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Interaction Testing and Polygenic Risk Scoring to Estimate the Association of Common Genetic Variants With Treatment Resistance in Schizophrenia.
Pardiñas, Antonio F; Smart, Sophie E; Willcocks, Isabella R; Holmans, Peter A; Dennison, Charlotte A; Lynham, Amy J; Legge, Sophie E; Baune, Bernhard T; Bigdeli, Tim B; Cairns, Murray J; Corvin, Aiden; Fanous, Ayman H; Frank, Josef; Kelly, Brian; McQuillin, Andrew; Melle, Ingrid; Mortensen, Preben B; Mowry, Bryan J; Pato, Carlos N; Periyasamy, Sathish; Rietschel, Marcella; Rujescu, Dan; Simonsen, Carmen; St Clair, David; Tooney, Paul; Wu, Jing Qin; Andreassen, Ole A; Kowalec, Kaarina; Sullivan, Patrick F; Murray, Robin M; Owen, Michael J; MacCabe, James H; O'Donovan, Michael C; Walters, James T R; Ajnakina, Olesya; Alameda, Luis; Barnes, Thomas R E; Berardi, Domenico; Bonora, Elena; Camporesi, Sara; Cleusix, Martine; Conus, Philippe; Crespo-Facorro, Benedicto; D'Andrea, Giuseppe; Demjaha, Arsime; Do, Kim Q; Doody, Gillian A; Eap, Chin B; Ferchiou, Aziz; Di Forti, Marta.
Afiliação
  • Pardiñas AF; MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom.
  • Smart SE; MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom.
  • Willcocks IR; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
  • Holmans PA; MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom.
  • Dennison CA; MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom.
  • Lynham AJ; MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom.
  • Legge SE; MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom.
  • Baune BT; MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom.
  • Bigdeli TB; Department of Psychiatry, University of Münster, Münster, Germany.
  • Cairns MJ; Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Australia.
  • Corvin A; The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Australia.
  • Fanous AH; Department of Psychiatry and the Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn.
  • Frank J; Institute for Genomic Health, State University of New York Downstate Medical Center, Brooklyn.
  • Kelly B; Department of Psychiatry, Veterans Affairs New York Harbor Healthcare System, Brooklyn.
  • McQuillin A; School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia.
  • Melle I; Centre for Brain and Mental Health Research, University of Newcastle, Newcastle, Australia.
  • Mortensen PB; Hunter Medical Research Institute, Newcastle, Australia.
  • Mowry BJ; Neuropsychiatric Genetics Research Group, Department of Psychiatry, Trinity College Dublin, Dublin, Ireland.
  • Pato CN; Department of Psychiatry and the Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn.
  • Periyasamy S; Institute for Genomic Health, State University of New York Downstate Medical Center, Brooklyn.
  • Rietschel M; Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Mannheim, Germany.
  • Rujescu D; School of Medicine & Public Health, The University of Newcastle, Newcastle, Australia.
  • Simonsen C; Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, United Kingdom.
  • St Clair D; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
  • Tooney P; Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, Oslo, Norway.
  • Wu JQ; National Centre for Register-based Research, Aarhus University, Aarhus, Denmark.
  • Andreassen OA; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.
  • Kowalec K; Queensland Brain Institute, The University of Queensland, Brisbane, Australia.
  • Sullivan PF; Queensland Centre for Mental Health Research, The University of Queensland, Brisbane, Australia.
  • Murray RM; Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn.
  • Owen MJ; Department of Psychiatry and Zilkha Neurogenetics Institute, Keck School of Medicine, University of Southern California, Los Angeles.
  • MacCabe JH; Institute for Genomic Health, State University of New York Downstate Medical Center, Brooklyn.
  • O'Donovan MC; Queensland Brain Institute, The University of Queensland, Brisbane, Australia.
  • Walters JTR; Queensland Centre for Mental Health Research, The University of Queensland, Brisbane, Australia.
  • Ajnakina O; University Clinic and Outpatient Clinic for Psychiatry, Psychotherapy and Psychosomatics, Martin Luther University of Halle-Wittenberg, Halle, Germany.
  • Alameda L; Division of General Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
  • Barnes TRE; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
  • Berardi D; Early Intervention in Psychosis Advisory Unit for South-East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
  • Bonora E; Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom.
  • Camporesi S; School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia.
  • Cleusix M; Hunter Medical Research Institute, Newcastle, Australia.
  • Conus P; Baker Heart and Diabetes Institute, Melbourne, Australia.
  • Crespo-Facorro B; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
  • D'Andrea G; Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, Oslo, Norway.
  • Demjaha A; College of Pharmacy, University of Manitoba, Winnipeg, Manitoba, Canada.
  • Do KQ; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Doody GA; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Eap CB; Department of Psychiatry, Icahn School of Medicine, Mount Sinai Hospital, New York, New York.
  • Ferchiou A; Department of Genetics, University of North Carolina, Chapel Hill.
  • Di Forti M; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
JAMA Psychiatry ; 79(3): 260-269, 2022 Mar 01.
Article em En | MEDLINE | ID: mdl-35019943
ABSTRACT
IMPORTANCE About 20% to 30% of people with schizophrenia have psychotic symptoms that do not respond adequately to first-line antipsychotic treatment. This clinical presentation, chronic and highly disabling, is known as treatment-resistant schizophrenia (TRS). The causes of treatment resistance and their relationships with causes underlying schizophrenia are largely unknown. Adequately powered genetic studies of TRS are scarce because of the difficulty in collecting data from well-characterized TRS cohorts.

OBJECTIVE:

To examine the genetic architecture of TRS through the reassessment of genetic data from schizophrenia studies and its validation in carefully ascertained clinical samples. DESIGN, SETTING, AND

PARTICIPANTS:

Two case-control genome-wide association studies (GWASs) of schizophrenia were performed in which the case samples were defined as individuals with TRS (n = 10 501) and individuals with non-TRS (n = 20 325). The differences in effect sizes for allelic associations were then determined between both studies, the reasoning being such differences reflect treatment resistance instead of schizophrenia. Genotype data were retrieved from the CLOZUK and Psychiatric Genomics Consortium (PGC) schizophrenia studies. The output was validated using polygenic risk score (PRS) profiling of 2 independent schizophrenia cohorts with TRS and non-TRS a prevalence sample with 817 individuals (Cardiff Cognition in Schizophrenia [CardiffCOGS]) and an incidence sample with 563 individuals (Genetics Workstream of the Schizophrenia Treatment Resistance and Therapeutic Advances [STRATA-G]). MAIN OUTCOMES AND

MEASURES:

GWAS of treatment resistance in schizophrenia. The results of the GWAS were compared with complex polygenic traits through a genetic correlation approach and were used for PRS analysis on the independent validation cohorts using the same TRS definition.

RESULTS:

The study included a total of 85 490 participants (48 635 [56.9%] male) in its GWAS stage and 1380 participants (859 [62.2%] male) in its PRS validation stage. Treatment resistance in schizophrenia emerged as a polygenic trait with detectable heritability (1% to 4%), and several traits related to intelligence and cognition were found to be genetically correlated with it (genetic correlation, 0.41-0.69). PRS analysis in the CardiffCOGS prevalence sample showed a positive association between TRS and a history of taking clozapine (r2 = 2.03%; P = .001), which was replicated in the STRATA-G incidence sample (r2 = 1.09%; P = .04). CONCLUSIONS AND RELEVANCE In this GWAS, common genetic variants were differentially associated with TRS, and these associations may have been obscured through the amalgamation of large GWAS samples in previous studies of broadly defined schizophrenia. Findings of this study suggest the validity of meta-analytic approaches for studies on patient outcomes, including treatment resistance.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtornos Psicóticos / Esquizofrenia Tipo de estudo: Diagnostic_studies / Etiology_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Revista: JAMA Psychiatry Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtornos Psicóticos / Esquizofrenia Tipo de estudo: Diagnostic_studies / Etiology_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Revista: JAMA Psychiatry Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido