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snpEnrichR: analyzing co-localization of SNPs and their proxies in genomic regions
MOTIVATION: Co-localization of trait associated SNPs for specific transcription-factor binding sites or regulatory regions in the genome can yield profound insight into underlying causal mechanisms. Analysis is complicated because the truly causal SNPs are generally unknown and can be either SNPs re...
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/PMC6247941/ https://www.ncbi.nlm.nih.gov/pubmed/29878048 http://dx.doi.org/10.1093/bioinformatics/bty460 |
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author | Nousiainen, Kari Kanduri, Kartiek Ricaño-Ponce, Isis Wijmenga, Cisca Lahesmaa, Riitta Kumar, Vinod Lähdesmäki, Harri |
author_facet | Nousiainen, Kari Kanduri, Kartiek Ricaño-Ponce, Isis Wijmenga, Cisca Lahesmaa, Riitta Kumar, Vinod Lähdesmäki, Harri |
author_sort | Nousiainen, Kari |
collection | PubMed |
description | MOTIVATION: Co-localization of trait associated SNPs for specific transcription-factor binding sites or regulatory regions in the genome can yield profound insight into underlying causal mechanisms. Analysis is complicated because the truly causal SNPs are generally unknown and can be either SNPs reported in GWAS studies or other proxy SNPs in their linkage disequilibrium. Hence, a comprehensive pipeline for SNP co-localization analysis that utilizes all relevant information about both the genotyped SNPs and their proxies is needed. RESULTS: We developed an R package snpEnrichR for SNP co-localization analysis. The software integrates different tools for random SNP generation and genome co-localization analysis to automatize and help users to create custom SNP co-localization analysis. We show via an example that including proxy SNPs in SNP co-localization analysis enhances the sensitivity of co-localization detection. AVAILABILITY AND IMPLEMENTATION: The software is available at https://github.com/kartiek/snpEnrichR. |
format | Online Article Text |
id | pubmed-6247941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62479412018-11-28 snpEnrichR: analyzing co-localization of SNPs and their proxies in genomic regions Nousiainen, Kari Kanduri, Kartiek Ricaño-Ponce, Isis Wijmenga, Cisca Lahesmaa, Riitta Kumar, Vinod Lähdesmäki, Harri Bioinformatics Applications Notes MOTIVATION: Co-localization of trait associated SNPs for specific transcription-factor binding sites or regulatory regions in the genome can yield profound insight into underlying causal mechanisms. Analysis is complicated because the truly causal SNPs are generally unknown and can be either SNPs reported in GWAS studies or other proxy SNPs in their linkage disequilibrium. Hence, a comprehensive pipeline for SNP co-localization analysis that utilizes all relevant information about both the genotyped SNPs and their proxies is needed. RESULTS: We developed an R package snpEnrichR for SNP co-localization analysis. The software integrates different tools for random SNP generation and genome co-localization analysis to automatize and help users to create custom SNP co-localization analysis. We show via an example that including proxy SNPs in SNP co-localization analysis enhances the sensitivity of co-localization detection. AVAILABILITY AND IMPLEMENTATION: The software is available at https://github.com/kartiek/snpEnrichR. Oxford University Press 2018-12-01 2018-06-07 /pmc/articles/PMC6247941/ /pubmed/29878048 http://dx.doi.org/10.1093/bioinformatics/bty460 Text en © The Author(s) 2018. Published by Oxford University Press. 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 | Applications Notes Nousiainen, Kari Kanduri, Kartiek Ricaño-Ponce, Isis Wijmenga, Cisca Lahesmaa, Riitta Kumar, Vinod Lähdesmäki, Harri snpEnrichR: analyzing co-localization of SNPs and their proxies in genomic regions |
title | snpEnrichR: analyzing co-localization of SNPs and their proxies in genomic regions |
title_full | snpEnrichR: analyzing co-localization of SNPs and their proxies in genomic regions |
title_fullStr | snpEnrichR: analyzing co-localization of SNPs and their proxies in genomic regions |
title_full_unstemmed | snpEnrichR: analyzing co-localization of SNPs and their proxies in genomic regions |
title_short | snpEnrichR: analyzing co-localization of SNPs and their proxies in genomic regions |
title_sort | snpenrichr: analyzing co-localization of snps and their proxies in genomic regions |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247941/ https://www.ncbi.nlm.nih.gov/pubmed/29878048 http://dx.doi.org/10.1093/bioinformatics/bty460 |
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