Institute of Human Genetics, Medical Faculty, University of Bonn, Bonn, Germany.
Department of Human Genetics, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands.
Eur J Med Genet. 2022 May;65(5):104475. doi: 10.1016/j.ejmg.2022.104475. Epub 2022 Mar 11.
Patients and families with suspected, but genetically unexplained (unsolved) genetic tumour risk syndromes lack appropriate treatment and prevention, leading to preventable morbidity and mortality. To tackle this problem, patients from the European Reference Network on Genetic Tumour Risk Syndromes (ERN GENTURIS) are analysed in the European Commission's research project "Solving the unsolved rare diseases" (Solve-RD). The aim is to uncover known and novel cancer predisposing genes by reanalysing available whole-exome sequencing (WES) data of large cohorts in a combined manner, and applying a multidimensional omics approach.
Around 500 genetically unsolved cases with suspected hereditary gastrointestinal tumour syndromes (polyposis, early-onset/familial colorectal cancer and gastric cancer) from multiple European centres are aimed to be included. Currently, clinical and germline WES data from 294 cases have been analysed. In addition, an extensive molecular profiling of gastrointestinal tumours from these patients is planned and deep learning techniques will be applied. The ambitious, multidisciplinary project is accompanied by a number of methodical, technical, and logistic challenges, which require the development and implementation of new analysis tools, the standardisation of bioinformatics pipelines, and strategies to exchange data and knowledge.
and Outlook. The first re-analysis of 229 known and proposed cancer predisposition genes allowed solving 2-3% of previously unsolved GENTURIS cases. The integration of expert knowledge and new technologies will help to identify the genetic basis of additional unsolved cases within the ongoing project. The ERN GENTURIS approach might serve as a model for other genomic initiatives.
患有疑似但遗传原因不明(未解决)的遗传肿瘤风险综合征的患者和家属缺乏适当的治疗和预防措施,导致可预防的发病率和死亡率。为了解决这个问题,欧洲遗传肿瘤风险综合征参考网络(ERN GENTURIS)的患者在欧盟委员会的研究项目“解决未解决的罕见疾病”(Solve-RD)中进行了分析。目的是通过联合重新分析大型队列的可用全外显子组测序(WES)数据,并应用多维组学方法,揭示已知和新的癌症易感基因。
计划纳入来自多个欧洲中心的约 500 例疑似遗传性胃肠道肿瘤综合征(息肉病、早发/家族性结直肠癌和胃癌)的遗传未解决病例。目前,已分析了 294 例病例的临床和种系 WES 数据。此外,计划对这些患者的胃肠道肿瘤进行广泛的分子分析,并应用深度学习技术。这个雄心勃勃的多学科项目伴随着许多方法学、技术和物流方面的挑战,需要开发和实施新的分析工具、生物信息学管道的标准化以及数据和知识交换策略。
结果和展望。对 229 个已知和提议的癌症易感性基因的首次重新分析,解决了 2-3%的先前未解决的 GENTURIS 病例。整合专家知识和新技术将有助于在正在进行的项目中确定额外未解决病例的遗传基础。ERN GENTURIS 方法可能成为其他基因组学计划的典范。