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Interaction Testing and Polygenic Risk Scoring to Estimate the Association of Common Genetic Variants With Treatment Resistance in Schizophrenia.
JAMA Psychiatry ( IF 22.5 ) Pub Date : 2022-03-01 , DOI: 10.1001/jamapsychiatry.2021.3799
Antonio F Pardiñas 1 , Sophie E Smart 1, 2 , Isabella R Willcocks 1 , Peter A Holmans 1 , Charlotte A Dennison 1 , Amy J Lynham 1 , Sophie E Legge 1 , Bernhard T Baune 3, 4, 5 , Tim B Bigdeli 6, 7, 8 , Murray J Cairns 9, 10, 11 , Aiden Corvin 12 , Ayman H Fanous 6, 7 , Josef Frank 13 , Brian Kelly 14 , Andrew McQuillin 15 , Ingrid Melle 16, 17 , Preben B Mortensen 18, 19 , Bryan J Mowry 20, 21 , Carlos N Pato 7, 22, 23 , Sathish Periyasamy 20, 21 , Marcella Rietschel 13 , Dan Rujescu 24, 25 , Carmen Simonsen 16, 26 , David St Clair 27 , Paul Tooney 9, 11 , Jing Qin Wu 28 , Ole A Andreassen 16, 17 , Kaarina Kowalec 29, 30 , Patrick F Sullivan 30, 31, 32 , Robin M Murray 2 , Michael J Owen 1 , James H MacCabe 2 , Michael C O'Donovan 1 , James T R Walters 1 , , Olesya Ajnakina 33, 34 , Luis Alameda 2, 35, 36, 37 , Thomas R E Barnes 38 , Domenico Berardi 39 , Elena Bonora 40 , Sara Camporesi 37, 41 , Martine Cleusix 41 , Philippe Conus 37 , Benedicto Crespo-Facorro 35, 36 , Giuseppe D'Andrea 39 , Arsime Demjaha 2 , Kim Q Do 41 , Gillian A Doody 42 , Chin B Eap 43, 44, 45, 46 , Aziz Ferchiou 47 , Marta Di Forti 48, 49 , Lorenzo Guidi 40 , Lina Homman 50, 51 , Raoul Jenni 41 , Eileen M Joyce 52 , Laura Kassoumeri 2 , Inès Khadimallah 41 , Ornella Lastrina 39 , Roberto Muratori 40 , Handan Noyan 53 , Francis A O'Neill 51 , Baptiste Pignon 47, 54 , Romeo Restellini 37, 41 , Jean-Romain Richard 47 , Franck Schürhoff 47, 54 , Filip Španiel 55, 56 , Andrei Szöke 47, 54 , Ilaria Tarricone 40 , Andrea Tortelli 47, 57 , Alp Üçok 58 , Javier Vázquez-Bourgon 59, 60, 61
Affiliation  

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.

中文翻译:

相互作用测试和多基因风险评分以估计常见遗传变异与精神分裂症治疗耐药性的关联。

重要性 大约 20% 到 30% 的精神分裂症患者有精神病症状,这些症状对一线抗精神病药物治疗反应不佳。这种慢性和高度致残的临床表现被称为难治性精神分裂症 (TRS)。治疗抵抗的原因及其与精神分裂症潜在原因的关系在很大程度上是未知的。由于难以从特征明确的 TRS 队列中收集数据,因此缺乏足够有力的 TRS 遗传学研究。目的 通过重新评估精神分裂症研究的遗传数据及其在仔细确定的临床样本中的验证来检查 TRS 的遗传结构。设计、设置、和参与者 进行了两项精神分裂症病例对照全基因组关联研究 (GWAS),其中病例样本被定义为患有 TRS 的个体 (n = 10 501) 和患有非 TRS 的个体 (n = 20 325)。然后确定了两项研究之间等位基因关联的效应量差异,原因是这种差异反映了治疗抵抗而不是精神分裂症。从 CLOZUK 和 Psychiatric Genomics Consortium (PGC) 精神分裂症研究中检索基因型数据。使用 2 个具有 TRS 和非 TRS 的独立精神分裂症队列的多基因风险评分 (PRS) 分析来验证输出:817 人的患病率样本(精神分裂症的卡迪夫认知 [CardiffCOGS])和 563 人的发病率样本(精神分裂症治疗耐药性和治疗进展的遗传学工作流 [STRATA-G])。精神分裂症治疗耐药性的主要结果和测量 GWAS。GWAS 的结果通过遗传相关性方法与复杂的多基因性状进行比较,并用于使用相同 TRS 定义的独立验证队列的 PRS 分析。结果 该研究共包括 85490 名处于 GWAS 阶段的参与者(48635 [56.9%] 男性)和 1380 名处于 PRS 验证阶段的参与者(859 [62.2%] 男性)。精神分裂症的治疗耐药性表现为具有可检测遗传性(1% 至 4%)的多基因特征,并且发现与智力和认知相关的几个特征与其具有遗传相关性(遗传相关性,0.41-0.69)。CardiffCOGS 患病率样本中的 PRS 分析显示 TRS 与服用氯氮平的历史呈正相关(r2 = 2.03%;P = .001),这在 STRATA-G 发病率样本中得到复制(r2 = 1.09%;P = . 04). 结论和相关性 在此 GWAS 中,常见的遗传变异与 TRS 有差异关联,并且这些关联可能已通过先前广泛定义的精神分裂症研究中大量 GWAS 样本的合并而被掩盖。这项研究的结果表明元分析方法对研究患者结果(包括治疗耐药性)的有效性。CardiffCOGS 患病率样本中的 PRS 分析显示 TRS 与服用氯氮平的历史呈正相关(r2 = 2.03%;P = .001),这在 STRATA-G 发病率样本中得到复制(r2 = 1.09%;P = . 04). 结论和相关性 在此 GWAS 中,常见的遗传变异与 TRS 有差异关联,并且这些关联可能已通过先前广泛定义的精神分裂症研究中大量 GWAS 样本的合并而被掩盖。这项研究的结果表明元分析方法对研究患者结果(包括治疗耐药性)的有效性。CardiffCOGS 患病率样本中的 PRS 分析显示 TRS 与服用氯氮平的历史呈正相关(r2 = 2.03%;P = .001),这在 STRATA-G 发病率样本中得到复制(r2 = 1.09%;P = . 04). 结论和相关性 在此 GWAS 中,常见的遗传变异与 TRS 有差异关联,并且这些关联可能已通过先前广泛定义的精神分裂症研究中大量 GWAS 样本的合并而被掩盖。这项研究的结果表明元分析方法对研究患者结果(包括治疗耐药性)的有效性。常见的遗传变异与 TRS 有差异关联,并且这些关联可能已通过先前广泛定义的精神分裂症研究中大量 GWAS 样本的合并而被掩盖。这项研究的结果表明元分析方法对研究患者结果(包括治疗耐药性)的有效性。常见的遗传变异与 TRS 有差异关联,并且这些关联可能已通过先前广泛定义的精神分裂症研究中大量 GWAS 样本的合并而被掩盖。这项研究的结果表明元分析方法对研究患者结果(包括治疗耐药性)的有效性。
更新日期:2022-01-12
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