Harman Singh Brah, Nimrat Sran, Sanjana Sanghani, Luke Valmadrid, Isabel Gandarilla, Savannah Fakhouri, Emma Longmire, Karen M Heskett, Kimberley Marie Kendall, Armin Raznahan, Danielle Baribeau, Chun Chieh Fan, Aaron D Besterman
{"title":"精神分裂症的临床基因检测:系统回顾和荟萃分析。","authors":"Harman Singh Brah, Nimrat Sran, Sanjana Sanghani, Luke Valmadrid, Isabel Gandarilla, Savannah Fakhouri, Emma Longmire, Karen M Heskett, Kimberley Marie Kendall, Armin Raznahan, Danielle Baribeau, Chun Chieh Fan, Aaron D Besterman","doi":"10.1016/j.biopsych.2025.09.010","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Genetic testing may provide important diagnostic information for individuals with schizophrenia, but the frequency with which clinically significant variants are identified across different testing approaches has not been systematically evaluated.</p><p><strong>Methods: </strong>We conducted a systematic review and meta-analysis searching MEDLINE, EMBASE, and APA PsycINFO (January 2007-June 2023) for studies reporting results of clinical genetic testing in schizophrenia. Two independent reviewers performed abstract/title screening, full-text review, and data extraction following PRISMA guidelines. A random-effects model was used to estimate the pooled and platform-specific proportions of individuals with pathogenic or likely pathogenic variants, with heterogeneity assessed using the I<sup>2</sup> statistic.</p><p><strong>Results: </strong>Analysis of 31 studies (20,476 participants) showed that 6% (95% CI: 4% to 7%) of individuals with schizophrenia had a clinically significant genetic variant identified. Detection rates were 6% (95% CI: 4% to 8%) for chromosomal microarray, 5% (95% CI: -0.02% to 12%) for exome sequencing, and 7% (95% CI: 2% to 12%) for genome sequencing. Substantial heterogeneity was observed across studies (I<sup>2</sup> = 95.9%). Geographic representation was limited, with no studies from Latin America, South Asia, or Africa.</p><p><strong>Conclusions: </strong>Genetic testing identifies clinically informative variants in approximately 6% of individuals with schizophrenia. However, substantial heterogeneity across studies and limited geographic representation underscore the need for more standardized testing approaches and broader population sampling in future genetic research on schizophrenia.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.0000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clinical Genetic Testing in Schizophrenia: A Systematic Review and Meta-Analysis.\",\"authors\":\"Harman Singh Brah, Nimrat Sran, Sanjana Sanghani, Luke Valmadrid, Isabel Gandarilla, Savannah Fakhouri, Emma Longmire, Karen M Heskett, Kimberley Marie Kendall, Armin Raznahan, Danielle Baribeau, Chun Chieh Fan, Aaron D Besterman\",\"doi\":\"10.1016/j.biopsych.2025.09.010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Genetic testing may provide important diagnostic information for individuals with schizophrenia, but the frequency with which clinically significant variants are identified across different testing approaches has not been systematically evaluated.</p><p><strong>Methods: </strong>We conducted a systematic review and meta-analysis searching MEDLINE, EMBASE, and APA PsycINFO (January 2007-June 2023) for studies reporting results of clinical genetic testing in schizophrenia. Two independent reviewers performed abstract/title screening, full-text review, and data extraction following PRISMA guidelines. A random-effects model was used to estimate the pooled and platform-specific proportions of individuals with pathogenic or likely pathogenic variants, with heterogeneity assessed using the I<sup>2</sup> statistic.</p><p><strong>Results: </strong>Analysis of 31 studies (20,476 participants) showed that 6% (95% CI: 4% to 7%) of individuals with schizophrenia had a clinically significant genetic variant identified. Detection rates were 6% (95% CI: 4% to 8%) for chromosomal microarray, 5% (95% CI: -0.02% to 12%) for exome sequencing, and 7% (95% CI: 2% to 12%) for genome sequencing. Substantial heterogeneity was observed across studies (I<sup>2</sup> = 95.9%). Geographic representation was limited, with no studies from Latin America, South Asia, or Africa.</p><p><strong>Conclusions: </strong>Genetic testing identifies clinically informative variants in approximately 6% of individuals with schizophrenia. However, substantial heterogeneity across studies and limited geographic representation underscore the need for more standardized testing approaches and broader population sampling in future genetic research on schizophrenia.</p>\",\"PeriodicalId\":8918,\"journal\":{\"name\":\"Biological Psychiatry\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":9.0000,\"publicationDate\":\"2025-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biological Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.biopsych.2025.09.010\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.biopsych.2025.09.010","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
Clinical Genetic Testing in Schizophrenia: A Systematic Review and Meta-Analysis.
Background: Genetic testing may provide important diagnostic information for individuals with schizophrenia, but the frequency with which clinically significant variants are identified across different testing approaches has not been systematically evaluated.
Methods: We conducted a systematic review and meta-analysis searching MEDLINE, EMBASE, and APA PsycINFO (January 2007-June 2023) for studies reporting results of clinical genetic testing in schizophrenia. Two independent reviewers performed abstract/title screening, full-text review, and data extraction following PRISMA guidelines. A random-effects model was used to estimate the pooled and platform-specific proportions of individuals with pathogenic or likely pathogenic variants, with heterogeneity assessed using the I2 statistic.
Results: Analysis of 31 studies (20,476 participants) showed that 6% (95% CI: 4% to 7%) of individuals with schizophrenia had a clinically significant genetic variant identified. Detection rates were 6% (95% CI: 4% to 8%) for chromosomal microarray, 5% (95% CI: -0.02% to 12%) for exome sequencing, and 7% (95% CI: 2% to 12%) for genome sequencing. Substantial heterogeneity was observed across studies (I2 = 95.9%). Geographic representation was limited, with no studies from Latin America, South Asia, or Africa.
Conclusions: Genetic testing identifies clinically informative variants in approximately 6% of individuals with schizophrenia. However, substantial heterogeneity across studies and limited geographic representation underscore the need for more standardized testing approaches and broader population sampling in future genetic research on schizophrenia.
期刊介绍:
Biological Psychiatry is an official journal of the Society of Biological Psychiatry and was established in 1969. It is the first journal in the Biological Psychiatry family, which also includes Biological Psychiatry: Cognitive Neuroscience and Neuroimaging and Biological Psychiatry: Global Open Science. The Society's main goal is to promote excellence in scientific research and education in the fields related to the nature, causes, mechanisms, and treatments of disorders pertaining to thought, emotion, and behavior. To fulfill this mission, Biological Psychiatry publishes peer-reviewed, rapid-publication articles that present new findings from original basic, translational, and clinical mechanistic research, ultimately advancing our understanding of psychiatric disorders and their treatment. The journal also encourages the submission of reviews and commentaries on current research and topics of interest.