PGG is a suite of databases and toolkit focusing on the diverse research fields of human Population Genomics and Genetics (PGG). Currently, the suite includes 2 databases (PGG.Population and PGG.SNV) and 1 web toolkit (PGG.Tools, under construction). PGG.Population is a database for understanding genomic diversity and genetic ancestry of human populations. It includes miscellaneous functions and a friendly graphical user interface to visualize genomic diversity, population relationship, ancestral makeup, footprints of natural selection, and population history etc. PGG.SNV is database for understanding evolutionary and medical implications of human single nucleotide variation (SNV) on population levels. It now documents more than 300,000 genomes and 10 billion allele frequencies records for diverse human ethnic groups. PGG.Tools is a web-based toolkit or servers for analyzing huge genomic data. Currently, it is under construction.
On the other hand, PGG denotes our research group name. Officially set up in January 2012 by Prof. Dr. Shuhua Xu at the Partner Institute for Computational Biology, The Max Planck Independent Research Group on Population Genomics (PGG) focused on population genomics research of human admixture history and biological adaptation to the local environment. Population Genomics is a disciplinary to infer population genetic and evolutionary parameters from genome-wide data sets. The ultimate goal of this research group is to understand microevolution mechanisms in human, while genetic admixture was taken as a cut-in point to pursue this ambition. Dr. Xu's group is using computational approaches and developing new methods to dissect genetic architecture of human populations, quantitatively characterize their admixture features, and reveal their migration history and adaptive divergence.
The Strategic Priority Research Program (XDB13040100) and Key Research Program of Frontier Sciences (QYZDJ-SSW-SYS009) of the Chinese Academy of Sciences (CAS) to S.X., the National Natural Science Foundation of China (NSFC) grant (91331204 and 31711530221 to S.X.; 31501011 to Y.L.), the National Science Fund for Distinguished Young Scholars (31525014 to S.X.), the Program of Shanghai Academic Research Leader (16XD1404700 to S.X.), and the National Key Research and Development Program (2016YFC0906403 to S.X.); Science and Technology Commission of Shanghai Municipality (STCSM) (14YF1406800 to Y.L.); S.X. is Max-Planck Independent Research Group Leader and member of CAS Youth Innovation Promotion Association. S.X. also gratefully acknowledges the support of the National Program for Top-notch Young Innovative Talents of The "Wanren Jihua" Project. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.