PGG.SNV: understanding the evolutionary and medical implications of human single nucleotide variations in diverse populations

• Main Authors: Chao Zhang, Yang Gao, Zhilin Ning, Yan Lu, Xiaoxi Zhang, Jiaojiao Liu, Bo Xie, Zhe Xue, Xiaoji Wang, Kai Yuan, Xueling Ge, Yuwen Pan, Chang Liu, Lei Tian, Yuchen Wang, Dongsheng Lu, Boon-Peng Hoh, Shuhua Xu
• Format: Article
• Language: English
• Published: BMC 2019-10-01
• Series: Genome Biology
• Subjects: Human diversity; Population genetics and genomics; Single nucleotide variations; Indigenous populations; Population prevalence; Variant annotation
• Online Access: http://link.springer.com/article/10.1186/s13059-019-1838-5

Abstract Despite the tremendous growth of the DNA sequencing data in the last decade, our understanding of the human genome is still in its infancy. To understand the implications of genetic variants in the light of population genetics and molecular evolution, we developed a database, PGG.SNV (https://www.pggsnv.org), which gives much higher weight to previously under-investigated indigenous populations in Asia. PGG.SNV archives 265 million SNVs across 220,147 present-day genomes and 1018 ancient genomes, including 1009 newly sequenced genomes, representing 977 global populations. Moreover, estimation of population genetic diversity and evolutionary parameters is available in PGG.SNV, a unique feature compared with other databases.