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Interaction Testing and Polygenic Risk Scoring to Estimate the Association of Common Genetic Variants With Treatment Resistance in Schizophrenia

Authors :
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.
Walter, James, T.
Homman, Lina
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.
Walter, James, T.
Homman, Lina
Publication Year :
2022

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

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1348930465
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1001.jamapsychiatry.2021.3799