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1. Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium

Author: Smart, Sophie E., Agbedjro, Deborah, Pardiñas, Antonio F., Ajnakina, Olesya, Alameda, Luis, Andreassen, Ole A., Barnes, Thomas R.E., Berardi, Domenico, Camporesi, Sara, Cleusix, Martine, Conus, Philippe, Crespo-Facorro, Benedicto, D'Andrea, Giuseppe, Demjaha, Arsime, Di Forti, Marta, Do, Kim, Doody, Gillian, Eap, Chin B., Ferchiou, Aziz, Guidi, Lorenzo, Homman, Lina, Jenni, Raoul, Joyce, Eileen, Kassoumeri, Laura, Lastrina, Ornella, Melle, Ingrid, Morgan, Craig, O'Neill, Francis A., Pignon, Baptiste, Restellini, Romeo, Richard, Jean-Romain, Simonsen, Carmen, Španiel, Filip, Szöke, Andrei, Tarricone, Ilaria, Tortelli, Andrea, Üçok, Alp, Vázquez-Bourgon, Javier, Murray, Robin M., Walters, James T.R., Stahl, Daniel, MacCabe, James H., Smart, Sophie E., Agbedjro, Deborah, Pardiñas, Antonio F., Ajnakina, Olesya, Alameda, Luis, Andreassen, Ole A., Barnes, Thomas R.E., Berardi, Domenico, Camporesi, Sara, Cleusix, Martine, Conus, Philippe, Crespo-Facorro, Benedicto, D'Andrea, Giuseppe, Demjaha, Arsime, Di Forti, Marta, Do, Kim, Doody, Gillian, Eap, Chin B., Ferchiou, Aziz, Guidi, Lorenzo, Homman, Lina, Jenni, Raoul, Joyce, Eileen, Kassoumeri, Laura, Lastrina, Ornella, Melle, Ingrid, Morgan, Craig, O'Neill, Francis A., Pignon, Baptiste, Restellini, Romeo, Richard, Jean-Romain, Simonsen, Carmen, Španiel, Filip, Szöke, Andrei, Tarricone, Ilaria, Tortelli, Andrea, Üçok, Alp, Vázquez-Bourgon, Javier, Murray, Robin M., Walters, James T.R., Stahl, Daniel, and MacCabe, James H.
Abstract: Introduction Our aim was to, firstly, identify characteristics at first-episode of psychosis that are associated with later antipsychotic treatment resistance (TR) and, secondly, to develop a parsimonious prediction model for TR. Methods We combined data from ten prospective, first-episode psychosis cohorts from across Europe and categorised patients as TR or non-treatment resistant (NTR) after a mean follow up of 4.18 years (s.d. = 3.20) for secondary data analysis. We identified a list of potential predictors from clinical and demographic data recorded at first-episode. These potential predictors were entered in two models: a multivariable logistic regression to identify which were independently associated with TR and a penalised logistic regression, which performed variable selection, to produce a parsimonious prediction model. This model was internally validated using a 5-fold, 50-repeat cross-validation optimism-correction. Results Our sample consisted of N = 2216 participants of which 385 (17 %) developed TR. Younger age of psychosis onset and fewer years in education were independently associated with increased odds of developing TR. The prediction model selected 7 out of 17 variables that, when combined, could quantify the risk of being TR better than chance. These included age of onset, years in education, gender, BMI, relationship status, alcohol use, and positive symptoms. The optimism-corrected area under the curve was 0.59 (accuracy = 64 %, sensitivity = 48 %, and specificity = 76 %). Implications Our findings show that treatment resistance can be predicted, at first-episode of psychosis. Pending a model update and external validation, we demonstrate the potential value of prediction models for TR., Funding: Medical Research Council [MR/L011794/1]; National Institute for Health Research Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust; Kings College London; Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London at Kings College Hospital National Health Service Foundation Trust; UK Medical Research Council [G0500817]; Research and Development Office of Northern Ireland; European Communitys Seventh Framework Program [HEALTH-F2-2010-241909]; UK National Institute of Health Research (NIHR) Specialist Biomedical Research Centre for Mental Health, South London and Maudsley NHS Mental Health Foundation Trust (SLaM); Institute of Psychiatry, Psychology, and Neuroscience at Kings College London; Psychiatry Research Trust; Maudsley Charity Research Fund; European Community [HEALTH-F2-2010-241909, HEALTH-F2-2009-241909]; Swiss National Science Foundation [320030_135736/1, 320030120686, 324730-144064, 320030-173211, 171804]; National Center of Competence in Research (NCCR) "SYNAPSY - The Synaptic Bases of Mental Diseases" from the Swiss National Science Foundation [51AU40_125759]; Fondation Alamaya; Research Council of Norway [223273/F50, 300309, 283798]; South-Eastern Norway Regional Health Authority [2006233, 2006258, 2011085, 2014102, 2015088, 2017-112]; Ministry of Health of the Czech Republic [NU20-04-00393]; Instituto de Salud Carlos III [FIS 00/3095, PI020499, PI050427, PI060507]; Plan Nacional de Drogas Research Grant [2005-Orden sco/3246/2004]; SENY Fundatio Research Grant [CI 2005-0308007]; Fundacion Marques de Valdecilla [A/02/07, API07/011]; MINECO [SAF2016-76046-R, SAF2013-46292-R]; FEDER [SAF2016-76046-R, SAF2013-46292-R]; Wellcome Trust [042025, 052247, 064607]
Published: 2022
Full Text: View/download PDF

2. Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium

Author: Smart, Sophie E., Agbedjro, Deborah, Pardiñas, Antonio F., Ajnakina, Olesya, Alameda, Luis, Andreassen, Ole A., Barnes, Thomas R.E., Berardi, Domenico, Camporesi, Sara, Cleusix, Martine, Conus, Philippe, Crespo-Facorro, Benedicto, D'Andrea, Giuseppe, Demjaha, Arsime, Di Forti, Marta, Do, Kim, Doody, Gillian, Eap, Chin B., Ferchiou, Aziz, Guidi, Lorenzo, Homman, Lina, Jenni, Raoul, Joyce, Eileen, Kassoumeri, Laura, Lastrina, Ornella, Melle, Ingrid, Morgan, Craig, O'Neill, Francis A., Pignon, Baptiste, Restellini, Romeo, Richard, Jean-Romain, Simonsen, Carmen, Španiel, Filip, Szöke, Andrei, Tarricone, Ilaria, Tortelli, Andrea, Üçok, Alp, Vázquez-Bourgon, Javier, Murray, Robin M., Walters, James T.R., Stahl, Daniel, MacCabe, James H., Smart, Sophie E., Agbedjro, Deborah, Pardiñas, Antonio F., Ajnakina, Olesya, Alameda, Luis, Andreassen, Ole A., Barnes, Thomas R.E., Berardi, Domenico, Camporesi, Sara, Cleusix, Martine, Conus, Philippe, Crespo-Facorro, Benedicto, D'Andrea, Giuseppe, Demjaha, Arsime, Di Forti, Marta, Do, Kim, Doody, Gillian, Eap, Chin B., Ferchiou, Aziz, Guidi, Lorenzo, Homman, Lina, Jenni, Raoul, Joyce, Eileen, Kassoumeri, Laura, Lastrina, Ornella, Melle, Ingrid, Morgan, Craig, O'Neill, Francis A., Pignon, Baptiste, Restellini, Romeo, Richard, Jean-Romain, Simonsen, Carmen, Španiel, Filip, Szöke, Andrei, Tarricone, Ilaria, Tortelli, Andrea, Üçok, Alp, Vázquez-Bourgon, Javier, Murray, Robin M., Walters, James T.R., Stahl, Daniel, and MacCabe, James H.
Abstract: Introduction Our aim was to, firstly, identify characteristics at first-episode of psychosis that are associated with later antipsychotic treatment resistance (TR) and, secondly, to develop a parsimonious prediction model for TR. Methods We combined data from ten prospective, first-episode psychosis cohorts from across Europe and categorised patients as TR or non-treatment resistant (NTR) after a mean follow up of 4.18 years (s.d. = 3.20) for secondary data analysis. We identified a list of potential predictors from clinical and demographic data recorded at first-episode. These potential predictors were entered in two models: a multivariable logistic regression to identify which were independently associated with TR and a penalised logistic regression, which performed variable selection, to produce a parsimonious prediction model. This model was internally validated using a 5-fold, 50-repeat cross-validation optimism-correction. Results Our sample consisted of N = 2216 participants of which 385 (17 %) developed TR. Younger age of psychosis onset and fewer years in education were independently associated with increased odds of developing TR. The prediction model selected 7 out of 17 variables that, when combined, could quantify the risk of being TR better than chance. These included age of onset, years in education, gender, BMI, relationship status, alcohol use, and positive symptoms. The optimism-corrected area under the curve was 0.59 (accuracy = 64 %, sensitivity = 48 %, and specificity = 76 %). Implications Our findings show that treatment resistance can be predicted, at first-episode of psychosis. Pending a model update and external validation, we demonstrate the potential value of prediction models for TR., Funding: Medical Research Council [MR/L011794/1]; National Institute for Health Research Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust; Kings College London; Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London at Kings College Hospital National Health Service Foundation Trust; UK Medical Research Council [G0500817]; Research and Development Office of Northern Ireland; European Communitys Seventh Framework Program [HEALTH-F2-2010-241909]; UK National Institute of Health Research (NIHR) Specialist Biomedical Research Centre for Mental Health, South London and Maudsley NHS Mental Health Foundation Trust (SLaM); Institute of Psychiatry, Psychology, and Neuroscience at Kings College London; Psychiatry Research Trust; Maudsley Charity Research Fund; European Community [HEALTH-F2-2010-241909, HEALTH-F2-2009-241909]; Swiss National Science Foundation [320030_135736/1, 320030120686, 324730-144064, 320030-173211, 171804]; National Center of Competence in Research (NCCR) "SYNAPSY - The Synaptic Bases of Mental Diseases" from the Swiss National Science Foundation [51AU40_125759]; Fondation Alamaya; Research Council of Norway [223273/F50, 300309, 283798]; South-Eastern Norway Regional Health Authority [2006233, 2006258, 2011085, 2014102, 2015088, 2017-112]; Ministry of Health of the Czech Republic [NU20-04-00393]; Instituto de Salud Carlos III [FIS 00/3095, PI020499, PI050427, PI060507]; Plan Nacional de Drogas Research Grant [2005-Orden sco/3246/2004]; SENY Fundatio Research Grant [CI 2005-0308007]; Fundacion Marques de Valdecilla [A/02/07, API07/011]; MINECO [SAF2016-76046-R, SAF2013-46292-R]; FEDER [SAF2016-76046-R, SAF2013-46292-R]; Wellcome Trust [042025, 052247, 064607]
Published: 2022
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3. Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium

Author: Smart, Sophie E., Agbedjro, Deborah, Pardiñas, Antonio F., Ajnakina, Olesya, Alameda, Luis, Andreassen, Ole A., Barnes, Thomas R.E., Berardi, Domenico, Camporesi, Sara, Cleusix, Martine, Conus, Philippe, Crespo-Facorro, Benedicto, D'Andrea, Giuseppe, Demjaha, Arsime, Di Forti, Marta, Do, Kim, Doody, Gillian, Eap, Chin B., Ferchiou, Aziz, Guidi, Lorenzo, Homman, Lina, Jenni, Raoul, Joyce, Eileen, Kassoumeri, Laura, Lastrina, Ornella, Melle, Ingrid, Morgan, Craig, O'Neill, Francis A., Pignon, Baptiste, Restellini, Romeo, Richard, Jean-Romain, Simonsen, Carmen, Španiel, Filip, Szöke, Andrei, Tarricone, Ilaria, Tortelli, Andrea, Üçok, Alp, Vázquez-Bourgon, Javier, Murray, Robin M., Walters, James T.R., Stahl, Daniel, MacCabe, James H., Smart, Sophie E., Agbedjro, Deborah, Pardiñas, Antonio F., Ajnakina, Olesya, Alameda, Luis, Andreassen, Ole A., Barnes, Thomas R.E., Berardi, Domenico, Camporesi, Sara, Cleusix, Martine, Conus, Philippe, Crespo-Facorro, Benedicto, D'Andrea, Giuseppe, Demjaha, Arsime, Di Forti, Marta, Do, Kim, Doody, Gillian, Eap, Chin B., Ferchiou, Aziz, Guidi, Lorenzo, Homman, Lina, Jenni, Raoul, Joyce, Eileen, Kassoumeri, Laura, Lastrina, Ornella, Melle, Ingrid, Morgan, Craig, O'Neill, Francis A., Pignon, Baptiste, Restellini, Romeo, Richard, Jean-Romain, Simonsen, Carmen, Španiel, Filip, Szöke, Andrei, Tarricone, Ilaria, Tortelli, Andrea, Üçok, Alp, Vázquez-Bourgon, Javier, Murray, Robin M., Walters, James T.R., Stahl, Daniel, and MacCabe, James H.
Abstract: Introduction Our aim was to, firstly, identify characteristics at first-episode of psychosis that are associated with later antipsychotic treatment resistance (TR) and, secondly, to develop a parsimonious prediction model for TR. Methods We combined data from ten prospective, first-episode psychosis cohorts from across Europe and categorised patients as TR or non-treatment resistant (NTR) after a mean follow up of 4.18 years (s.d. = 3.20) for secondary data analysis. We identified a list of potential predictors from clinical and demographic data recorded at first-episode. These potential predictors were entered in two models: a multivariable logistic regression to identify which were independently associated with TR and a penalised logistic regression, which performed variable selection, to produce a parsimonious prediction model. This model was internally validated using a 5-fold, 50-repeat cross-validation optimism-correction. Results Our sample consisted of N = 2216 participants of which 385 (17 %) developed TR. Younger age of psychosis onset and fewer years in education were independently associated with increased odds of developing TR. The prediction model selected 7 out of 17 variables that, when combined, could quantify the risk of being TR better than chance. These included age of onset, years in education, gender, BMI, relationship status, alcohol use, and positive symptoms. The optimism-corrected area under the curve was 0.59 (accuracy = 64 %, sensitivity = 48 %, and specificity = 76 %). Implications Our findings show that treatment resistance can be predicted, at first-episode of psychosis. Pending a model update and external validation, we demonstrate the potential value of prediction models for TR., Funding: Medical Research Council [MR/L011794/1]; National Institute for Health Research Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust; Kings College London; Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London at Kings College Hospital National Health Service Foundation Trust; UK Medical Research Council [G0500817]; Research and Development Office of Northern Ireland; European Communitys Seventh Framework Program [HEALTH-F2-2010-241909]; UK National Institute of Health Research (NIHR) Specialist Biomedical Research Centre for Mental Health, South London and Maudsley NHS Mental Health Foundation Trust (SLaM); Institute of Psychiatry, Psychology, and Neuroscience at Kings College London; Psychiatry Research Trust; Maudsley Charity Research Fund; European Community [HEALTH-F2-2010-241909, HEALTH-F2-2009-241909]; Swiss National Science Foundation [320030_135736/1, 320030120686, 324730-144064, 320030-173211, 171804]; National Center of Competence in Research (NCCR) "SYNAPSY - The Synaptic Bases of Mental Diseases" from the Swiss National Science Foundation [51AU40_125759]; Fondation Alamaya; Research Council of Norway [223273/F50, 300309, 283798]; South-Eastern Norway Regional Health Authority [2006233, 2006258, 2011085, 2014102, 2015088, 2017-112]; Ministry of Health of the Czech Republic [NU20-04-00393]; Instituto de Salud Carlos III [FIS 00/3095, PI020499, PI050427, PI060507]; Plan Nacional de Drogas Research Grant [2005-Orden sco/3246/2004]; SENY Fundatio Research Grant [CI 2005-0308007]; Fundacion Marques de Valdecilla [A/02/07, API07/011]; MINECO [SAF2016-76046-R, SAF2013-46292-R]; FEDER [SAF2016-76046-R, SAF2013-46292-R]; Wellcome Trust [042025, 052247, 064607]
Published: 2022
Full Text: View/download PDF

4. Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium

Author: Smart, Sophie E., Agbedjro, Deborah, Pardiñas, Antonio F., Ajnakina, Olesya, Alameda, Luis, Andreassen, Ole A., Barnes, Thomas R.E., Berardi, Domenico, Camporesi, Sara, Cleusix, Martine, Conus, Philippe, Crespo-Facorro, Benedicto, D'Andrea, Giuseppe, Demjaha, Arsime, Di Forti, Marta, Do, Kim, Doody, Gillian, Eap, Chin B., Ferchiou, Aziz, Guidi, Lorenzo, Homman, Lina, Jenni, Raoul, Joyce, Eileen, Kassoumeri, Laura, Lastrina, Ornella, Melle, Ingrid, Morgan, Craig, O'Neill, Francis A., Pignon, Baptiste, Restellini, Romeo, Richard, Jean-Romain, Simonsen, Carmen, Španiel, Filip, Szöke, Andrei, Tarricone, Ilaria, Tortelli, Andrea, Üçok, Alp, Vázquez-Bourgon, Javier, Murray, Robin M., Walters, James T.R., Stahl, Daniel, MacCabe, James H., Smart, Sophie E., Agbedjro, Deborah, Pardiñas, Antonio F., Ajnakina, Olesya, Alameda, Luis, Andreassen, Ole A., Barnes, Thomas R.E., Berardi, Domenico, Camporesi, Sara, Cleusix, Martine, Conus, Philippe, Crespo-Facorro, Benedicto, D'Andrea, Giuseppe, Demjaha, Arsime, Di Forti, Marta, Do, Kim, Doody, Gillian, Eap, Chin B., Ferchiou, Aziz, Guidi, Lorenzo, Homman, Lina, Jenni, Raoul, Joyce, Eileen, Kassoumeri, Laura, Lastrina, Ornella, Melle, Ingrid, Morgan, Craig, O'Neill, Francis A., Pignon, Baptiste, Restellini, Romeo, Richard, Jean-Romain, Simonsen, Carmen, Španiel, Filip, Szöke, Andrei, Tarricone, Ilaria, Tortelli, Andrea, Üçok, Alp, Vázquez-Bourgon, Javier, Murray, Robin M., Walters, James T.R., Stahl, Daniel, and MacCabe, James H.
Abstract: Introduction Our aim was to, firstly, identify characteristics at first-episode of psychosis that are associated with later antipsychotic treatment resistance (TR) and, secondly, to develop a parsimonious prediction model for TR. Methods We combined data from ten prospective, first-episode psychosis cohorts from across Europe and categorised patients as TR or non-treatment resistant (NTR) after a mean follow up of 4.18 years (s.d. = 3.20) for secondary data analysis. We identified a list of potential predictors from clinical and demographic data recorded at first-episode. These potential predictors were entered in two models: a multivariable logistic regression to identify which were independently associated with TR and a penalised logistic regression, which performed variable selection, to produce a parsimonious prediction model. This model was internally validated using a 5-fold, 50-repeat cross-validation optimism-correction. Results Our sample consisted of N = 2216 participants of which 385 (17 %) developed TR. Younger age of psychosis onset and fewer years in education were independently associated with increased odds of developing TR. The prediction model selected 7 out of 17 variables that, when combined, could quantify the risk of being TR better than chance. These included age of onset, years in education, gender, BMI, relationship status, alcohol use, and positive symptoms. The optimism-corrected area under the curve was 0.59 (accuracy = 64 %, sensitivity = 48 %, and specificity = 76 %). Implications Our findings show that treatment resistance can be predicted, at first-episode of psychosis. Pending a model update and external validation, we demonstrate the potential value of prediction models for TR., Funding: Medical Research Council [MR/L011794/1]; National Institute for Health Research Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust; Kings College London; Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London at Kings College Hospital National Health Service Foundation Trust; UK Medical Research Council [G0500817]; Research and Development Office of Northern Ireland; European Communitys Seventh Framework Program [HEALTH-F2-2010-241909]; UK National Institute of Health Research (NIHR) Specialist Biomedical Research Centre for Mental Health, South London and Maudsley NHS Mental Health Foundation Trust (SLaM); Institute of Psychiatry, Psychology, and Neuroscience at Kings College London; Psychiatry Research Trust; Maudsley Charity Research Fund; European Community [HEALTH-F2-2010-241909, HEALTH-F2-2009-241909]; Swiss National Science Foundation [320030_135736/1, 320030120686, 324730-144064, 320030-173211, 171804]; National Center of Competence in Research (NCCR) "SYNAPSY - The Synaptic Bases of Mental Diseases" from the Swiss National Science Foundation [51AU40_125759]; Fondation Alamaya; Research Council of Norway [223273/F50, 300309, 283798]; South-Eastern Norway Regional Health Authority [2006233, 2006258, 2011085, 2014102, 2015088, 2017-112]; Ministry of Health of the Czech Republic [NU20-04-00393]; Instituto de Salud Carlos III [FIS 00/3095, PI020499, PI050427, PI060507]; Plan Nacional de Drogas Research Grant [2005-Orden sco/3246/2004]; SENY Fundatio Research Grant [CI 2005-0308007]; Fundacion Marques de Valdecilla [A/02/07, API07/011]; MINECO [SAF2016-76046-R, SAF2013-46292-R]; FEDER [SAF2016-76046-R, SAF2013-46292-R]; Wellcome Trust [042025, 052247, 064607]
Published: 2022
Full Text: View/download PDF

5. Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium

Author: Smart, Sophie E., Agbedjro, Deborah, Pardiñas, Antonio F., Ajnakina, Olesya, Alameda, Luis, Andreassen, Ole A., Barnes, Thomas R.E., Berardi, Domenico, Camporesi, Sara, Cleusix, Martine, Conus, Philippe, Crespo-Facorro, Benedicto, D'Andrea, Giuseppe, Demjaha, Arsime, Di Forti, Marta, Do, Kim, Doody, Gillian, Eap, Chin B., Ferchiou, Aziz, Guidi, Lorenzo, Homman, Lina, Jenni, Raoul, Joyce, Eileen, Kassoumeri, Laura, Lastrina, Ornella, Melle, Ingrid, Morgan, Craig, O'Neill, Francis A., Pignon, Baptiste, Restellini, Romeo, Richard, Jean-Romain, Simonsen, Carmen, Španiel, Filip, Szöke, Andrei, Tarricone, Ilaria, Tortelli, Andrea, Üçok, Alp, Vázquez-Bourgon, Javier, Murray, Robin M., Walters, James T.R., Stahl, Daniel, MacCabe, James H., Smart, Sophie E., Agbedjro, Deborah, Pardiñas, Antonio F., Ajnakina, Olesya, Alameda, Luis, Andreassen, Ole A., Barnes, Thomas R.E., Berardi, Domenico, Camporesi, Sara, Cleusix, Martine, Conus, Philippe, Crespo-Facorro, Benedicto, D'Andrea, Giuseppe, Demjaha, Arsime, Di Forti, Marta, Do, Kim, Doody, Gillian, Eap, Chin B., Ferchiou, Aziz, Guidi, Lorenzo, Homman, Lina, Jenni, Raoul, Joyce, Eileen, Kassoumeri, Laura, Lastrina, Ornella, Melle, Ingrid, Morgan, Craig, O'Neill, Francis A., Pignon, Baptiste, Restellini, Romeo, Richard, Jean-Romain, Simonsen, Carmen, Španiel, Filip, Szöke, Andrei, Tarricone, Ilaria, Tortelli, Andrea, Üçok, Alp, Vázquez-Bourgon, Javier, Murray, Robin M., Walters, James T.R., Stahl, Daniel, and MacCabe, James H.
Abstract: Introduction Our aim was to, firstly, identify characteristics at first-episode of psychosis that are associated with later antipsychotic treatment resistance (TR) and, secondly, to develop a parsimonious prediction model for TR. Methods We combined data from ten prospective, first-episode psychosis cohorts from across Europe and categorised patients as TR or non-treatment resistant (NTR) after a mean follow up of 4.18 years (s.d. = 3.20) for secondary data analysis. We identified a list of potential predictors from clinical and demographic data recorded at first-episode. These potential predictors were entered in two models: a multivariable logistic regression to identify which were independently associated with TR and a penalised logistic regression, which performed variable selection, to produce a parsimonious prediction model. This model was internally validated using a 5-fold, 50-repeat cross-validation optimism-correction. Results Our sample consisted of N = 2216 participants of which 385 (17 %) developed TR. Younger age of psychosis onset and fewer years in education were independently associated with increased odds of developing TR. The prediction model selected 7 out of 17 variables that, when combined, could quantify the risk of being TR better than chance. These included age of onset, years in education, gender, BMI, relationship status, alcohol use, and positive symptoms. The optimism-corrected area under the curve was 0.59 (accuracy = 64 %, sensitivity = 48 %, and specificity = 76 %). Implications Our findings show that treatment resistance can be predicted, at first-episode of psychosis. Pending a model update and external validation, we demonstrate the potential value of prediction models for TR., Funding: Medical Research Council [MR/L011794/1]; National Institute for Health Research Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust; Kings College London; Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London at Kings College Hospital National Health Service Foundation Trust; UK Medical Research Council [G0500817]; Research and Development Office of Northern Ireland; European Communitys Seventh Framework Program [HEALTH-F2-2010-241909]; UK National Institute of Health Research (NIHR) Specialist Biomedical Research Centre for Mental Health, South London and Maudsley NHS Mental Health Foundation Trust (SLaM); Institute of Psychiatry, Psychology, and Neuroscience at Kings College London; Psychiatry Research Trust; Maudsley Charity Research Fund; European Community [HEALTH-F2-2010-241909, HEALTH-F2-2009-241909]; Swiss National Science Foundation [320030_135736/1, 320030120686, 324730-144064, 320030-173211, 171804]; National Center of Competence in Research (NCCR) "SYNAPSY - The Synaptic Bases of Mental Diseases" from the Swiss National Science Foundation [51AU40_125759]; Fondation Alamaya; Research Council of Norway [223273/F50, 300309, 283798]; South-Eastern Norway Regional Health Authority [2006233, 2006258, 2011085, 2014102, 2015088, 2017-112]; Ministry of Health of the Czech Republic [NU20-04-00393]; Instituto de Salud Carlos III [FIS 00/3095, PI020499, PI050427, PI060507]; Plan Nacional de Drogas Research Grant [2005-Orden sco/3246/2004]; SENY Fundatio Research Grant [CI 2005-0308007]; Fundacion Marques de Valdecilla [A/02/07, API07/011]; MINECO [SAF2016-76046-R, SAF2013-46292-R]; FEDER [SAF2016-76046-R, SAF2013-46292-R]; Wellcome Trust [042025, 052247, 064607]
Published: 2022
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6. Attrition in longitudinal studies among patients with schizophrenia and other psychoses; findings from the STRATA collaboration

Author: Homman, Lina, Smart, Sophie, O'Neill, Francis, James, MacCabe, Homman, Lina, Smart, Sophie, O'Neill, Francis, and James, MacCabe
Abstract: A major problem with longitudinal studies is the bias generated due to attrition, particularly apparent amongst patients suffering from psychotic disorders. Factors associated with study-participation were investigated as part of a larger research collaboration (STRATA). Out of 479 eligible participants, only 50 (10,4%) were successfully followed up. The present study investigated whether study participation differed depending on baseline characteristics. Results indicated that individuals who did not participate were more likely to report an alcohol use disorder while those who did respond were more likely to have been in full-time education for longer and be of white ethnicity. Participation did not differ depending on diagnosis, symptoms, GAF, age of onset or depression.
Published: 2021

7. An ultrafast system for signaling mechanical pain in human skin

Author: Nagi, Saad S., Marshall, Andrew G., Makdani, Adarsh, Jarocka, Ewa, Liljencrantz, Jaquette, Ridderstrom, Mikael, Shaikh, Sumaiya, O'Neill, Francis, Saade, Dimah, Donkervoort, Sandra, Foley, A. Reghan, Minde, Jan, Trulsson, Mats, Cole, Jonathan, Bonnemann, Carsten G., Chesler, Alexander T., Bushnell, M. Catherine, McGlone, Francis, Olausson, Hakan, Nagi, Saad S., Marshall, Andrew G., Makdani, Adarsh, Jarocka, Ewa, Liljencrantz, Jaquette, Ridderstrom, Mikael, Shaikh, Sumaiya, O'Neill, Francis, Saade, Dimah, Donkervoort, Sandra, Foley, A. Reghan, Minde, Jan, Trulsson, Mats, Cole, Jonathan, Bonnemann, Carsten G., Chesler, Alexander T., Bushnell, M. Catherine, McGlone, Francis, and Olausson, Hakan
Abstract: The canonical view is that touch is signaled by fast-conducting, thickly myelinated afferents, whereas pain is signaled by slow-conducting, thinly myelinated (“fast” pain) or unmyelinated (“slow” pain) afferents. While other mammals have thickly myelinated afferents signaling pain (ultrafast nociceptors), these have not been demonstrated in humans. Here, we performed single-unit axonal recordings (microneurography) from cutaneous mechanoreceptive afferents in healthy participants. We identified A-fiber high-threshold mechanoreceptors (A-HTMRs) that were insensitive to gentle touch, encoded noxious skin indentations, and displayed conduction velocities similar to A-fiber low-threshold mechanoreceptors. Intraneural electrical stimulation of single ultrafast A-HTMRs evoked painful percepts. Testing in patients with selective deafferentation revealed impaired pain judgments to graded mechanical stimuli only when thickly myelinated fibers were absent. This function was preserved in patients with a loss-of-function mutation in mechanotransduction channel PIEZO2. These findings demonstrate that human mechanical pain does not require PIEZO2 and can be signaled by fast-conducting, thickly myelinated afferents.
Published: 2019
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8. An ultrafast system for signaling mechanical pain in human skin

Author: Nagi, Saad S., Marshall, Andrew G., Makdani, Adarsh, Jarocka, Ewa, Liljencrantz, Jaquette, Ridderstrom, Mikael, Shaikh, Sumaiya, O'Neill, Francis, Saade, Dimah, Donkervoort, Sandra, Foley, A. Reghan, Minde, Jan, Trulsson, Mats, Cole, Jonathan, Bonnemann, Carsten G., Chesler, Alexander T., Bushnell, M. Catherine, McGlone, Francis, Olausson, Hakan, Nagi, Saad S., Marshall, Andrew G., Makdani, Adarsh, Jarocka, Ewa, Liljencrantz, Jaquette, Ridderstrom, Mikael, Shaikh, Sumaiya, O'Neill, Francis, Saade, Dimah, Donkervoort, Sandra, Foley, A. Reghan, Minde, Jan, Trulsson, Mats, Cole, Jonathan, Bonnemann, Carsten G., Chesler, Alexander T., Bushnell, M. Catherine, McGlone, Francis, and Olausson, Hakan
Abstract: The canonical view is that touch is signaled by fast-conducting, thickly myelinated afferents, whereas pain is signaled by slow-conducting, thinly myelinated (“fast” pain) or unmyelinated (“slow” pain) afferents. While other mammals have thickly myelinated afferents signaling pain (ultrafast nociceptors), these have not been demonstrated in humans. Here, we performed single-unit axonal recordings (microneurography) from cutaneous mechanoreceptive afferents in healthy participants. We identified A-fiber high-threshold mechanoreceptors (A-HTMRs) that were insensitive to gentle touch, encoded noxious skin indentations, and displayed conduction velocities similar to A-fiber low-threshold mechanoreceptors. Intraneural electrical stimulation of single ultrafast A-HTMRs evoked painful percepts. Testing in patients with selective deafferentation revealed impaired pain judgments to graded mechanical stimuli only when thickly myelinated fibers were absent. This function was preserved in patients with a loss-of-function mutation in mechanotransduction channel PIEZO2. These findings demonstrate that human mechanical pain does not require PIEZO2 and can be signaled by fast-conducting, thickly myelinated afferents.
Published: 2019
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9. An ultrafast system for signaling mechanical pain in human skin

Author: Nagi, Saad S., Marshall, Andrew G., Makdani, Adarsh, Jarocka, Ewa, Liljencrantz, Jaquette, Ridderstrom, Mikael, Shaikh, Sumaiya, O'Neill, Francis, Saade, Dimah, Donkervoort, Sandra, Foley, A. Reghan, Minde, Jan, Trulsson, Mats, Cole, Jonathan, Bonnemann, Carsten G., Chesler, Alexander T., Bushnell, M. Catherine, McGlone, Francis, Olausson, Hakan, Nagi, Saad S., Marshall, Andrew G., Makdani, Adarsh, Jarocka, Ewa, Liljencrantz, Jaquette, Ridderstrom, Mikael, Shaikh, Sumaiya, O'Neill, Francis, Saade, Dimah, Donkervoort, Sandra, Foley, A. Reghan, Minde, Jan, Trulsson, Mats, Cole, Jonathan, Bonnemann, Carsten G., Chesler, Alexander T., Bushnell, M. Catherine, McGlone, Francis, and Olausson, Hakan
Abstract: The canonical view is that touch is signaled by fast-conducting, thickly myelinated afferents, whereas pain is signaled by slow-conducting, thinly myelinated (“fast” pain) or unmyelinated (“slow” pain) afferents. While other mammals have thickly myelinated afferents signaling pain (ultrafast nociceptors), these have not been demonstrated in humans. Here, we performed single-unit axonal recordings (microneurography) from cutaneous mechanoreceptive afferents in healthy participants. We identified A-fiber high-threshold mechanoreceptors (A-HTMRs) that were insensitive to gentle touch, encoded noxious skin indentations, and displayed conduction velocities similar to A-fiber low-threshold mechanoreceptors. Intraneural electrical stimulation of single ultrafast A-HTMRs evoked painful percepts. Testing in patients with selective deafferentation revealed impaired pain judgments to graded mechanical stimuli only when thickly myelinated fibers were absent. This function was preserved in patients with a loss-of-function mutation in mechanotransduction channel PIEZO2. These findings demonstrate that human mechanical pain does not require PIEZO2 and can be signaled by fast-conducting, thickly myelinated afferents.
Published: 2019
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10. An ultrafast system for signaling mechanical pain in human skin

Author: Nagi, Saad S., Marshall, Andrew G., Makdani, Adarsh, Jarocka, Ewa, Liljencrantz, Jaquette, Ridderstrom, Mikael, Shaikh, Sumaiya, O'Neill, Francis, Saade, Dimah, Donkervoort, Sandra, Foley, A. Reghan, Minde, Jan, Trulsson, Mats, Cole, Jonathan, Bonnemann, Carsten G., Chesler, Alexander T., Bushnell, M. Catherine, McGlone, Francis, Olausson, Hakan, Nagi, Saad S., Marshall, Andrew G., Makdani, Adarsh, Jarocka, Ewa, Liljencrantz, Jaquette, Ridderstrom, Mikael, Shaikh, Sumaiya, O'Neill, Francis, Saade, Dimah, Donkervoort, Sandra, Foley, A. Reghan, Minde, Jan, Trulsson, Mats, Cole, Jonathan, Bonnemann, Carsten G., Chesler, Alexander T., Bushnell, M. Catherine, McGlone, Francis, and Olausson, Hakan
Abstract: The canonical view is that touch is signaled by fast-conducting, thickly myelinated afferents, whereas pain is signaled by slow-conducting, thinly myelinated (“fast” pain) or unmyelinated (“slow” pain) afferents. While other mammals have thickly myelinated afferents signaling pain (ultrafast nociceptors), these have not been demonstrated in humans. Here, we performed single-unit axonal recordings (microneurography) from cutaneous mechanoreceptive afferents in healthy participants. We identified A-fiber high-threshold mechanoreceptors (A-HTMRs) that were insensitive to gentle touch, encoded noxious skin indentations, and displayed conduction velocities similar to A-fiber low-threshold mechanoreceptors. Intraneural electrical stimulation of single ultrafast A-HTMRs evoked painful percepts. Testing in patients with selective deafferentation revealed impaired pain judgments to graded mechanical stimuli only when thickly myelinated fibers were absent. This function was preserved in patients with a loss-of-function mutation in mechanotransduction channel PIEZO2. These findings demonstrate that human mechanical pain does not require PIEZO2 and can be signaled by fast-conducting, thickly myelinated afferents.
Published: 2019
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11. An ultrafast system for signaling mechanical pain in human skin

Author: Nagi, Saad S., Marshall, Andrew G., Makdani, Adarsh, Jarocka, Ewa, Liljencrantz, Jaquette, Ridderstrom, Mikael, Shaikh, Sumaiya, O'Neill, Francis, Saade, Dimah, Donkervoort, Sandra, Foley, A. Reghan, Minde, Jan, Trulsson, Mats, Cole, Jonathan, Bonnemann, Carsten G., Chesler, Alexander T., Bushnell, M. Catherine, McGlone, Francis, Olausson, Hakan, Nagi, Saad S., Marshall, Andrew G., Makdani, Adarsh, Jarocka, Ewa, Liljencrantz, Jaquette, Ridderstrom, Mikael, Shaikh, Sumaiya, O'Neill, Francis, Saade, Dimah, Donkervoort, Sandra, Foley, A. Reghan, Minde, Jan, Trulsson, Mats, Cole, Jonathan, Bonnemann, Carsten G., Chesler, Alexander T., Bushnell, M. Catherine, McGlone, Francis, and Olausson, Hakan
Abstract: The canonical view is that touch is signaled by fast-conducting, thickly myelinated afferents, whereas pain is signaled by slow-conducting, thinly myelinated (“fast” pain) or unmyelinated (“slow” pain) afferents. While other mammals have thickly myelinated afferents signaling pain (ultrafast nociceptors), these have not been demonstrated in humans. Here, we performed single-unit axonal recordings (microneurography) from cutaneous mechanoreceptive afferents in healthy participants. We identified A-fiber high-threshold mechanoreceptors (A-HTMRs) that were insensitive to gentle touch, encoded noxious skin indentations, and displayed conduction velocities similar to A-fiber low-threshold mechanoreceptors. Intraneural electrical stimulation of single ultrafast A-HTMRs evoked painful percepts. Testing in patients with selective deafferentation revealed impaired pain judgments to graded mechanical stimuli only when thickly myelinated fibers were absent. This function was preserved in patients with a loss-of-function mutation in mechanotransduction channel PIEZO2. These findings demonstrate that human mechanical pain does not require PIEZO2 and can be signaled by fast-conducting, thickly myelinated afferents.
Published: 2019
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12. An ultrafast system for signaling mechanical pain in human skin

Author: Nagi, Saad S., Marshall, Andrew G., Makdani, Adarsh, Jarocka, Ewa, Liljencrantz, Jaquette, Ridderstrom, Mikael, Shaikh, Sumaiya, O'Neill, Francis, Saade, Dimah, Donkervoort, Sandra, Foley, A. Reghan, Minde, Jan, Trulsson, Mats, Cole, Jonathan, Bonnemann, Carsten G., Chesler, Alexander T., Bushnell, M. Catherine, McGlone, Francis, Olausson, Hakan, Nagi, Saad S., Marshall, Andrew G., Makdani, Adarsh, Jarocka, Ewa, Liljencrantz, Jaquette, Ridderstrom, Mikael, Shaikh, Sumaiya, O'Neill, Francis, Saade, Dimah, Donkervoort, Sandra, Foley, A. Reghan, Minde, Jan, Trulsson, Mats, Cole, Jonathan, Bonnemann, Carsten G., Chesler, Alexander T., Bushnell, M. Catherine, McGlone, Francis, and Olausson, Hakan
Abstract: The canonical view is that touch is signaled by fast-conducting, thickly myelinated afferents, whereas pain is signaled by slow-conducting, thinly myelinated (“fast” pain) or unmyelinated (“slow” pain) afferents. While other mammals have thickly myelinated afferents signaling pain (ultrafast nociceptors), these have not been demonstrated in humans. Here, we performed single-unit axonal recordings (microneurography) from cutaneous mechanoreceptive afferents in healthy participants. We identified A-fiber high-threshold mechanoreceptors (A-HTMRs) that were insensitive to gentle touch, encoded noxious skin indentations, and displayed conduction velocities similar to A-fiber low-threshold mechanoreceptors. Intraneural electrical stimulation of single ultrafast A-HTMRs evoked painful percepts. Testing in patients with selective deafferentation revealed impaired pain judgments to graded mechanical stimuli only when thickly myelinated fibers were absent. This function was preserved in patients with a loss-of-function mutation in mechanotransduction channel PIEZO2. These findings demonstrate that human mechanical pain does not require PIEZO2 and can be signaled by fast-conducting, thickly myelinated afferents.
Published: 2019
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13. Patient-delivered tDCS on chronic neuropathic pain in prior responders to TMS (a randomized controlled pilot study)

Author: O'Neill,Francis, Sacco,Paul, Bowden,Eleanor, Asher,Rebecca, Burnside,Girvan, Cox,Trevor, Nurmikko,Turo, O'Neill,Francis, Sacco,Paul, Bowden,Eleanor, Asher,Rebecca, Burnside,Girvan, Cox,Trevor, and Nurmikko,Turo
Abstract: Francis O’Neill,1 Paul Sacco,1 Eleanor Bowden,1 Rebecca Asher,2 Girvan Burnside,3 Trevor Cox,2 Turo Nurmikko1 1The Pain Research Institute, Faculty of Health and Life Sciences, Clinical Sciences Centre, University of Liverpool, Liverpool, UK; 2Cancer Research UK Liverpool Cancer Trials Unit, Liverpool, UK; 3Department of Biostatistics, University of Liverpool, Liverpool, UK Background: Successful response to repetitive transcranial magnetic stimulation (rTMS) of the motor cortex requires continued maintenance treatments. Transcranial Direct Current Stimulation (tDCS) may provide a more convenient alternative.Methods: This pilot study aimed to examine the feasibility of a randomized, double-blind, double-crossover pilot study for patients to self-administer tDCS motor cortex stimulation for 20 minutes/day over five consecutive days. Primary outcomes were as follows: usability of patient-administered tDCS, compliance with device, recruitment, and retention rates. Secondary outcomes were as follows: effect on overall pain levels and quality of life via Short Form-36 anxiety and depression via Hospital Anxiety and Depression Scale, and Mini-Mental State scores.Results: A total of 24 subjects with neuropathic pain, who had previously experienced rTMS motor cortex stimulation (13 with reduction in pain scores, 11 nonresponders) were recruited at the Pain Research Institute, Fazakerley, UK. A total of 21 subjects completed the study. Recruitment rate was 100% but retention rate was only 87.5%. All patients reported satisfactory usability of the tDCS device.No significant difference was shown between Sham vs Anodal (–0.16, 95% CI: –0.43 to 0.11) P=0.43, Sham vs Cathodal (0.11, 95% CI: –0.16 to 0.37) P=0.94, or Cathodal vs Anodal (–0.27, 95% CI: –0.54 to 0.00) P=0.053 treatments. Furthermore, no significant changes were demonstrated in anxiety, depression, or quality of life measurements. The data
Published: 2018

14. The Importance and Challenges of Longitudinal Studies Among Patients Diagnosed With Schizophrenia : Predicting Response to Antipsychotic Medication Using Strata

Author: Homman, Lina, Smart, Sophie, Evans, Gemma, O’Neill, Francis, Murray, Robin, Morgan, Craig, Doody, Gill, MacCabe, James, Homman, Lina, Smart, Sophie, Evans, Gemma, O’Neill, Francis, Murray, Robin, Morgan, Craig, Doody, Gill, and MacCabe, James
Abstract: Background: Longitudinal studies are essential for understanding the trajectory and prognosis of patients diagnosed with schizophrenia, in particular those who are treatment resistant as this outcome is difficult to predict. However, follow-up is challenging within this patient population due to high relapse rates, difficulties recontacting participants due to regular change of address, and patients’ symptoms leading to their refusal to take part. Methods: We describe one of the work packages of STRATA (Schizophrenia: Treatment Resistance and Therapeutic Advances) as an example of the challenges facing follow-up studies in schizophrenia research. The main aim of STRATA is to identify differences between treatment-resistant and treatment-responsive patients with schizophrenia and create a method for early identification of treatment resistant patients; thereby allowing earlier transition to more suitable treatments such as clozapine. Cohorts of patients from pre-existing studies of first-episode psychosis are presently being recontacted. Three studies across the UK (“AESOP,” Nottingham and London samples; “RPGI” and “NIFEPS,” Belfast samples) were included in STRATA. In total, 484 participants were eligible for recontact; 157 participants from AESOP, 85 from the RPGI; and 242 from the NIFEPS study. Participants were contacted via their clinical team, letter, or phone. Participants were invited to take part in a 40-minute interview in which demographic, substance use, medication history, and symptomatology (PANSS) data was collected. Participants were also asked to provide a blood and urine sample. Ethical permission was obtained to contact participants using information collected at previous visits and to obtain up to date contact addresses. Results: Out of the 484 participants who were recontacted, 13 were deceased, 9 were excluded, 23 requested information after the first contact but then ceased to respond, 47 declined to participate, and addresses were not identif
Published: 2017
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15. The Importance and Challenges of Longitudinal Studies Among Patients Diagnosed With Schizophrenia : Predicting Response to Antipsychotic Medication Using Strata

Author: Homman, Lina, Smart, Sophie, Evans, Gemma, O’Neill, Francis, Murray, Robin, Morgan, Craig, Doody, Gill, MacCabe, James, Homman, Lina, Smart, Sophie, Evans, Gemma, O’Neill, Francis, Murray, Robin, Morgan, Craig, Doody, Gill, and MacCabe, James
Abstract: Background: Longitudinal studies are essential for understanding the trajectory and prognosis of patients diagnosed with schizophrenia, in particular those who are treatment resistant as this outcome is difficult to predict. However, follow-up is challenging within this patient population due to high relapse rates, difficulties recontacting participants due to regular change of address, and patients’ symptoms leading to their refusal to take part. Methods: We describe one of the work packages of STRATA (Schizophrenia: Treatment Resistance and Therapeutic Advances) as an example of the challenges facing follow-up studies in schizophrenia research. The main aim of STRATA is to identify differences between treatment-resistant and treatment-responsive patients with schizophrenia and create a method for early identification of treatment resistant patients; thereby allowing earlier transition to more suitable treatments such as clozapine. Cohorts of patients from pre-existing studies of first-episode psychosis are presently being recontacted. Three studies across the UK (“AESOP,” Nottingham and London samples; “RPGI” and “NIFEPS,” Belfast samples) were included in STRATA. In total, 484 participants were eligible for recontact; 157 participants from AESOP, 85 from the RPGI; and 242 from the NIFEPS study. Participants were contacted via their clinical team, letter, or phone. Participants were invited to take part in a 40-minute interview in which demographic, substance use, medication history, and symptomatology (PANSS) data was collected. Participants were also asked to provide a blood and urine sample. Ethical permission was obtained to contact participants using information collected at previous visits and to obtain up to date contact addresses. Results: Out of the 484 participants who were recontacted, 13 were deceased, 9 were excluded, 23 requested information after the first contact but then ceased to respond, 47 declined to participate, and addresses were not identif
Published: 2017
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16. The Importance and Challenges of Longitudinal Studies Among Patients Diagnosed With Schizophrenia : Predicting Response to Antipsychotic Medication Using Strata

Author: Homman, Lina, Smart, Sophie, Evans, Gemma, O’Neill, Francis, Murray, Robin, Morgan, Craig, Doody, Gill, MacCabe, James, Homman, Lina, Smart, Sophie, Evans, Gemma, O’Neill, Francis, Murray, Robin, Morgan, Craig, Doody, Gill, and MacCabe, James
Abstract: Background: Longitudinal studies are essential for understanding the trajectory and prognosis of patients diagnosed with schizophrenia, in particular those who are treatment resistant as this outcome is difficult to predict. However, follow-up is challenging within this patient population due to high relapse rates, difficulties recontacting participants due to regular change of address, and patients’ symptoms leading to their refusal to take part. Methods: We describe one of the work packages of STRATA (Schizophrenia: Treatment Resistance and Therapeutic Advances) as an example of the challenges facing follow-up studies in schizophrenia research. The main aim of STRATA is to identify differences between treatment-resistant and treatment-responsive patients with schizophrenia and create a method for early identification of treatment resistant patients; thereby allowing earlier transition to more suitable treatments such as clozapine. Cohorts of patients from pre-existing studies of first-episode psychosis are presently being recontacted. Three studies across the UK (“AESOP,” Nottingham and London samples; “RPGI” and “NIFEPS,” Belfast samples) were included in STRATA. In total, 484 participants were eligible for recontact; 157 participants from AESOP, 85 from the RPGI; and 242 from the NIFEPS study. Participants were contacted via their clinical team, letter, or phone. Participants were invited to take part in a 40-minute interview in which demographic, substance use, medication history, and symptomatology (PANSS) data was collected. Participants were also asked to provide a blood and urine sample. Ethical permission was obtained to contact participants using information collected at previous visits and to obtain up to date contact addresses. Results: Out of the 484 participants who were recontacted, 13 were deceased, 9 were excluded, 23 requested information after the first contact but then ceased to respond, 47 declined to participate, and addresses were not identif
Published: 2017
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17. The Importance and Challenges of Longitudinal Studies Among Patients Diagnosed With Schizophrenia : Predicting Response to Antipsychotic Medication Using Strata

Author: Homman, Lina, Smart, Sophie, Evans, Gemma, O’Neill, Francis, Murray, Robin, Morgan, Craig, Doody, Gill, MacCabe, James, Homman, Lina, Smart, Sophie, Evans, Gemma, O’Neill, Francis, Murray, Robin, Morgan, Craig, Doody, Gill, and MacCabe, James
Abstract: Background: Longitudinal studies are essential for understanding the trajectory and prognosis of patients diagnosed with schizophrenia, in particular those who are treatment resistant as this outcome is difficult to predict. However, follow-up is challenging within this patient population due to high relapse rates, difficulties recontacting participants due to regular change of address, and patients’ symptoms leading to their refusal to take part. Methods: We describe one of the work packages of STRATA (Schizophrenia: Treatment Resistance and Therapeutic Advances) as an example of the challenges facing follow-up studies in schizophrenia research. The main aim of STRATA is to identify differences between treatment-resistant and treatment-responsive patients with schizophrenia and create a method for early identification of treatment resistant patients; thereby allowing earlier transition to more suitable treatments such as clozapine. Cohorts of patients from pre-existing studies of first-episode psychosis are presently being recontacted. Three studies across the UK (“AESOP,” Nottingham and London samples; “RPGI” and “NIFEPS,” Belfast samples) were included in STRATA. In total, 484 participants were eligible for recontact; 157 participants from AESOP, 85 from the RPGI; and 242 from the NIFEPS study. Participants were contacted via their clinical team, letter, or phone. Participants were invited to take part in a 40-minute interview in which demographic, substance use, medication history, and symptomatology (PANSS) data was collected. Participants were also asked to provide a blood and urine sample. Ethical permission was obtained to contact participants using information collected at previous visits and to obtain up to date contact addresses. Results: Out of the 484 participants who were recontacted, 13 were deceased, 9 were excluded, 23 requested information after the first contact but then ceased to respond, 47 declined to participate, and addresses were not identif
Published: 2017
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18. The Importance and Challenges of Longitudinal Studies Among Patients Diagnosed With Schizophrenia : Predicting Response to Antipsychotic Medication Using Strata

Author: Homman, Lina, Smart, Sophie, Evans, Gemma, O’Neill, Francis, Murray, Robin, Morgan, Craig, Doody, Gill, MacCabe, James, Homman, Lina, Smart, Sophie, Evans, Gemma, O’Neill, Francis, Murray, Robin, Morgan, Craig, Doody, Gill, and MacCabe, James
Abstract: Background: Longitudinal studies are essential for understanding the trajectory and prognosis of patients diagnosed with schizophrenia, in particular those who are treatment resistant as this outcome is difficult to predict. However, follow-up is challenging within this patient population due to high relapse rates, difficulties recontacting participants due to regular change of address, and patients’ symptoms leading to their refusal to take part. Methods: We describe one of the work packages of STRATA (Schizophrenia: Treatment Resistance and Therapeutic Advances) as an example of the challenges facing follow-up studies in schizophrenia research. The main aim of STRATA is to identify differences between treatment-resistant and treatment-responsive patients with schizophrenia and create a method for early identification of treatment resistant patients; thereby allowing earlier transition to more suitable treatments such as clozapine. Cohorts of patients from pre-existing studies of first-episode psychosis are presently being recontacted. Three studies across the UK (“AESOP,” Nottingham and London samples; “RPGI” and “NIFEPS,” Belfast samples) were included in STRATA. In total, 484 participants were eligible for recontact; 157 participants from AESOP, 85 from the RPGI; and 242 from the NIFEPS study. Participants were contacted via their clinical team, letter, or phone. Participants were invited to take part in a 40-minute interview in which demographic, substance use, medication history, and symptomatology (PANSS) data was collected. Participants were also asked to provide a blood and urine sample. Ethical permission was obtained to contact participants using information collected at previous visits and to obtain up to date contact addresses. Results: Out of the 484 participants who were recontacted, 13 were deceased, 9 were excluded, 23 requested information after the first contact but then ceased to respond, 47 declined to participate, and addresses were not identif
Published: 2017
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19. The Importance and Challenges of Longitudinal Studies Among Patients Diagnosed With Schizophrenia : Predicting Response to Antipsychotic Medication Using Strata

Author: Homman, Lina, Smart, Sophie, Evans, Gemma, O’Neill, Francis, Murray, Robin, Morgan, Craig, Doody, Gill, MacCabe, James, Homman, Lina, Smart, Sophie, Evans, Gemma, O’Neill, Francis, Murray, Robin, Morgan, Craig, Doody, Gill, and MacCabe, James
Abstract: Background: Longitudinal studies are essential for understanding the trajectory and prognosis of patients diagnosed with schizophrenia, in particular those who are treatment resistant as this outcome is difficult to predict. However, follow-up is challenging within this patient population due to high relapse rates, difficulties recontacting participants due to regular change of address, and patients’ symptoms leading to their refusal to take part. Methods: We describe one of the work packages of STRATA (Schizophrenia: Treatment Resistance and Therapeutic Advances) as an example of the challenges facing follow-up studies in schizophrenia research. The main aim of STRATA is to identify differences between treatment-resistant and treatment-responsive patients with schizophrenia and create a method for early identification of treatment resistant patients; thereby allowing earlier transition to more suitable treatments such as clozapine. Cohorts of patients from pre-existing studies of first-episode psychosis are presently being recontacted. Three studies across the UK (“AESOP,” Nottingham and London samples; “RPGI” and “NIFEPS,” Belfast samples) were included in STRATA. In total, 484 participants were eligible for recontact; 157 participants from AESOP, 85 from the RPGI; and 242 from the NIFEPS study. Participants were contacted via their clinical team, letter, or phone. Participants were invited to take part in a 40-minute interview in which demographic, substance use, medication history, and symptomatology (PANSS) data was collected. Participants were also asked to provide a blood and urine sample. Ethical permission was obtained to contact participants using information collected at previous visits and to obtain up to date contact addresses. Results: Out of the 484 participants who were recontacted, 13 were deceased, 9 were excluded, 23 requested information after the first contact but then ceased to respond, 47 declined to participate, and addresses were not identif
Published: 2017
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20. Genome-wide association analysis identifies 13 new risk loci for schizophrenia.

Author: Ripke, Stephan, Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Lee, Sang Hong, Magnusson, Patrik KE, Sanchez, Nick, Stahl, Eli A, Williams, Stephanie, Wray, Naomi R, Xia, Kai, Bettella, Francesco, Borglum, Anders D, Bulik-Sullivan, Brendan K, Cormican, Paul, Craddock, Nick, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Powell, John, Richards, Alexander L, Riley, Brien P, Ruderfer, Douglas, Rujescu, Dan, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Walters, James T, Multicenter Genetic Studies of Schizophrenia Consortium, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, O'Donovan, Michael C, Pulver, Ann E, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Psychosis Endophenotypes International Consortium, Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, Collier, David, Ripke, Stephan, Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Lee, Sang Hong, Magnusson, Patrik KE, Sanchez, Nick, Stahl, Eli A, Williams, Stephanie, Wray, Naomi R, Xia, Kai, Bettella, Francesco, Borglum, Anders D, Bulik-Sullivan, Brendan K, Cormican, Paul, Craddock, Nick, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Powell, John, Richards, Alexander L, Riley, Brien P, Ruderfer, Douglas, Rujescu, Dan, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Walters, James T, Multicenter Genetic Studies of Schizophrenia Consortium, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, O'Donovan, Michael C, Pulver, Ann E, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Psychosis Endophenotypes International Consortium, Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, and Collier, David
Abstract: Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios). We identified 22 loci associated at genome-wide significance; 13 of these are new, and 1 was previously implicated in bipolar disorder. Examination of candidate genes at these loci suggests the involvement of neuronal calcium signaling. We estimate that 8,300 independent, mostly common SNPs (95% credible interval of 6,300-10,200 SNPs) contribute to risk for schizophrenia and that these collectively account for at least 32% of the variance in liability. Common genetic variation has an important role in the etiology of schizophrenia, and larger studies will allow more detailed understanding of this disorder.
Published: 2013

21. Genome-wide association analysis identifies 13 new risk loci for schizophrenia

Author: Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Lee, Sang Hong, Magnusson, Patrik K E, Sanchez, Nick, Stahl, Eli A, Williams, Stephanie, Wray, Naomi R, Xia, Kai, Bettella, Francesco, Borglum, Anders D, Bulik-Sullivan, Brendan K, Cormican, Paul, Craddock, Nick, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Powell, John, Richards, Alexander L, Riley, Brien P, Ruderfer, Douglas, Rujescu, Dan, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Walters, James T, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, O'Donovan, Michael C, Pulver, Ann E, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, Collier, David, Crespo-Facorro, Benedicto, Hall, Jeremy, Iyegbe, Conrad, Jablensky, Assen, Kahn, Rene S, Kalaydjieva, Luba, Lawrie, Stephen, Lewis, Cathryn M, Linszen, Don H, Mata, Ignacio, McIntosh, Andrew, Murray, Robin M, Ophoff, Roel A, Van Os, Jim, Walshe, Muriel, Weisbrod, Matthias, Wiersma, Durk, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Brown, Matthew A, Casas, Juan P, Corvin, Aiden P, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard D, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Tashakkori-Ghanbaria, Avazeh, Waller, Matthew J, Weston, Paul, Widaa, Sara, Whittaker, Pamela, McCarthy, Mark I, Stefansson, Kari, Scolnick, Edward, Purcell, Shaun, McCarroll, Steven A, Sklar, Pamela, Hultman, Christina M, Sullivan, Patrick F, Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Lee, Sang Hong, Magnusson, Patrik K E, Sanchez, Nick, Stahl, Eli A, Williams, Stephanie, Wray, Naomi R, Xia, Kai, Bettella, Francesco, Borglum, Anders D, Bulik-Sullivan, Brendan K, Cormican, Paul, Craddock, Nick, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Powell, John, Richards, Alexander L, Riley, Brien P, Ruderfer, Douglas, Rujescu, Dan, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Walters, James T, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, O'Donovan, Michael C, Pulver, Ann E, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, Collier, David, Crespo-Facorro, Benedicto, Hall, Jeremy, Iyegbe, Conrad, Jablensky, Assen, Kahn, Rene S, Kalaydjieva, Luba, Lawrie, Stephen, Lewis, Cathryn M, Linszen, Don H, Mata, Ignacio, McIntosh, Andrew, Murray, Robin M, Ophoff, Roel A, Van Os, Jim, Walshe, Muriel, Weisbrod, Matthias, Wiersma, Durk, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Brown, Matthew A, Casas, Juan P, Corvin, Aiden P, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard D, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Tashakkori-Ghanbaria, Avazeh, Waller, Matthew J, Weston, Paul, Widaa, Sara, Whittaker, Pamela, McCarthy, Mark I, Stefansson, Kari, Scolnick, Edward, Purcell, Shaun, McCarroll, Steven A, Sklar, Pamela, Hultman, Christina M, and Sullivan, Patrick F
Abstract: Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios). We identified 22 loci associated at genome-wide significance; 13 of these are new, and 1 was previously implicated in bipolar disorder. Examination of candidate genes at these loci suggests the involvement of neuronal calcium signaling. We estimate that 8,300 independent, mostly common SNPs (95% credible interval of 6,300–10,200 SNPs) contribute to risk for schizophrenia and that these collectively account for at least 32% of the variance in liability. Common genetic variation has an important role in the etiology of schizophrenia, and larger studies will allow more detailed understanding of this disorder.
Published: 2013

22. Genome-wide association analysis identifies 13 new risk loci for schizophrenia

Author: Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Lee, Sang Hong, Magnusson, Patrik K E, Sanchez, Nick, Stahl, Eli A, Williams, Stephanie, Wray, Naomi R, Xia, Kai, Bettella, Francesco, Borglum, Anders D, Bulik-Sullivan, Brendan K, Cormican, Paul, Craddock, Nick, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Powell, John, Richards, Alexander L, Riley, Brien P, Ruderfer, Douglas, Rujescu, Dan, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Walters, James T, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, O'Donovan, Michael C, Pulver, Ann E, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, Collier, David, Crespo-Facorro, Benedicto, Hall, Jeremy, Iyegbe, Conrad, Jablensky, Assen, Kahn, Rene S, Kalaydjieva, Luba, Lawrie, Stephen, Lewis, Cathryn M, Linszen, Don H, Mata, Ignacio, McIntosh, Andrew, Murray, Robin M, Ophoff, Roel A, Van Os, Jim, Walshe, Muriel, Weisbrod, Matthias, Wiersma, Durk, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Brown, Matthew A, Casas, Juan P, Corvin, Aiden P, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard D, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Tashakkori-Ghanbaria, Avazeh, Waller, Matthew J, Weston, Paul, Widaa, Sara, Whittaker, Pamela, McCarthy, Mark I, Stefansson, Kari, Scolnick, Edward, Purcell, Shaun, McCarroll, Steven A, Sklar, Pamela, Hultman, Christina M, Sullivan, Patrick F, Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Lee, Sang Hong, Magnusson, Patrik K E, Sanchez, Nick, Stahl, Eli A, Williams, Stephanie, Wray, Naomi R, Xia, Kai, Bettella, Francesco, Borglum, Anders D, Bulik-Sullivan, Brendan K, Cormican, Paul, Craddock, Nick, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Powell, John, Richards, Alexander L, Riley, Brien P, Ruderfer, Douglas, Rujescu, Dan, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Walters, James T, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, O'Donovan, Michael C, Pulver, Ann E, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, Collier, David, Crespo-Facorro, Benedicto, Hall, Jeremy, Iyegbe, Conrad, Jablensky, Assen, Kahn, Rene S, Kalaydjieva, Luba, Lawrie, Stephen, Lewis, Cathryn M, Linszen, Don H, Mata, Ignacio, McIntosh, Andrew, Murray, Robin M, Ophoff, Roel A, Van Os, Jim, Walshe, Muriel, Weisbrod, Matthias, Wiersma, Durk, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Brown, Matthew A, Casas, Juan P, Corvin, Aiden P, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard D, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Tashakkori-Ghanbaria, Avazeh, Waller, Matthew J, Weston, Paul, Widaa, Sara, Whittaker, Pamela, McCarthy, Mark I, Stefansson, Kari, Scolnick, Edward, Purcell, Shaun, McCarroll, Steven A, Sklar, Pamela, Hultman, Christina M, and Sullivan, Patrick F
Abstract: Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios). We identified 22 loci associated at genome-wide significance; 13 of these are new, and 1 was previously implicated in bipolar disorder. Examination of candidate genes at these loci suggests the involvement of neuronal calcium signaling. We estimate that 8,300 independent, mostly common SNPs (95% credible interval of 6,300–10,200 SNPs) contribute to risk for schizophrenia and that these collectively account for at least 32% of the variance in liability. Common genetic variation has an important role in the etiology of schizophrenia, and larger studies will allow more detailed understanding of this disorder.
Published: 2013

23. Genome-wide association analysis identifies 13 new risk loci for schizophrenia.

Author: Ripke, Stephan, Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Lee, Sang Hong, Magnusson, Patrik KE, Sanchez, Nick, Stahl, Eli A, Williams, Stephanie, Wray, Naomi R, Xia, Kai, Bettella, Francesco, Borglum, Anders D, Bulik-Sullivan, Brendan K, Cormican, Paul, Craddock, Nick, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Powell, John, Richards, Alexander L, Riley, Brien P, Ruderfer, Douglas, Rujescu, Dan, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Walters, James T, Multicenter Genetic Studies of Schizophrenia Consortium, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, O'Donovan, Michael C, Pulver, Ann E, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Psychosis Endophenotypes International Consortium, Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, Collier, David, Ripke, Stephan, Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Lee, Sang Hong, Magnusson, Patrik KE, Sanchez, Nick, Stahl, Eli A, Williams, Stephanie, Wray, Naomi R, Xia, Kai, Bettella, Francesco, Borglum, Anders D, Bulik-Sullivan, Brendan K, Cormican, Paul, Craddock, Nick, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Powell, John, Richards, Alexander L, Riley, Brien P, Ruderfer, Douglas, Rujescu, Dan, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Walters, James T, Multicenter Genetic Studies of Schizophrenia Consortium, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, O'Donovan, Michael C, Pulver, Ann E, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Psychosis Endophenotypes International Consortium, Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, and Collier, David
Abstract: Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios). We identified 22 loci associated at genome-wide significance; 13 of these are new, and 1 was previously implicated in bipolar disorder. Examination of candidate genes at these loci suggests the involvement of neuronal calcium signaling. We estimate that 8,300 independent, mostly common SNPs (95% credible interval of 6,300-10,200 SNPs) contribute to risk for schizophrenia and that these collectively account for at least 32% of the variance in liability. Common genetic variation has an important role in the etiology of schizophrenia, and larger studies will allow more detailed understanding of this disorder.
Published: 2013

24. Genome-wide association analysis identifies 13 new risk loci for schizophrenia

Author: Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Lee, Sang Hong, Magnusson, Patrik K E, Sanchez, Nick, Stahl, Eli A, Williams, Stephanie, Wray, Naomi R, Xia, Kai, Bettella, Francesco, Borglum, Anders D, Bulik-Sullivan, Brendan K, Cormican, Paul, Craddock, Nick, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Powell, John, Richards, Alexander L, Riley, Brien P, Ruderfer, Douglas, Rujescu, Dan, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Walters, James T, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, O'Donovan, Michael C, Pulver, Ann E, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, Collier, David, Crespo-Facorro, Benedicto, Hall, Jeremy, Iyegbe, Conrad, Jablensky, Assen, Kahn, Rene S, Kalaydjieva, Luba, Lawrie, Stephen, Lewis, Cathryn M, Linszen, Don H, Mata, Ignacio, McIntosh, Andrew, Murray, Robin M, Ophoff, Roel A, Van Os, Jim, Walshe, Muriel, Weisbrod, Matthias, Wiersma, Durk, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Brown, Matthew A, Casas, Juan P, Corvin, Aiden P, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard D, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Tashakkori-Ghanbaria, Avazeh, Waller, Matthew J, Weston, Paul, Widaa, Sara, Whittaker, Pamela, McCarthy, Mark I, Stefansson, Kari, Scolnick, Edward, Purcell, Shaun, McCarroll, Steven A, Sklar, Pamela, Hultman, Christina M, Sullivan, Patrick F, Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Lee, Sang Hong, Magnusson, Patrik K E, Sanchez, Nick, Stahl, Eli A, Williams, Stephanie, Wray, Naomi R, Xia, Kai, Bettella, Francesco, Borglum, Anders D, Bulik-Sullivan, Brendan K, Cormican, Paul, Craddock, Nick, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Powell, John, Richards, Alexander L, Riley, Brien P, Ruderfer, Douglas, Rujescu, Dan, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Walters, James T, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, O'Donovan, Michael C, Pulver, Ann E, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, Collier, David, Crespo-Facorro, Benedicto, Hall, Jeremy, Iyegbe, Conrad, Jablensky, Assen, Kahn, Rene S, Kalaydjieva, Luba, Lawrie, Stephen, Lewis, Cathryn M, Linszen, Don H, Mata, Ignacio, McIntosh, Andrew, Murray, Robin M, Ophoff, Roel A, Van Os, Jim, Walshe, Muriel, Weisbrod, Matthias, Wiersma, Durk, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Brown, Matthew A, Casas, Juan P, Corvin, Aiden P, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard D, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Tashakkori-Ghanbaria, Avazeh, Waller, Matthew J, Weston, Paul, Widaa, Sara, Whittaker, Pamela, McCarthy, Mark I, Stefansson, Kari, Scolnick, Edward, Purcell, Shaun, McCarroll, Steven A, Sklar, Pamela, Hultman, Christina M, and Sullivan, Patrick F
Abstract: Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios). We identified 22 loci associated at genome-wide significance; 13 of these are new, and 1 was previously implicated in bipolar disorder. Examination of candidate genes at these loci suggests the involvement of neuronal calcium signaling. We estimate that 8,300 independent, mostly common SNPs (95% credible interval of 6,300–10,200 SNPs) contribute to risk for schizophrenia and that these collectively account for at least 32% of the variance in liability. Common genetic variation has an important role in the etiology of schizophrenia, and larger studies will allow more detailed understanding of this disorder.
Published: 2013

25. Genome-wide association analysis identifies 13 new risk loci for schizophrenia

Author: Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Lee, Sang Hong, Magnusson, Patrik K E, Sanchez, Nick, Stahl, Eli A, Williams, Stephanie, Wray, Naomi R, Xia, Kai, Bettella, Francesco, Borglum, Anders D, Bulik-Sullivan, Brendan K, Cormican, Paul, Craddock, Nick, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Powell, John, Richards, Alexander L, Riley, Brien P, Ruderfer, Douglas, Rujescu, Dan, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Walters, James T, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, O'Donovan, Michael C, Pulver, Ann E, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, Collier, David, Crespo-Facorro, Benedicto, Hall, Jeremy, Iyegbe, Conrad, Jablensky, Assen, Kahn, Rene S, Kalaydjieva, Luba, Lawrie, Stephen, Lewis, Cathryn M, Linszen, Don H, Mata, Ignacio, McIntosh, Andrew, Murray, Robin M, Ophoff, Roel A, Van Os, Jim, Walshe, Muriel, Weisbrod, Matthias, Wiersma, Durk, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Brown, Matthew A, Casas, Juan P, Corvin, Aiden P, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard D, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Tashakkori-Ghanbaria, Avazeh, Waller, Matthew J, Weston, Paul, Widaa, Sara, Whittaker, Pamela, McCarthy, Mark I, Stefansson, Kari, Scolnick, Edward, Purcell, Shaun, McCarroll, Steven A, Sklar, Pamela, Hultman, Christina M, Sullivan, Patrick F, Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Lee, Sang Hong, Magnusson, Patrik K E, Sanchez, Nick, Stahl, Eli A, Williams, Stephanie, Wray, Naomi R, Xia, Kai, Bettella, Francesco, Borglum, Anders D, Bulik-Sullivan, Brendan K, Cormican, Paul, Craddock, Nick, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Powell, John, Richards, Alexander L, Riley, Brien P, Ruderfer, Douglas, Rujescu, Dan, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Walters, James T, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, O'Donovan, Michael C, Pulver, Ann E, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, Collier, David, Crespo-Facorro, Benedicto, Hall, Jeremy, Iyegbe, Conrad, Jablensky, Assen, Kahn, Rene S, Kalaydjieva, Luba, Lawrie, Stephen, Lewis, Cathryn M, Linszen, Don H, Mata, Ignacio, McIntosh, Andrew, Murray, Robin M, Ophoff, Roel A, Van Os, Jim, Walshe, Muriel, Weisbrod, Matthias, Wiersma, Durk, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Brown, Matthew A, Casas, Juan P, Corvin, Aiden P, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard D, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Tashakkori-Ghanbaria, Avazeh, Waller, Matthew J, Weston, Paul, Widaa, Sara, Whittaker, Pamela, McCarthy, Mark I, Stefansson, Kari, Scolnick, Edward, Purcell, Shaun, McCarroll, Steven A, Sklar, Pamela, Hultman, Christina M, and Sullivan, Patrick F
Abstract: Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios). We identified 22 loci associated at genome-wide significance; 13 of these are new, and 1 was previously implicated in bipolar disorder. Examination of candidate genes at these loci suggests the involvement of neuronal calcium signaling. We estimate that 8,300 independent, mostly common SNPs (95% credible interval of 6,300–10,200 SNPs) contribute to risk for schizophrenia and that these collectively account for at least 32% of the variance in liability. Common genetic variation has an important role in the etiology of schizophrenia, and larger studies will allow more detailed understanding of this disorder.
Published: 2013

26. Catholic Charities, Archdiocese of New York: History of the Foundation and Services of the Lower Manhattan Branch Office, 1959-1962

Author: O'Neill, Francis Amelia and O'Neill, Francis Amelia
Abstract: The complexity of present day living occasions many difficult and grave problems. Essential values which are the foundation of family life are questioned and threatened justice, love, personal responsibility to God and His Law. Factors such as financial stress, marital discord, limited employment opportunities, parental irresponsibility undermine family stability. More basically the roots of family disintegration extend into the problems caused by widespread moral breakdown, lack of moral training, discrimination and materialism.
Published: 1964

27. Genome-wide association analysis identifies 13 new risk loci for schizophrenia.

Author: Massachusetts Gen Hosp, Analyt & Translat Genet Unit, Boston, MA 02114 USA Broad Inst MIT & Harvard, Stanley Ctr Psychiat Res, Cambridge, MA USA Univ N Carolina, Dept Genet, Chapel Hill, NC 27515 USA Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden Oslo Univ Hosp, Div Mental Hlth & Addict, Oslo, Norway Icahn Sch Med Mt Sinai, Dept Psychiat, Div Psychiat Genom, New York, NY USA Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia Univ N Carolina, Dept Psychiat, Chapel Hill, NC USA deCODE Genet, Reykjavik, Iceland Aarhus Univ Hosp, Risskov, Denmark Aarhus Univ, Ctr Integrat Sequencing iSEQ, Aarhus, Denmark Lundbeck Fdn Initiat Integrat Psychiat Res iPSYCH, Aarhus, Denmark Lundbeck Fdn Initiat Integrat Psychiat Res iPSYCH, Copenhagen, Denmark Univ Dublin Trinity Coll, Dept Psychiat, Dublin 2, Ireland Cardiff Univ, Sch Med, Ctr Psychiat Genet & Genom, MRC, Cardiff CF10 3AX, S Glam, Wales Vrije Univ Amsterdam, Ctr Neurogen & Cognit Res, Dept Funct Genom, Amsterdam, Netherlands Vrije Univ Amsterdam Med Ctr, Amsterdam, Netherlands Radboud Univ Nijmegen, Inst Comp & Informat Sci, NL-6525 ED Nijmegen, Netherlands Univ Clin Psychiat, Dept Child & Adolescent Psychiat, Skopje, Macedonia Univ Dublin Trinity Coll, Neuropsychiat Genet Res Grp, Dublin 2, Ireland Russian Acad Med Sci, Mental Hlth Res Ctr, Moscow 109801, Russia Statens Serum Inst, DK-2300 Copenhagen, Denmark Virginia Commonwealth Univ, Dept Psychiat, Richmond, VA USA Virginia Commonwealth Univ, Virginia Inst Psychiat & Behav Genet, Richmond, VA USA Kings Coll London, Inst Psychiat, London, England Aarhus Univ Hosp, Ctr Psychiat Res, Risskov, Denmark Aarhus Univ, Natl Ctr Register Based Res, Aarhus, DenmarkQueens Univ Belfast, Ctr Publ Hlth, Belfast, Antrim, North Ireland Univ Belgrade, Fac Med, Belgrade, Serbia Erasmus Univ, Med Ctr, Dept Child & Adolescent Psychiat, Rotterdam, Netherlands Kings Coll London, Dept Neurosci, London, England Virginia Commonwealth Univ, Dept Human & Mol Genet, Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Bender, Stephan, Bramon, Elvira, Collier, David, Crespo-Facorro, Benedicto, Hall, Jeremy, Iyegbe, Conrad, McIntosh, Andrew, Murray, Robin M, Lee, Sang Hong, Ophoff, Roel A, Scolnick, Edward, Powell, John, Rujescu, Dan, Van Os, Jim, Walshe, Muriel, Weisbrod, Matthias, Wiersma, Durk, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Magnusson, Patrik K E, Purcell, Shaun, Brown, Matthew A, Casas, Juan P, Corvin, Aiden P, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, McCarroll, Steven A, Sanchez, Nick, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Sklar, Pamela, Freeman, Colin, Stahl, Eli A, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard D, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Hultman, Christina M, Langford, Cordelia, Hunt, Sarah E, Williams, Stephanie, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Sullivan, Patrick F, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Wray, Naomi R, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Tashakkori-Ghanbaria, Avazeh, Waller, Matthew J, Borglum, Anders D, Weston, Paul, Widaa, Sara, Whittaker, Pamela, Xia, Kai, Bulik-Sullivan, Brendan K, McCarthy, Mark I, O'Donovan, Michael C, Bettella, Francesco, Stefansson, Kari, Cormican, Paul, Craddock, Nick, Jablensky, Assen, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Kahn, Rene S, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Richards, Alexander L, Riley, Brien P, Kalaydjieva, Luba, Ruderfer, Douglas, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Lawrie, Stephen, Walters, James T, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, Pulver, Ann E, Lewis, Cathryn M, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Linszen, Don H, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Arranz, Maria J, Mata, Ignacio, Bakker, Steven, Massachusetts Gen Hosp, Analyt & Translat Genet Unit, Boston, MA 02114 USA Broad Inst MIT & Harvard, Stanley Ctr Psychiat Res, Cambridge, MA USA Univ N Carolina, Dept Genet, Chapel Hill, NC 27515 USA Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden Oslo Univ Hosp, Div Mental Hlth & Addict, Oslo, Norway Icahn Sch Med Mt Sinai, Dept Psychiat, Div Psychiat Genom, New York, NY USA Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia Univ N Carolina, Dept Psychiat, Chapel Hill, NC USA deCODE Genet, Reykjavik, Iceland Aarhus Univ Hosp, Risskov, Denmark Aarhus Univ, Ctr Integrat Sequencing iSEQ, Aarhus, Denmark Lundbeck Fdn Initiat Integrat Psychiat Res iPSYCH, Aarhus, Denmark Lundbeck Fdn Initiat Integrat Psychiat Res iPSYCH, Copenhagen, Denmark Univ Dublin Trinity Coll, Dept Psychiat, Dublin 2, Ireland Cardiff Univ, Sch Med, Ctr Psychiat Genet & Genom, MRC, Cardiff CF10 3AX, S Glam, Wales Vrije Univ Amsterdam, Ctr Neurogen & Cognit Res, Dept Funct Genom, Amsterdam, Netherlands Vrije Univ Amsterdam Med Ctr, Amsterdam, Netherlands Radboud Univ Nijmegen, Inst Comp & Informat Sci, NL-6525 ED Nijmegen, Netherlands Univ Clin Psychiat, Dept Child & Adolescent Psychiat, Skopje, Macedonia Univ Dublin Trinity Coll, Neuropsychiat Genet Res Grp, Dublin 2, Ireland Russian Acad Med Sci, Mental Hlth Res Ctr, Moscow 109801, Russia Statens Serum Inst, DK-2300 Copenhagen, Denmark Virginia Commonwealth Univ, Dept Psychiat, Richmond, VA USA Virginia Commonwealth Univ, Virginia Inst Psychiat & Behav Genet, Richmond, VA USA Kings Coll London, Inst Psychiat, London, England Aarhus Univ Hosp, Ctr Psychiat Res, Risskov, Denmark Aarhus Univ, Natl Ctr Register Based Res, Aarhus, DenmarkQueens Univ Belfast, Ctr Publ Hlth, Belfast, Antrim, North Ireland Univ Belgrade, Fac Med, Belgrade, Serbia Erasmus Univ, Med Ctr, Dept Child & Adolescent Psychiat, Rotterdam, Netherlands Kings Coll London, Dept Neurosci, London, England Virginia Commonwealth Univ, Dept Human & Mol Genet, Ripke, Stephan, O'Dushlaine, Colm, Chambert, Kimberly, Moran, Jennifer L, Kähler, Anna K, Akterin, Susanne, Bergen, Sarah E, Collins, Ann L, Crowley, James J, Fromer, Menachem, Kim, Yunjung, Bender, Stephan, Bramon, Elvira, Collier, David, Crespo-Facorro, Benedicto, Hall, Jeremy, Iyegbe, Conrad, McIntosh, Andrew, Murray, Robin M, Lee, Sang Hong, Ophoff, Roel A, Scolnick, Edward, Powell, John, Rujescu, Dan, Van Os, Jim, Walshe, Muriel, Weisbrod, Matthias, Wiersma, Durk, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Magnusson, Patrik K E, Purcell, Shaun, Brown, Matthew A, Casas, Juan P, Corvin, Aiden P, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, McCarroll, Steven A, Sanchez, Nick, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Sklar, Pamela, Freeman, Colin, Stahl, Eli A, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard D, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Hultman, Christina M, Langford, Cordelia, Hunt, Sarah E, Williams, Stephanie, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Sullivan, Patrick F, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Wray, Naomi R, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Tashakkori-Ghanbaria, Avazeh, Waller, Matthew J, Borglum, Anders D, Weston, Paul, Widaa, Sara, Whittaker, Pamela, Xia, Kai, Bulik-Sullivan, Brendan K, McCarthy, Mark I, O'Donovan, Michael C, Bettella, Francesco, Stefansson, Kari, Cormican, Paul, Craddock, Nick, Jablensky, Assen, de Leeuw, Christiaan, Durmishi, Naser, Gill, Michael, Golimbet, Vera, Hamshere, Marian L, Holmans, Peter, Hougaard, David M, Kendler, Kenneth S, Lin, Kuang, Morris, Derek W, Kahn, Rene S, Mors, Ole, Mortensen, Preben B, Neale, Benjamin M, O'Neill, Francis A, Owen, Michael J, Milovancevic, Milica Pejovic, Posthuma, Danielle, Richards, Alexander L, Riley, Brien P, Kalaydjieva, Luba, Ruderfer, Douglas, Sigurdsson, Engilbert, Silagadze, Teimuraz, Smit, August B, Stefansson, Hreinn, Steinberg, Stacy, Suvisaari, Jaana, Tosato, Sarah, Verhage, Matthijs, Lawrie, Stephen, Walters, James T, Levinson, Douglas F, Gejman, Pablo V, Laurent, Claudine, Mowry, Bryan J, Pulver, Ann E, Lewis, Cathryn M, Schwab, Sibylle G, Wildenauer, Dieter B, Dudbridge, Frank, Shi, Jianxin, Albus, Margot, Alexander, Madeline, Campion, Dominique, Cohen, David, Dikeos, Dimitris, Duan, Jubao, Eichhammer, Peter, Godard, Stephanie, Hansen, Mark, Lerer, F Bernard, Liang, Kung-Yee, Maier, Wolfgang, Mallet, Jacques, Nertney, Deborah A, Nestadt, Gerald, Linszen, Don H, Norton, Nadine, Papadimitriou, George N, Ribble, Robert, Sanders, Alan R, Silverman, Jeremy M, Walsh, Dermot, Williams, Nigel M, Wormley, Brandon, Arranz, Maria J, Mata, Ignacio, and Bakker, Steven
Abstract: To access publisher's full text version of this article. Please click on the hyperlink in Additional Links field., Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by replication of SNPs in 168 genomic regions in independent samples (7,413 cases, 19,762 controls and 581 parent-offspring trios). We identified 22 loci associated at genome-wide significance; 13 of these are new, and 1 was previously implicated in bipolar disorder. Examination of candidate genes at these loci suggests the involvement of neuronal calcium signaling. We estimate that 8,300 independent, mostly common SNPs (95% credible interval of 6,300-10,200 SNPs) contribute to risk for schizophrenia and that these collectively account for at least 32% of the variance in liability. Common genetic variation has an important role in the etiology of schizophrenia, and larger studies will allow more detailed understanding of this disorder.

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27 results on '"O'Neill, Francis A."'

1. Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium

2. Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium

3. Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium

4. Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium

5. Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium

6. Attrition in longitudinal studies among patients with schizophrenia and other psychoses; findings from the STRATA collaboration

7. An ultrafast system for signaling mechanical pain in human skin

8. An ultrafast system for signaling mechanical pain in human skin

9. An ultrafast system for signaling mechanical pain in human skin

10. An ultrafast system for signaling mechanical pain in human skin

11. An ultrafast system for signaling mechanical pain in human skin

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13. Patient-delivered tDCS on chronic neuropathic pain in prior responders to TMS (a randomized controlled pilot study)

14. The Importance and Challenges of Longitudinal Studies Among Patients Diagnosed With Schizophrenia : Predicting Response to Antipsychotic Medication Using Strata

15. The Importance and Challenges of Longitudinal Studies Among Patients Diagnosed With Schizophrenia : Predicting Response to Antipsychotic Medication Using Strata

16. The Importance and Challenges of Longitudinal Studies Among Patients Diagnosed With Schizophrenia : Predicting Response to Antipsychotic Medication Using Strata

17. The Importance and Challenges of Longitudinal Studies Among Patients Diagnosed With Schizophrenia : Predicting Response to Antipsychotic Medication Using Strata

18. The Importance and Challenges of Longitudinal Studies Among Patients Diagnosed With Schizophrenia : Predicting Response to Antipsychotic Medication Using Strata

19. The Importance and Challenges of Longitudinal Studies Among Patients Diagnosed With Schizophrenia : Predicting Response to Antipsychotic Medication Using Strata

20. Genome-wide association analysis identifies 13 new risk loci for schizophrenia.

21. Genome-wide association analysis identifies 13 new risk loci for schizophrenia

22. Genome-wide association analysis identifies 13 new risk loci for schizophrenia

23. Genome-wide association analysis identifies 13 new risk loci for schizophrenia.

24. Genome-wide association analysis identifies 13 new risk loci for schizophrenia

25. Genome-wide association analysis identifies 13 new risk loci for schizophrenia

26. Catholic Charities, Archdiocese of New York: History of the Foundation and Services of the Lower Manhattan Branch Office, 1959-1962

27. Genome-wide association analysis identifies 13 new risk loci for schizophrenia.

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27 results on '"O'Neill, Francis A."'

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