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SPOT: a web-based tool for using biological databases to prioritize SNPs after a genome-wide association study
SPOT (http://spot.cgsmd.isi.edu), the SNP prioritization online tool, is a web site for integrating biological databases into the prioritization of single nucleotide polymorphisms (SNPs) for further study after a genome-wide association study (GWAS). Typically, the next step after a GWAS is to genot...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896195/ https://www.ncbi.nlm.nih.gov/pubmed/20529875 http://dx.doi.org/10.1093/nar/gkq513 |
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author | Saccone, Scott F. Bolze, Raphael Thomas, Prasanth Quan, Jiaxi Mehta, Gaurang Deelman, Ewa Tischfield, Jay A. Rice, John P. |
author_facet | Saccone, Scott F. Bolze, Raphael Thomas, Prasanth Quan, Jiaxi Mehta, Gaurang Deelman, Ewa Tischfield, Jay A. Rice, John P. |
author_sort | Saccone, Scott F. |
collection | PubMed |
description | SPOT (http://spot.cgsmd.isi.edu), the SNP prioritization online tool, is a web site for integrating biological databases into the prioritization of single nucleotide polymorphisms (SNPs) for further study after a genome-wide association study (GWAS). Typically, the next step after a GWAS is to genotype the top signals in an independent replication sample. Investigators will often incorporate information from biological databases so that biologically relevant SNPs, such as those in genes related to the phenotype or with potentially non-neutral effects on gene expression such as a splice sites, are given higher priority. We recently introduced the genomic information network (GIN) method for systematically implementing this kind of strategy. The SPOT web site allows users to upload a list of SNPs and GWAS P-values and returns a prioritized list of SNPs using the GIN method. Users can specify candidate genes or genomic regions with custom levels of prioritization. The results can be downloaded or viewed in the browser where users can interactively explore the details of each SNP, including graphical representations of the GIN method. For investigators interested in incorporating biological databases into a post-GWAS SNP selection strategy, the SPOT web tool is an easily implemented and flexible solution. |
format | Text |
id | pubmed-2896195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28961952010-07-02 SPOT: a web-based tool for using biological databases to prioritize SNPs after a genome-wide association study Saccone, Scott F. Bolze, Raphael Thomas, Prasanth Quan, Jiaxi Mehta, Gaurang Deelman, Ewa Tischfield, Jay A. Rice, John P. Nucleic Acids Res Articles SPOT (http://spot.cgsmd.isi.edu), the SNP prioritization online tool, is a web site for integrating biological databases into the prioritization of single nucleotide polymorphisms (SNPs) for further study after a genome-wide association study (GWAS). Typically, the next step after a GWAS is to genotype the top signals in an independent replication sample. Investigators will often incorporate information from biological databases so that biologically relevant SNPs, such as those in genes related to the phenotype or with potentially non-neutral effects on gene expression such as a splice sites, are given higher priority. We recently introduced the genomic information network (GIN) method for systematically implementing this kind of strategy. The SPOT web site allows users to upload a list of SNPs and GWAS P-values and returns a prioritized list of SNPs using the GIN method. Users can specify candidate genes or genomic regions with custom levels of prioritization. The results can be downloaded or viewed in the browser where users can interactively explore the details of each SNP, including graphical representations of the GIN method. For investigators interested in incorporating biological databases into a post-GWAS SNP selection strategy, the SPOT web tool is an easily implemented and flexible solution. Oxford University Press 2010-07-01 2010-06-06 /pmc/articles/PMC2896195/ /pubmed/20529875 http://dx.doi.org/10.1093/nar/gkq513 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Saccone, Scott F. Bolze, Raphael Thomas, Prasanth Quan, Jiaxi Mehta, Gaurang Deelman, Ewa Tischfield, Jay A. Rice, John P. SPOT: a web-based tool for using biological databases to prioritize SNPs after a genome-wide association study |
title | SPOT: a web-based tool for using biological databases to prioritize SNPs after a genome-wide association study |
title_full | SPOT: a web-based tool for using biological databases to prioritize SNPs after a genome-wide association study |
title_fullStr | SPOT: a web-based tool for using biological databases to prioritize SNPs after a genome-wide association study |
title_full_unstemmed | SPOT: a web-based tool for using biological databases to prioritize SNPs after a genome-wide association study |
title_short | SPOT: a web-based tool for using biological databases to prioritize SNPs after a genome-wide association study |
title_sort | spot: a web-based tool for using biological databases to prioritize snps after a genome-wide association study |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896195/ https://www.ncbi.nlm.nih.gov/pubmed/20529875 http://dx.doi.org/10.1093/nar/gkq513 |
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