GlobAl Distribution of GEnetic Traits (GADGET) web server: polygenic trait scores worldwide
| Autor: | Emily T. Norris, Lu Wang, Andrew B. Conley, I. King Jordan, Lavanya Rishishwar, Aroon T. Chande, Augusto Valderrama-Aguirre |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Internet Multifactorial Inheritance education.field_of_study Genetic diversity Population Genome-wide association study Biology Polymorphism Single Nucleotide Genetic architecture 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Evolutionary biology Gadget Web Server Issue Genetics Trait Humans 1000 Genomes Project education Software 030217 neurology & neurosurgery Genome-Wide Association Study Genetic association |
| Zdroj: | Nucleic Acids Research |
| ISSN: | 1362-4962 0305-1048 |
| Popis: | Human populations from around the world show striking phenotypic variation across a wide variety of traits. Genome-wide association studies (GWAS) are used to uncover genetic variants that influence the expression of heritable human traits; accordingly, population-specific distributions of GWAS-implicated variants may shed light on the genetic basis of human phenotypic diversity. With this in mind, we developed the GlobAl Distribution of GEnetic Traits web server (GADGET http://gadget.biosci.gatech.edu). The GADGET web server provides users with a dynamic visual platform for exploring the relationship between worldwide genetic diversity and the genetic architecture underlying numerous human phenotypes. GADGET integrates trait-implicated single nucleotide polymorphisms (SNPs) from GWAS, with population genetic data from the 1000 Genomes Project, to calculate genome-wide polygenic trait scores (PTS) for 818 phenotypes in 2504 individual genomes. Population-specific distributions of PTS are shown for 26 human populations across 5 continental population groups, with traits ordered based on the extent of variation observed among populations. Users of GADGET can also upload custom trait SNP sets to visualize global PTS distributions for their own traits of interest. |
| Databáze: | OpenAIRE |
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