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Reliable assessment of BRCA1 and BRCA2 germline variants by next-generation sequencing: a multicenter study.

Rui ZhangPeng GaoYanxi HanRunling ZhangPing TanLi ZhouJiawei ZhangJiehong XieJinming Li
Published in: Breast cancer (Tokyo, Japan) (2021)
The BRCA1/2 variant detection performance should be further improved, especially in reporting the correct genome coordinates. Inconsistent variant classification may be a result of the different clinical pieces of evidence collected by the laboratories. However, discordant clinical evidence also appeared within the same classification results. Therefore, our study provided clear clinical evidence assessment strategies for BRCA1/2 variants, which was aimed at obtaining a consistent variant classification strategy for providing accurate clinical reports to the clinicians.
Keyphrases
  • machine learning
  • deep learning
  • copy number
  • dna methylation
  • dna repair
  • dna damage
  • quantum dots
  • real time pcr