口译(哲学)
一致性(知识库)
癌症
水准点(测量)
计算生物学
生殖系
遗传学
基因组学
生物
医学遗传学
计算机科学
基因
生物信息学
人工智能
基因组
地理
程序设计语言
大地测量学
作者
Hong Li,Shuixia Liu,Shuangying Wang,Quanlei Zeng,Yulan Chen,Ting Fang,Yi Zhang,Ying Zhou,Yu Zhang,Kaiyue Wang,Zhangwei Yan,Cuicui Qiang,Meng Xu,Xianghua Chai,Yuying Yuan,Ming Huang,Hongyun Zhang,Yun Xiong
摘要
Cancer is one of the most important health issues globally and the accuracy of interpretation of cancer-related variants is critical for the clinical management of hereditary cancer. ClinGen Sequence Variant Interpretation Working Groups have developed many adaptations of American College of Medical Genetics and Genomics and the Association of Molecular Pathologists guidelines to improve the consistency of interpretation. We combined the most recent adaptations to expand the number of the criteria from 28 to 48 and developed a tool called Cancer SIGVAR to help genetic counselors interpret the clinical significance of cancer germline variants. Our tool can accept VCF files as input and realize fully automated interpretation based on 21 criteria and semiautomated interpretation based on 48 criteria. We validated the performance of our tool with the ClinVar and CLINVITAE benchmark databases, achieving an average consistency for pathogenic and benign assessment up to 93.71% and 79.38%, respectively. We compared Cancer SIGVAR with two similar tools, InterVar and PathoMAN, and analyzed the main differences in criteria and implementation. Furthermore, we selected 911 variants from another two in-house benchmark databases, and semiautomated interpretation reached an average classification consistency of 98.35%. Our findings highlight the need to optimize automated interpretation tools based on constantly updated guidelines. Cancer SIGVAR is publicly available at http://cancersigvar.bgi.com/.
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