[A consensus on the standardization of the next generation sequencing process for the diagnosis of genetic diseases (3) - Data analysis]

Zhonghua Yi Xue Yi Chuan Xue Za Zhi. 2020 Mar 10;37(3):345-351. doi: 10.3760/cma.j.issn.1003-9406.2020.03.021.
[Article in Chinese]

Abstract

Bioinformatic analysis and variant classification are the key components of high-throughput sequencing-based genetic diagnostic approach. This consensus is part of the effort to develop a standardized process for next generation sequencing (NGS)-based test for germline mutations underlying Mendelian disorders in China. The flow-chart, common software, key parameters of bioinformatics pipeline for data processing, annotation, storage and variant classification are reviewed, which is aimed to help improving and maintaining a high-quality process and obtaining consistent outcomes for NGS-based molecular diagnosis.

Publication types

  • Review

MeSH terms

  • China
  • Computational Biology
  • Consensus
  • Data Analysis
  • Genetic Diseases, Inborn / diagnosis*
  • Genetic Testing / standards*
  • High-Throughput Nucleotide Sequencing / standards*
  • Humans
  • Software