Home > Browse Issues > Vol.41 No.7

Research Progress on High-Throughput Automated SNP Detection Technology



Su Rui, Lin Jun, Chen Liqun*, Cai Weiwen*

(College of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China)
Abstract:

As the third-generation molecular genetic marker, single nucleotide polymorphism (SNP) has received extensive attention due to its research importance in the fields of genetics and medicine. It is necessary to establish a high-throughput automated SNP detection technology. This paper briefly summarizes the principles, applications and characteristics of representative traditional SNP detection methods: single-strand conformation polymorphism and restriction fragment length polymorphism. A detailed overview of several representative highthroughput automated SNP detection methods: Sanger sequencing, pyrosequencing, MassARRAY (sequencing), gene chip, including their principles, applications and characteristics. Moreover, the way to the high-throughput automated genotyping in the future is briefly discussed.



CSTR: 32200.14.cjcb.2019.07.0022