{"title":"青少年原发性中枢神经系统癌症的基因组鉴定。","authors":"Douglas R Stewart","doi":"10.1093/noajnl/vdae048","DOIUrl":null,"url":null,"abstract":"<p><p>Genomic ascertainment is the inversion of the traditional phenotype-first approach; with a \"genome-first\" approach, a cohort linked to electronic health records (EHR) undergoes germline sequencing (array, panel, exome, and genome) and deleterious variation of interest in a gene (or set of genes) are identified. Phenotype is then queried from the linked EHR and from call-back investigation and estimates of variant prevalence, disease penetrance, and phenotype can be determined. This should permit a better estimate of the full phenotypic spectrum, severity, and penetrance linked to a deleterious variant. For now, given the modest size, limited EHR, and age of participants in sequenced cohorts, genomic ascertainment approaches to investigate cancer in children and young adults will likely be restricted to descriptive studies and complement traditional phenotype-first work. Another issue is the ascertainment of the cohort itself: Participants need to survive long enough to enroll. Not accounting for this may lead to bias and incorrect estimates of variant prevalence. Adult-focused cohorts with EHR extending back into childhood, linked to cancer registries, and/or studies that permit recontact with participants may facilitate genomic ascertainment in pediatric cancer research. In summary, genomic ascertainment in pediatric primary brain cancer research remains largely untapped and merits further investigation.</p>","PeriodicalId":94157,"journal":{"name":"Neuro-oncology advances","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11125399/pdf/","citationCount":"0","resultStr":"{\"title\":\"Genomic ascertainment of primary central nervous system cancers in adolescents and young adults.\",\"authors\":\"Douglas R Stewart\",\"doi\":\"10.1093/noajnl/vdae048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Genomic ascertainment is the inversion of the traditional phenotype-first approach; with a \\\"genome-first\\\" approach, a cohort linked to electronic health records (EHR) undergoes germline sequencing (array, panel, exome, and genome) and deleterious variation of interest in a gene (or set of genes) are identified. Phenotype is then queried from the linked EHR and from call-back investigation and estimates of variant prevalence, disease penetrance, and phenotype can be determined. This should permit a better estimate of the full phenotypic spectrum, severity, and penetrance linked to a deleterious variant. For now, given the modest size, limited EHR, and age of participants in sequenced cohorts, genomic ascertainment approaches to investigate cancer in children and young adults will likely be restricted to descriptive studies and complement traditional phenotype-first work. Another issue is the ascertainment of the cohort itself: Participants need to survive long enough to enroll. Not accounting for this may lead to bias and incorrect estimates of variant prevalence. Adult-focused cohorts with EHR extending back into childhood, linked to cancer registries, and/or studies that permit recontact with participants may facilitate genomic ascertainment in pediatric cancer research. In summary, genomic ascertainment in pediatric primary brain cancer research remains largely untapped and merits further investigation.</p>\",\"PeriodicalId\":94157,\"journal\":{\"name\":\"Neuro-oncology advances\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11125399/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuro-oncology advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/noajnl/vdae048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuro-oncology advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/noajnl/vdae048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
基因组确定是传统的 "表型优先 "方法的反转;在 "基因组优先 "方法中,与电子健康记录(EHR)相连的队列进行种系测序(阵列、面板、外显子组和基因组),并确定基因(或一组基因)中感兴趣的有害变异。然后从链接的 EHR 和回调调查中查询表型,并确定变异流行率、疾病渗透率和表型的估计值。这样就能更好地估计与有害变异相关的全部表型谱、严重程度和渗透率。目前,鉴于测序队列的规模不大、电子病历有限以及参与者的年龄,调查儿童和青少年癌症的基因组确定方法可能仅限于描述性研究,并对传统的表型优先工作进行补充。另一个问题是队列本身的确定:参与者需要存活足够长的时间才能注册。如果不考虑这一点,可能会导致偏差和对变异流行率的错误估计。以成人为中心的队列,其电子病历可追溯到儿童时期,与癌症登记处相连接,和/或允许与参与者重新联系的研究,可促进儿科癌症研究中的基因组确定工作。总之,儿科原发性脑癌研究中的基因组确定工作在很大程度上仍有待开发,值得进一步研究。
Genomic ascertainment of primary central nervous system cancers in adolescents and young adults.
Genomic ascertainment is the inversion of the traditional phenotype-first approach; with a "genome-first" approach, a cohort linked to electronic health records (EHR) undergoes germline sequencing (array, panel, exome, and genome) and deleterious variation of interest in a gene (or set of genes) are identified. Phenotype is then queried from the linked EHR and from call-back investigation and estimates of variant prevalence, disease penetrance, and phenotype can be determined. This should permit a better estimate of the full phenotypic spectrum, severity, and penetrance linked to a deleterious variant. For now, given the modest size, limited EHR, and age of participants in sequenced cohorts, genomic ascertainment approaches to investigate cancer in children and young adults will likely be restricted to descriptive studies and complement traditional phenotype-first work. Another issue is the ascertainment of the cohort itself: Participants need to survive long enough to enroll. Not accounting for this may lead to bias and incorrect estimates of variant prevalence. Adult-focused cohorts with EHR extending back into childhood, linked to cancer registries, and/or studies that permit recontact with participants may facilitate genomic ascertainment in pediatric cancer research. In summary, genomic ascertainment in pediatric primary brain cancer research remains largely untapped and merits further investigation.