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snpXplorer: a web application to explore human SNP-associations and annotate SNP-sets

Genetic association studies are frequently used to study the genetic basis of numerous human phenotypes. However, the rapid interrogation of how well a certain genomic region associates across traits as well as the interpretation of genetic associations is often complex and requires the integration...

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Autores principales: Tesi, Niccolo, van der Lee, Sven, Hulsman, Marc, Holstege, Henne, Reinders, Marcel J T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262737/
https://www.ncbi.nlm.nih.gov/pubmed/34048563
http://dx.doi.org/10.1093/nar/gkab410
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author Tesi, Niccolo
van der Lee, Sven
Hulsman, Marc
Holstege, Henne
Reinders, Marcel J T
author_facet Tesi, Niccolo
van der Lee, Sven
Hulsman, Marc
Holstege, Henne
Reinders, Marcel J T
author_sort Tesi, Niccolo
collection PubMed
description Genetic association studies are frequently used to study the genetic basis of numerous human phenotypes. However, the rapid interrogation of how well a certain genomic region associates across traits as well as the interpretation of genetic associations is often complex and requires the integration of multiple sources of annotation, which involves advanced bioinformatic skills. We developed snpXplorer, an easy-to-use web-server application for exploring Single Nucleotide Polymorphisms (SNP) association statistics and to functionally annotate sets of SNPs. snpXplorer can superimpose association statistics from multiple studies, and displays regional information including SNP associations, structural variations, recombination rates, eQTL, linkage disequilibrium patterns, genes and gene-expressions per tissue. By overlaying multiple GWAS studies, snpXplorer can be used to compare levels of association across different traits, which may help the interpretation of variant consequences. Given a list of SNPs, snpXplorer can also be used to perform variant-to-gene mapping and gene-set enrichment analysis to identify molecular pathways that are overrepresented in the list of input SNPs. snpXplorer is freely available at https://snpxplorer.net. Source code, documentation, example files and tutorial videos are available within the Help section of snpXplorer and at https://github.com/TesiNicco/snpXplorer.
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spelling pubmed-82627372021-07-08 snpXplorer: a web application to explore human SNP-associations and annotate SNP-sets Tesi, Niccolo van der Lee, Sven Hulsman, Marc Holstege, Henne Reinders, Marcel J T Nucleic Acids Res Web Server Issue Genetic association studies are frequently used to study the genetic basis of numerous human phenotypes. However, the rapid interrogation of how well a certain genomic region associates across traits as well as the interpretation of genetic associations is often complex and requires the integration of multiple sources of annotation, which involves advanced bioinformatic skills. We developed snpXplorer, an easy-to-use web-server application for exploring Single Nucleotide Polymorphisms (SNP) association statistics and to functionally annotate sets of SNPs. snpXplorer can superimpose association statistics from multiple studies, and displays regional information including SNP associations, structural variations, recombination rates, eQTL, linkage disequilibrium patterns, genes and gene-expressions per tissue. By overlaying multiple GWAS studies, snpXplorer can be used to compare levels of association across different traits, which may help the interpretation of variant consequences. Given a list of SNPs, snpXplorer can also be used to perform variant-to-gene mapping and gene-set enrichment analysis to identify molecular pathways that are overrepresented in the list of input SNPs. snpXplorer is freely available at https://snpxplorer.net. Source code, documentation, example files and tutorial videos are available within the Help section of snpXplorer and at https://github.com/TesiNicco/snpXplorer. Oxford University Press 2021-05-28 /pmc/articles/PMC8262737/ /pubmed/34048563 http://dx.doi.org/10.1093/nar/gkab410 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://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/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Web Server Issue
Tesi, Niccolo
van der Lee, Sven
Hulsman, Marc
Holstege, Henne
Reinders, Marcel J T
snpXplorer: a web application to explore human SNP-associations and annotate SNP-sets
title snpXplorer: a web application to explore human SNP-associations and annotate SNP-sets
title_full snpXplorer: a web application to explore human SNP-associations and annotate SNP-sets
title_fullStr snpXplorer: a web application to explore human SNP-associations and annotate SNP-sets
title_full_unstemmed snpXplorer: a web application to explore human SNP-associations and annotate SNP-sets
title_short snpXplorer: a web application to explore human SNP-associations and annotate SNP-sets
title_sort snpxplorer: a web application to explore human snp-associations and annotate snp-sets
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262737/
https://www.ncbi.nlm.nih.gov/pubmed/34048563
http://dx.doi.org/10.1093/nar/gkab410
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