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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...

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Autores principales: Chande, Aroon T, Wang, Lu, Rishishwar, Lavanya, Conley, Andrew B, Norris, Emily T, Valderrama-Aguirre, Augusto, Jordan, I King
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
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.
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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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