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PMID: 31026599 Published · ppublish English

A Reference System for BRCA Mutation Detection Based on Next-Generation Sequencing in the Chinese Population.

The Journal of molecular diagnostics : JMD ·Vol. 21 ·No. 4 ·2019-00-00

Qu S, Chen Q, Yi Y, Shao K, Zhang W, Wang Y, Bai J, Li X, Liu Z, Wang X, Jing R, Guan Y, Yi X, Yan M, Cao B, Chen F, Zhu S, Yang X, Wu Y, Huang J

Abstract

The absence of interpretation guidelines and limited data on BRCA1/2 mutations in the Chinese population have impeded the detection of BRCA variants based on next-generation sequencing (NGS) in China. This study was performed to establish a reference system for performance evaluation of BRCA genetic testing and variant interpretation, which includes interpretation rules, reference materials (RMs), and a reference database (RD). BRCA1/2 mutations identified in cell lines and clinical cases were selected to establish RMs. All mutations were detected by NGS and validated by Sanger sequencing. Variant call format files and standard variant data sets were collected and annotated to build the RD. Participant laboratories were invited to validate this reference system. Interpretation rules for BRCA variants in the Chinese population were generated as a standard for BRCA variant interpretation. Mutational analysis demonstrated that BRCA2 mutations (55%) were more common than BRCA1 mutations (45%) in Chinese patients. Eliminating duplicates from 19,886 variants, the RD contained 750 unique BRCA mutations. Most BRCA1/2 mutations in the reference system were pathogenic or likely pathogenic (RMs, 77.5%; RD, 57%). In total, 91 novel pathogenic/likely pathogenic variants were identified in the RD. The reference system can contribute to NGS performance and high-quality interpretation to facilitate clinical decision making. It could also accelerate the development and application of BRCA mutation detection technologies in China.

MeSH 主题词
Asians/genetics BRCA1 Protein/genetics BRCA2 Protein/genetics China DNA Mutational Analysis Databases, Genetic Genetics, Population High-Throughput Nucleotide Sequencing Humans Mutation Web Browser
Article Info
Journal
The Journal of molecular diagnostics : JMD
Abbr.
J Mol Diagn
ISSN
1943-7811
Published
2019-00-00
Language
English
Country/Region
United States
NLM ID
100893612
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