Hans-Joachim Schwarz

Publications (3)2.55 Total impact

• Source

  Available from: Ursula Havemann-Reinecke

  Article: The cross-sectional GRAS sample: a comprehensive phenotypical data collection of schizophrenic patients.

  Katja Ribbe, Heidi Friedrichs, Martin Begemann, Sabrina Grube, Sergi Papiol, Anne Kästner, Martin F Gerchen, Verena Ackermann, Asieh Tarami, Annika Treitz, [......], Udo Schneider, Hans-Joachim Schwarz, Birgit Kröner-Herwig, Ursula Havemann-Reinecke, Jens Frahm, Walter Stühmer, Peter Falkai, Nils Brose, Klaus-Armin Nave, Hannelore Ehrenreich
  [show abstract] [hide abstract]
  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. For this purpose, 1085 patients were recruited between 2005 and 2010 by an invariable team of traveling investigators in a cross-sectional field study that comprised 23 German psychiatric hospitals. Additionally, chart records and discharge letters of all patients were collected. The corresponding dataset extracted and presented in form of an overview here, comprises biographic information, disease history, medication including side effects, and results of comprehensive cross-sectional psychopathological, neuropsychological, and neurological examinations. With >3000 data points per schizophrenic subject, this data base of living patients, who are also accessible for follow-up studies, provides a wide-ranging and standardized phenotype characterization of as yet unprecedented detail. The GRAS data base will serve as prerequisite for PGAS, a novel approach to better understanding 'the schizophrenias' through exploring the contribution of genetic variation to the schizophrenic phenotypes.
  BMC Psychiatry 11/2010; 10:91. · 2.55 Impact Factor
• Article: The cross-sectional GRAS sample: A comprehensive phenotypical data collection of schizophrenic patients

  Katja Ribbe, Heidi Friedrichs, Martin Begemann, Sabrina Grube, Sergi Papiol, Anne Kästner, Martin Gerchen, Verena Ackermann, Asieh Tarami, Annika Treitz, [......], Udo Schneider, Hans-Joachim Schwarz, Birgit Kröner-Herwig, Ursula Havemann-Reinecke, Jens Frahm, Walter Stühmer, Peter Falkai, Nils Brose, Klaus-Armin Nave, Hannelore Ehrenreich
  [show abstract] [hide abstract]
  ABSTRACT: Abstract Background 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. Methods For this purpose, 1085 patients were recruited between 2005 and 2010 by an invariable team of traveling investigators in a cross-sectional field study that comprised 23 German psychiatric hospitals. Additionally, chart records and discharge letters of all patients were collected. Results The corresponding dataset extracted and presented in form of an overview here, comprises biographic information, disease history, medication including side effects, and results of comprehensive cross-sectional psychopathological, neuropsychological, and neurological examinations. With >3000 data points per schizophrenic subject, this data base of living patients, who are also accessible for follow-up studies, provides a wide-ranging and standardized phenotype characterization of as yet unprecedented detail. Conclusions The GRAS data base will serve as prerequisite for PGAS, a novel approach to better understanding 'the schizophrenias' through exploring the contribution of genetic variation to the schizophrenic phenotypes.
  BMC Psychiatry. 01/2010;
• Article: The cross-sectional GRAS sample: a comprehensive phenotypical data collection of schizophrenic patients

  Katja Ribbe, Heidi Friedrichs, Martin Begemann, Sabrina Grube, Sergi Papiol, Anne Kästner, Martin F Gerchen, Verena Ackermann, Asieh Tarami, Annika Treitz, [......], Udo Schneider, Hans-Joachim Schwarz, Birgit Kröner-Herwig, Ursula Havemann-Reinecke, Jens Frahm, Walter Stühmer, Peter Falkai, Nils Brose, Klaus-Armin Nave, Hannelore Ehrenreich
  BMC Psychiatry, v.10 (2010).