The cross-sectional GRAS sample: <it<A comprehensive phenotypical data collection of schizophrenic patients</it<
<p<Abstract</p< <p<Background</p< <p<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 e...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Oestereich Cornelia [verfasserIn] Müller-Isberner Rüdiger [verfasserIn] Mielke Andreas [verfasserIn] Maier Wolfgang [verfasserIn] Löhrer Frank [verfasserIn] Franz Michael [verfasserIn] Kunze Heinrich [verfasserIn] Kruse Gunther [verfasserIn] Hesse Dirk [verfasserIn] Herpertz Sabine [verfasserIn] Günther Rolf [verfasserIn] Freese Roland [verfasserIn] Folkerts Here [verfasserIn] Dose Matthias [verfasserIn] Czernik Adelheid [verfasserIn] Becker Thomas [verfasserIn] Becker-Emner Marianne [verfasserIn] Aldenhoff Josef B [verfasserIn] Adler Lothar [verfasserIn] Flögel Marlene [verfasserIn] Treitz Annika [verfasserIn] Tarami Asieh [verfasserIn] Ackermann Verena [verfasserIn] Gerchen Martin F [verfasserIn] Kästner Anne [verfasserIn] Papiol Sergi [verfasserIn] Grube Sabrina [verfasserIn] Begemann Martin [verfasserIn] Friedrichs Heidi [verfasserIn] Ribbe Katja [verfasserIn] Pajonk Frank-Gerald [verfasserIn] Pollmächer Thomas [verfasserIn] Schneider Udo [verfasserIn] Schwarz Hans-Joachim [verfasserIn] Kröner-Herwig Birgit [verfasserIn] Havemann-Reinecke Ursula [verfasserIn] Frahm Jens [verfasserIn] Stühmer Walter [verfasserIn] Falkai Peter [verfasserIn] Brose Nils [verfasserIn] Nave Klaus-Armin [verfasserIn] Ehrenreich Hannelore [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2010 |
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| Übergeordnetes Werk: |
In: BMC Psychiatry - BMC, 2003, 10(2010), 1, p 91 |
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| Übergeordnetes Werk: |
volume:10 ; year:2010 ; number:1, p 91 |
| Links: |
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| DOI / URN: |
10.1186/1471-244X-10-91 |
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| Katalog-ID: |
DOAJ021603200 |
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| 520 | |a <p<Abstract</p< <p<Background</p< <p<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.</p< <p<Methods</p< <p<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.</p< <p<Results</p< <p<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.</p< <p<Conclusions</p< <p<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.</p< | ||
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10.1186/1471-244X-10-91 doi (DE-627)DOAJ021603200 (DE-599)DOAJe45eb6fbb33d4cc7b4c57357cb76eaf3 DE-627 ger DE-627 rakwb eng RC435-571 Oestereich Cornelia verfasserin aut The cross-sectional GRAS sample: <it<A comprehensive phenotypical data collection of schizophrenic patients</it< 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<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.</p< <p<Methods</p< <p<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.</p< <p<Results</p< <p<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.</p< <p<Conclusions</p< <p<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.</p< Psychiatry Müller-Isberner Rüdiger verfasserin aut Mielke Andreas verfasserin aut Maier Wolfgang verfasserin aut Löhrer Frank verfasserin aut Franz Michael verfasserin aut Kunze Heinrich verfasserin aut Kruse Gunther verfasserin aut Hesse Dirk verfasserin aut Herpertz Sabine verfasserin aut Günther Rolf verfasserin aut Freese Roland verfasserin aut Folkerts Here verfasserin aut Dose Matthias verfasserin aut Czernik Adelheid verfasserin aut Becker Thomas verfasserin aut Becker-Emner Marianne verfasserin aut Aldenhoff Josef B verfasserin aut Adler Lothar verfasserin aut Flögel Marlene verfasserin aut Treitz Annika verfasserin aut Tarami Asieh verfasserin aut Ackermann Verena verfasserin aut Gerchen Martin F verfasserin aut Kästner Anne verfasserin aut Papiol Sergi verfasserin aut Grube Sabrina verfasserin aut Begemann Martin verfasserin aut Friedrichs Heidi verfasserin aut Ribbe Katja verfasserin aut Pajonk Frank-Gerald verfasserin aut Pollmächer Thomas verfasserin aut Schneider Udo verfasserin aut Schwarz Hans-Joachim verfasserin aut Kröner-Herwig Birgit verfasserin aut Havemann-Reinecke Ursula verfasserin aut Frahm Jens verfasserin aut Stühmer Walter verfasserin aut Falkai Peter verfasserin aut Brose Nils verfasserin aut Nave Klaus-Armin verfasserin aut Ehrenreich Hannelore verfasserin aut In BMC Psychiatry BMC, 2003 10(2010), 1, p 91 (DE-627)331018799 (DE-600)2050438-X 1471244X nnns volume:10 year:2010 number:1, p 91 https://doi.org/10.1186/1471-244X-10-91 kostenfrei https://doaj.org/article/e45eb6fbb33d4cc7b4c57357cb76eaf3 kostenfrei http://www.biomedcentral.com/1471-244X/10/91 kostenfrei https://doaj.org/toc/1471-244X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2010 1, p 91 |
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10.1186/1471-244X-10-91 doi (DE-627)DOAJ021603200 (DE-599)DOAJe45eb6fbb33d4cc7b4c57357cb76eaf3 DE-627 ger DE-627 rakwb eng RC435-571 Oestereich Cornelia verfasserin aut The cross-sectional GRAS sample: <it<A comprehensive phenotypical data collection of schizophrenic patients</it< 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<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.</p< <p<Methods</p< <p<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.</p< <p<Results</p< <p<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.</p< <p<Conclusions</p< <p<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.</p< Psychiatry Müller-Isberner Rüdiger verfasserin aut Mielke Andreas verfasserin aut Maier Wolfgang verfasserin aut Löhrer Frank verfasserin aut Franz Michael verfasserin aut Kunze Heinrich verfasserin aut Kruse Gunther verfasserin aut Hesse Dirk verfasserin aut Herpertz Sabine verfasserin aut Günther Rolf verfasserin aut Freese Roland verfasserin aut Folkerts Here verfasserin aut Dose Matthias verfasserin aut Czernik Adelheid verfasserin aut Becker Thomas verfasserin aut Becker-Emner Marianne verfasserin aut Aldenhoff Josef B verfasserin aut Adler Lothar verfasserin aut Flögel Marlene verfasserin aut Treitz Annika verfasserin aut Tarami Asieh verfasserin aut Ackermann Verena verfasserin aut Gerchen Martin F verfasserin aut Kästner Anne verfasserin aut Papiol Sergi verfasserin aut Grube Sabrina verfasserin aut Begemann Martin verfasserin aut Friedrichs Heidi verfasserin aut Ribbe Katja verfasserin aut Pajonk Frank-Gerald verfasserin aut Pollmächer Thomas verfasserin aut Schneider Udo verfasserin aut Schwarz Hans-Joachim verfasserin aut Kröner-Herwig Birgit verfasserin aut Havemann-Reinecke Ursula verfasserin aut Frahm Jens verfasserin aut Stühmer Walter verfasserin aut Falkai Peter verfasserin aut Brose Nils verfasserin aut Nave Klaus-Armin verfasserin aut Ehrenreich Hannelore verfasserin aut In BMC Psychiatry BMC, 2003 10(2010), 1, p 91 (DE-627)331018799 (DE-600)2050438-X 1471244X nnns volume:10 year:2010 number:1, p 91 https://doi.org/10.1186/1471-244X-10-91 kostenfrei https://doaj.org/article/e45eb6fbb33d4cc7b4c57357cb76eaf3 kostenfrei http://www.biomedcentral.com/1471-244X/10/91 kostenfrei https://doaj.org/toc/1471-244X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2010 1, p 91 |
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10.1186/1471-244X-10-91 doi (DE-627)DOAJ021603200 (DE-599)DOAJe45eb6fbb33d4cc7b4c57357cb76eaf3 DE-627 ger DE-627 rakwb eng RC435-571 Oestereich Cornelia verfasserin aut The cross-sectional GRAS sample: <it<A comprehensive phenotypical data collection of schizophrenic patients</it< 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<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.</p< <p<Methods</p< <p<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.</p< <p<Results</p< <p<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.</p< <p<Conclusions</p< <p<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.</p< Psychiatry Müller-Isberner Rüdiger verfasserin aut Mielke Andreas verfasserin aut Maier Wolfgang verfasserin aut Löhrer Frank verfasserin aut Franz Michael verfasserin aut Kunze Heinrich verfasserin aut Kruse Gunther verfasserin aut Hesse Dirk verfasserin aut Herpertz Sabine verfasserin aut Günther Rolf verfasserin aut Freese Roland verfasserin aut Folkerts Here verfasserin aut Dose Matthias verfasserin aut Czernik Adelheid verfasserin aut Becker Thomas verfasserin aut Becker-Emner Marianne verfasserin aut Aldenhoff Josef B verfasserin aut Adler Lothar verfasserin aut Flögel Marlene verfasserin aut Treitz Annika verfasserin aut Tarami Asieh verfasserin aut Ackermann Verena verfasserin aut Gerchen Martin F verfasserin aut Kästner Anne verfasserin aut Papiol Sergi verfasserin aut Grube Sabrina verfasserin aut Begemann Martin verfasserin aut Friedrichs Heidi verfasserin aut Ribbe Katja verfasserin aut Pajonk Frank-Gerald verfasserin aut Pollmächer Thomas verfasserin aut Schneider Udo verfasserin aut Schwarz Hans-Joachim verfasserin aut Kröner-Herwig Birgit verfasserin aut Havemann-Reinecke Ursula verfasserin aut Frahm Jens verfasserin aut Stühmer Walter verfasserin aut Falkai Peter verfasserin aut Brose Nils verfasserin aut Nave Klaus-Armin verfasserin aut Ehrenreich Hannelore verfasserin aut In BMC Psychiatry BMC, 2003 10(2010), 1, p 91 (DE-627)331018799 (DE-600)2050438-X 1471244X nnns volume:10 year:2010 number:1, p 91 https://doi.org/10.1186/1471-244X-10-91 kostenfrei https://doaj.org/article/e45eb6fbb33d4cc7b4c57357cb76eaf3 kostenfrei http://www.biomedcentral.com/1471-244X/10/91 kostenfrei https://doaj.org/toc/1471-244X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2010 1, p 91 |
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10.1186/1471-244X-10-91 doi (DE-627)DOAJ021603200 (DE-599)DOAJe45eb6fbb33d4cc7b4c57357cb76eaf3 DE-627 ger DE-627 rakwb eng RC435-571 Oestereich Cornelia verfasserin aut The cross-sectional GRAS sample: <it<A comprehensive phenotypical data collection of schizophrenic patients</it< 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<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.</p< <p<Methods</p< <p<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.</p< <p<Results</p< <p<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.</p< <p<Conclusions</p< <p<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.</p< Psychiatry Müller-Isberner Rüdiger verfasserin aut Mielke Andreas verfasserin aut Maier Wolfgang verfasserin aut Löhrer Frank verfasserin aut Franz Michael verfasserin aut Kunze Heinrich verfasserin aut Kruse Gunther verfasserin aut Hesse Dirk verfasserin aut Herpertz Sabine verfasserin aut Günther Rolf verfasserin aut Freese Roland verfasserin aut Folkerts Here verfasserin aut Dose Matthias verfasserin aut Czernik Adelheid verfasserin aut Becker Thomas verfasserin aut Becker-Emner Marianne verfasserin aut Aldenhoff Josef B verfasserin aut Adler Lothar verfasserin aut Flögel Marlene verfasserin aut Treitz Annika verfasserin aut Tarami Asieh verfasserin aut Ackermann Verena verfasserin aut Gerchen Martin F verfasserin aut Kästner Anne verfasserin aut Papiol Sergi verfasserin aut Grube Sabrina verfasserin aut Begemann Martin verfasserin aut Friedrichs Heidi verfasserin aut Ribbe Katja verfasserin aut Pajonk Frank-Gerald verfasserin aut Pollmächer Thomas verfasserin aut Schneider Udo verfasserin aut Schwarz Hans-Joachim verfasserin aut Kröner-Herwig Birgit verfasserin aut Havemann-Reinecke Ursula verfasserin aut Frahm Jens verfasserin aut Stühmer Walter verfasserin aut Falkai Peter verfasserin aut Brose Nils verfasserin aut Nave Klaus-Armin verfasserin aut Ehrenreich Hannelore verfasserin aut In BMC Psychiatry BMC, 2003 10(2010), 1, p 91 (DE-627)331018799 (DE-600)2050438-X 1471244X nnns volume:10 year:2010 number:1, p 91 https://doi.org/10.1186/1471-244X-10-91 kostenfrei https://doaj.org/article/e45eb6fbb33d4cc7b4c57357cb76eaf3 kostenfrei http://www.biomedcentral.com/1471-244X/10/91 kostenfrei https://doaj.org/toc/1471-244X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2010 1, p 91 |
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10.1186/1471-244X-10-91 doi (DE-627)DOAJ021603200 (DE-599)DOAJe45eb6fbb33d4cc7b4c57357cb76eaf3 DE-627 ger DE-627 rakwb eng RC435-571 Oestereich Cornelia verfasserin aut The cross-sectional GRAS sample: <it<A comprehensive phenotypical data collection of schizophrenic patients</it< 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<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.</p< <p<Methods</p< <p<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.</p< <p<Results</p< <p<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.</p< <p<Conclusions</p< <p<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.</p< Psychiatry Müller-Isberner Rüdiger verfasserin aut Mielke Andreas verfasserin aut Maier Wolfgang verfasserin aut Löhrer Frank verfasserin aut Franz Michael verfasserin aut Kunze Heinrich verfasserin aut Kruse Gunther verfasserin aut Hesse Dirk verfasserin aut Herpertz Sabine verfasserin aut Günther Rolf verfasserin aut Freese Roland verfasserin aut Folkerts Here verfasserin aut Dose Matthias verfasserin aut Czernik Adelheid verfasserin aut Becker Thomas verfasserin aut Becker-Emner Marianne verfasserin aut Aldenhoff Josef B verfasserin aut Adler Lothar verfasserin aut Flögel Marlene verfasserin aut Treitz Annika verfasserin aut Tarami Asieh verfasserin aut Ackermann Verena verfasserin aut Gerchen Martin F verfasserin aut Kästner Anne verfasserin aut Papiol Sergi verfasserin aut Grube Sabrina verfasserin aut Begemann Martin verfasserin aut Friedrichs Heidi verfasserin aut Ribbe Katja verfasserin aut Pajonk Frank-Gerald verfasserin aut Pollmächer Thomas verfasserin aut Schneider Udo verfasserin aut Schwarz Hans-Joachim verfasserin aut Kröner-Herwig Birgit verfasserin aut Havemann-Reinecke Ursula verfasserin aut Frahm Jens verfasserin aut Stühmer Walter verfasserin aut Falkai Peter verfasserin aut Brose Nils verfasserin aut Nave Klaus-Armin verfasserin aut Ehrenreich Hannelore verfasserin aut In BMC Psychiatry BMC, 2003 10(2010), 1, p 91 (DE-627)331018799 (DE-600)2050438-X 1471244X nnns volume:10 year:2010 number:1, p 91 https://doi.org/10.1186/1471-244X-10-91 kostenfrei https://doaj.org/article/e45eb6fbb33d4cc7b4c57357cb76eaf3 kostenfrei http://www.biomedcentral.com/1471-244X/10/91 kostenfrei https://doaj.org/toc/1471-244X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2010 1, p 91 |
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Oestereich Cornelia @@aut@@ Müller-Isberner Rüdiger @@aut@@ Mielke Andreas @@aut@@ Maier Wolfgang @@aut@@ Löhrer Frank @@aut@@ Franz Michael @@aut@@ Kunze Heinrich @@aut@@ Kruse Gunther @@aut@@ Hesse Dirk @@aut@@ Herpertz Sabine @@aut@@ Günther Rolf @@aut@@ Freese Roland @@aut@@ Folkerts Here @@aut@@ Dose Matthias @@aut@@ Czernik Adelheid @@aut@@ Becker Thomas @@aut@@ Becker-Emner Marianne @@aut@@ Aldenhoff Josef B @@aut@@ Adler Lothar @@aut@@ Flögel Marlene @@aut@@ Treitz Annika @@aut@@ Tarami Asieh @@aut@@ Ackermann Verena @@aut@@ Gerchen Martin F @@aut@@ Kästner Anne @@aut@@ Papiol Sergi @@aut@@ Grube Sabrina @@aut@@ Begemann Martin @@aut@@ Friedrichs Heidi @@aut@@ Ribbe Katja @@aut@@ Pajonk Frank-Gerald @@aut@@ Pollmächer Thomas @@aut@@ Schneider Udo @@aut@@ Schwarz Hans-Joachim @@aut@@ Kröner-Herwig Birgit @@aut@@ Havemann-Reinecke Ursula @@aut@@ Frahm Jens @@aut@@ Stühmer Walter @@aut@@ Falkai Peter @@aut@@ Brose Nils @@aut@@ Nave Klaus-Armin @@aut@@ Ehrenreich Hannelore @@aut@@ |
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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.</p< <p<Methods</p< <p<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. 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The cross-sectional GRAS sample: <it<A comprehensive phenotypical data collection of schizophrenic patients</it< |
| abstract |
<p<Abstract</p< <p<Background</p< <p<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.</p< <p<Methods</p< <p<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.</p< <p<Results</p< <p<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.</p< <p<Conclusions</p< <p<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.</p< |
| abstractGer |
<p<Abstract</p< <p<Background</p< <p<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.</p< <p<Methods</p< <p<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.</p< <p<Results</p< <p<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.</p< <p<Conclusions</p< <p<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.</p< |
| abstract_unstemmed |
<p<Abstract</p< <p<Background</p< <p<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.</p< <p<Methods</p< <p<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.</p< <p<Results</p< <p<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.</p< <p<Conclusions</p< <p<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.</p< |
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1, p 91 |
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The cross-sectional GRAS sample: <it<A comprehensive phenotypical data collection of schizophrenic patients</it< |
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https://doi.org/10.1186/1471-244X-10-91 https://doaj.org/article/e45eb6fbb33d4cc7b4c57357cb76eaf3 http://www.biomedcentral.com/1471-244X/10/91 https://doaj.org/toc/1471-244X |
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Müller-Isberner Rüdiger Mielke Andreas Maier Wolfgang Löhrer Frank Franz Michael Kunze Heinrich Kruse Gunther Hesse Dirk Herpertz Sabine Günther Rolf Freese Roland Folkerts Here Dose Matthias Czernik Adelheid Becker Thomas Becker-Emner Marianne Aldenhoff Josef B Adler Lothar Flögel Marlene Treitz Annika Tarami Asieh Ackermann Verena Gerchen Martin F Kästner Anne Papiol Sergi Grube Sabrina Begemann Martin Friedrichs Heidi Ribbe Katja 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 |
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Müller-Isberner Rüdiger Mielke Andreas Maier Wolfgang Löhrer Frank Franz Michael Kunze Heinrich Kruse Gunther Hesse Dirk Herpertz Sabine Günther Rolf Freese Roland Folkerts Here Dose Matthias Czernik Adelheid Becker Thomas Becker-Emner Marianne Aldenhoff Josef B Adler Lothar Flögel Marlene Treitz Annika Tarami Asieh Ackermann Verena Gerchen Martin F Kästner Anne Papiol Sergi Grube Sabrina Begemann Martin Friedrichs Heidi Ribbe Katja 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 |
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10.1186/1471-244X-10-91 |
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2024-07-03T21:49:10.135Z |
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| score |
7.397746 |