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Hereditas(Beijing) ›› 2018, Vol. 40 ›› Issue (11): 1015-1023.doi: 10.16288/j.yczz.18-274

• Orginal Article • Previous Articles     Next Articles

Application of BIG-Annotator in the genome sequencing data functional annotation and genetic diagnosis

Ying Huang1,2,Qi Liu1,Lianjiang Chi1,Chengmin Shi1,Zhen Wu1,Min Hu3,Hong Shi4,Hua Chen1,2()   

  1. 1. CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
    2. School of Future Technology, University of Chinese Academy of Sciences, Beijing 100094, China
    3. Yunnan Key Laboratory of Basic Research on Bone and Joint Diseases, Kunming 650214, China
    4. Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
  • Received:2018-09-29 Revised:2018-11-02 Online:2018-11-20 Published:2018-11-06
  • Contact: Chen Hua E-mail:chenh@big.ac.cn
  • Supported by:
    Supported by the National Natural Science Foundation of China(31571370);Supported by the National Natural Science Foundation of China(91631106);the “Hundred Talents Program” of Chinese Academy of Sciences

Abstract:

The next generation sequencing (NGS) technology has been playing important roles in genetic diagnosis of diseases in recent years, and serving as a technological basis of precision medicine. In analyzing NGS data, the variant annotation is an important step. In this study, we developed a computationally efficient software (BIG-Annotator) to perform functional annotation for whole-genome single nucleotide polymorphisms. BIG-Annotator integrates the widely used databases and pipelines for variant annotation of genetic diseases and tumors, and follows the 2015 ACMG-AMP Standard Guide for Interpretation and Reporting of Clinical Variants. BIG-Annotator is ten times faster than the existing software, and suitable for annotating genomic sequencing data from large samples. Here we present two analysis cases of genetic diagnosis using BIG-Annotator to show its applications.

Key words: NGS, variant annotation, genetic diagnosis, precision medicine