PGG.SNV: understanding the evolutionary and medical implications of human single nucleotide variations in diverse populations
Posted on 2019-10-23 - 08:28
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.
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Zhang, Chao; Gao, Yang; Ning, Zhilin; Lu, Yan; Zhang, Xiaoxi; Liu, Jiaojiao; et al. (2019). PGG.SNV: understanding the evolutionary and medical implications of human single nucleotide variations in diverse populations. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.4708904.v1
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AUTHORS (18)
CZ
Chao Zhang
YG
Yang Gao
ZN
Zhilin Ning
YL
Yan Lu
XZ
Xiaoxi Zhang
JL
Jiaojiao Liu
BX
Bo Xie
ZX
Zhe Xue
XW
Xiaoji Wang
KY
Kai Yuan
XG
Xueling Ge
YP
Yuwen Pan
CL
Chang Liu
LT
Lei Tian
YW
Yuchen Wang
DL
Dongsheng Lu
BH
Boon-Peng Hoh
SX
Shuhua Xu