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Visualizing the geography of genetic variants
SUMMARY: One of the key characteristics of any genetic variant is its geographic distribution. The geographic distribution can shed light on where an allele first arose, what populations it has spread to, and in turn on how migration, genetic drift, and natural selection have acted. The geographic d...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408806/ https://www.ncbi.nlm.nih.gov/pubmed/27742697 http://dx.doi.org/10.1093/bioinformatics/btw643 |
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author | Marcus, Joseph H Novembre, John |
author_facet | Marcus, Joseph H Novembre, John |
author_sort | Marcus, Joseph H |
collection | PubMed |
description | SUMMARY: One of the key characteristics of any genetic variant is its geographic distribution. The geographic distribution can shed light on where an allele first arose, what populations it has spread to, and in turn on how migration, genetic drift, and natural selection have acted. The geographic distribution of a genetic variant can also be of great utility for medical/clinical geneticists and collectively many genetic variants can reveal population structure. Here we develop an interactive visualization tool for rapidly displaying the geographic distribution of genetic variants. Through a REST API and dynamic front-end, the Geography of Genetic Variants (GGV) browser (http://popgen.uchicago.edu/ggv/) provides maps of allele frequencies in populations distributed across the globe. AVAILABILITY AND IMPLEMENTATION: GGV is implemented as a website (http://popgen.uchicago.edu/ggv/) which employs an API to access frequency data (http://popgen.uchicago.edu/freq_api/). Python and javascript source code for the website and the API are available at: http://github.com/NovembreLab/ggv/ and http://github.com/NovembreLab/ggv-api/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5408806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-54088062017-05-03 Visualizing the geography of genetic variants Marcus, Joseph H Novembre, John Bioinformatics Applications Notes SUMMARY: One of the key characteristics of any genetic variant is its geographic distribution. The geographic distribution can shed light on where an allele first arose, what populations it has spread to, and in turn on how migration, genetic drift, and natural selection have acted. The geographic distribution of a genetic variant can also be of great utility for medical/clinical geneticists and collectively many genetic variants can reveal population structure. Here we develop an interactive visualization tool for rapidly displaying the geographic distribution of genetic variants. Through a REST API and dynamic front-end, the Geography of Genetic Variants (GGV) browser (http://popgen.uchicago.edu/ggv/) provides maps of allele frequencies in populations distributed across the globe. AVAILABILITY AND IMPLEMENTATION: GGV is implemented as a website (http://popgen.uchicago.edu/ggv/) which employs an API to access frequency data (http://popgen.uchicago.edu/freq_api/). Python and javascript source code for the website and the API are available at: http://github.com/NovembreLab/ggv/ and http://github.com/NovembreLab/ggv-api/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-02-15 2016-11-21 /pmc/articles/PMC5408806/ /pubmed/27742697 http://dx.doi.org/10.1093/bioinformatics/btw643 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Marcus, Joseph H Novembre, John Visualizing the geography of genetic variants |
title | Visualizing the geography of genetic variants |
title_full | Visualizing the geography of genetic variants |
title_fullStr | Visualizing the geography of genetic variants |
title_full_unstemmed | Visualizing the geography of genetic variants |
title_short | Visualizing the geography of genetic variants |
title_sort | visualizing the geography of genetic variants |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408806/ https://www.ncbi.nlm.nih.gov/pubmed/27742697 http://dx.doi.org/10.1093/bioinformatics/btw643 |
work_keys_str_mv | AT marcusjosephh visualizingthegeographyofgeneticvariants AT novembrejohn visualizingthegeographyofgeneticvariants |