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Cancer SIGVAR: A semiautomated interpretation tool for germline variants of hereditary cancer-related genes.
Li, Hong; Liu, Shuixia; Wang, Shuangying; Zeng, Quanlei; Chen, Yulan; Fang, Ting; Zhang, Yi; Zhou, Ying; Zhang, Yu; Wang, Kaiyue; Yan, Zhangwei; Qiang, Cuicui; Xu, Meng; Chai, Xianghua; Yuan, Yuying; Huang, Ming; Zhang, Hongyun; Xiong, Yun.
Afiliación
  • Li H; BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, WuHan, China.
  • Liu S; BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, WuHan, China.
  • Wang S; BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, WuHan, China.
  • Zeng Q; BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, WuHan, China.
  • Chen Y; BGI Genomics, BGI-Shenzhen, ShenZhen, China.
  • Fang T; BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, WuHan, China.
  • Zhang Y; BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, WuHan, China.
  • Zhou Y; BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, WuHan, China.
  • Zhang Y; BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, WuHan, China.
  • Wang K; BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, WuHan, China.
  • Yan Z; BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, WuHan, China.
  • Qiang C; BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, WuHan, China.
  • Xu M; BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, WuHan, China.
  • Chai X; BGI Genomics, BGI-Shenzhen, ShenZhen, China.
  • Yuan Y; BGI Genomics, BGI-Shenzhen, ShenZhen, China.
  • Huang M; BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, WuHan, China.
  • Zhang H; BGI Genomics, BGI-Shenzhen, ShenZhen, China.
  • Xiong Y; BGI-Wuhan Clinical Laboratories, BGI-Shenzhen, WuHan, China.
Hum Mutat ; 42(4): 359-372, 2021 04.
Article en En | MEDLINE | ID: mdl-33565189
ABSTRACT
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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Predisposición Genética a la Enfermedad / Neoplasias Tipo de estudio: Guideline / Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Predisposición Genética a la Enfermedad / Neoplasias Tipo de estudio: Guideline / Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Año: 2021 Tipo del documento: Article