease mechanisms can be obtained by association studies on patient cohorts of ≥ 1000 patients, if performed on detailed clinical datasets and quantifiable biological readouts, we generated a new schizophrenia data base, the GRAS (Göttingen Research Association for Schizophrenia) data collection. GRAS is the necessary ground to study genetic causes of the schizophrenic phenotype in a 'phenotype-based genetic association study' (PGAS). This approach is different from and complementary to the genome-wide association studies (GWAS) on schizophrenia.
- Publication
BMC psychiatry, 2010, Vol 10, p91
- ISSN
1471-244X
- Publication type
Journal Article
- DOI
10.1186/1471-244X-10-91