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GlobAl Distribution of GEnetic Traits (GADGET) web server: polygenic trait scores worldwide
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-impl...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6031022/ https://www.ncbi.nlm.nih.gov/pubmed/29788182 http://dx.doi.org/10.1093/nar/gky415 |
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author | Chande, Aroon T Wang, Lu Rishishwar, Lavanya Conley, Andrew B Norris, Emily T Valderrama-Aguirre, Augusto Jordan, I King |
author_facet | Chande, Aroon T Wang, Lu Rishishwar, Lavanya Conley, Andrew B Norris, Emily T Valderrama-Aguirre, Augusto Jordan, I King |
author_sort | Chande, Aroon T |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6031022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60310222018-07-10 GlobAl Distribution of GEnetic Traits (GADGET) web server: polygenic trait scores worldwide Chande, Aroon T Wang, Lu Rishishwar, Lavanya Conley, Andrew B Norris, Emily T Valderrama-Aguirre, Augusto Jordan, I King Nucleic Acids Res Web Server Issue 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. Oxford University Press 2018-07-02 2018-05-18 /pmc/articles/PMC6031022/ /pubmed/29788182 http://dx.doi.org/10.1093/nar/gky415 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server Issue Chande, Aroon T Wang, Lu Rishishwar, Lavanya Conley, Andrew B Norris, Emily T Valderrama-Aguirre, Augusto Jordan, I King GlobAl Distribution of GEnetic Traits (GADGET) web server: polygenic trait scores worldwide |
title | GlobAl Distribution of GEnetic Traits (GADGET) web server: polygenic trait scores worldwide |
title_full | GlobAl Distribution of GEnetic Traits (GADGET) web server: polygenic trait scores worldwide |
title_fullStr | GlobAl Distribution of GEnetic Traits (GADGET) web server: polygenic trait scores worldwide |
title_full_unstemmed | GlobAl Distribution of GEnetic Traits (GADGET) web server: polygenic trait scores worldwide |
title_short | GlobAl Distribution of GEnetic Traits (GADGET) web server: polygenic trait scores worldwide |
title_sort | global distribution of genetic traits (gadget) web server: polygenic trait scores worldwide |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6031022/ https://www.ncbi.nlm.nih.gov/pubmed/29788182 http://dx.doi.org/10.1093/nar/gky415 |
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