GADGET
GADGET stands for GlobAl Distribution of GEnetic Traits. The GADGET approach rests on the axioms that (1) human populations show striking variation for a wide variety of traits (phenotypes), and (2) virtually all human traits are heritable. The specific genetic variants that influence the expression of heritable human traits can be uncovered by genome-wide association studies (GWAS); hundreds of such studies have discovered thousands of trait-associated variants (alleles). It follows that analysis of the global variation of trait-associated alleles, i.e. how they are distributed among human populations and population groups, can shed light on the genetic basis of human phenotypic diversity. GADGET provides users with a visual platform for exploring the genetic basis of human diversity by calculating polygenic trait scores (PTS – see Learn page for more details) for numerous human traits and visualizing their distributions across global populations.
Citation
A paper describing the GADGET web server is in press at Nucleic Acids Research:
Chande A.T., Wang, L., Rishishwar, L., Conley, A.B., Norris, E.T., Valderrama-Aguirre, A., and I.K. Jordan (2018) GlobAl Distribution of GEnetic Traits (GADGET) web server: polygenic trait scores worldwide. Nucleic Acids Res. 
Development Team
GADGET is developed by the Jordan Lab at the Georgia Institute of Technology. Bioinformatics PhD student Aroon Chande is the lead developer. The code for the Compute module is available here: https://github.com/jordanlab/GADGET_computeThe code for the Compute module is available here: https://github.com/jordanlab/GADGET_explore