| Literature DB >> 31640808 |
Chao Zhang1,2, Yang Gao1,3, Zhilin Ning1, Yan Lu1, Xiaoxi Zhang1,3, Jiaojiao Liu1,3, Bo Xie1, Zhe Xue1, Xiaoji Wang1, Kai Yuan1, Xueling Ge1, Yuwen Pan1, Chang Liu1, Lei Tian1, Yuchen Wang1, Dongsheng Lu1, Boon-Peng Hoh1,4, Shuhua Xu5,6,7,8.
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.Entities:
Keywords: Disease risk allele; Evolutionary conservation; Human diversity; Indigenous populations; Natural selection; Population genetics and genomics; Population prevalence; Single nucleotide variations; Variant annotation
Year: 2019 PMID： 31640808 PMCID： PMC6805450 DOI： 10.1186/s13059-019-1838-5
Source DB: PubMed Journal: Genome Biol ISSN： 1474-7596 Impact factor: 13.583