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PheLiGe: an interactive database of billions of human genotype–phenotype associations
Genome-wide association studies have provided a vast array of publicly available SNP × phenotype association results. However, they are often in disparate repositories and formats, making downstream analyses difficult and time consuming. PheLiGe (https://phelige.com) is a database that provides easy...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779071/ https://www.ncbi.nlm.nih.gov/pubmed/33245779 http://dx.doi.org/10.1093/nar/gkaa1086 |
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author | Shashkova, Tatiana I Pakhomov, Eugene D Gorev, Denis D Karssen, Lennart C Joshi, Peter K Aulchenko, Yurii S |
author_facet | Shashkova, Tatiana I Pakhomov, Eugene D Gorev, Denis D Karssen, Lennart C Joshi, Peter K Aulchenko, Yurii S |
author_sort | Shashkova, Tatiana I |
collection | PubMed |
description | Genome-wide association studies have provided a vast array of publicly available SNP × phenotype association results. However, they are often in disparate repositories and formats, making downstream analyses difficult and time consuming. PheLiGe (https://phelige.com) is a database that provides easy access to such results via a web interface. The underlying database currently stores >75 billion genotype–phenotype associations from 7347 genome-wide and 1.2 million region-wide (e.g. cis-eQTL) association scans. The web interface allows for investigation of regional genotype-phenotype associations across many phenotypes, giving insights into the biological function affected by the variant in question. Furthermore, PheLiGe can compare regional patterns of association between different traits. This analysis can ascertain whether a co-association is due to pleiotropy or linkage. Moreover, comparison of association patterns for a complex trait of interest and gene expression and protein levels can implicate causal genes. |
format | Online Article Text |
id | pubmed-7779071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77790712021-01-07 PheLiGe: an interactive database of billions of human genotype–phenotype associations Shashkova, Tatiana I Pakhomov, Eugene D Gorev, Denis D Karssen, Lennart C Joshi, Peter K Aulchenko, Yurii S Nucleic Acids Res Database Issue Genome-wide association studies have provided a vast array of publicly available SNP × phenotype association results. However, they are often in disparate repositories and formats, making downstream analyses difficult and time consuming. PheLiGe (https://phelige.com) is a database that provides easy access to such results via a web interface. The underlying database currently stores >75 billion genotype–phenotype associations from 7347 genome-wide and 1.2 million region-wide (e.g. cis-eQTL) association scans. The web interface allows for investigation of regional genotype-phenotype associations across many phenotypes, giving insights into the biological function affected by the variant in question. Furthermore, PheLiGe can compare regional patterns of association between different traits. This analysis can ascertain whether a co-association is due to pleiotropy or linkage. Moreover, comparison of association patterns for a complex trait of interest and gene expression and protein levels can implicate causal genes. Oxford University Press 2020-11-27 /pmc/articles/PMC7779071/ /pubmed/33245779 http://dx.doi.org/10.1093/nar/gkaa1086 Text en © The Author(s) 2020. 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 | Database Issue Shashkova, Tatiana I Pakhomov, Eugene D Gorev, Denis D Karssen, Lennart C Joshi, Peter K Aulchenko, Yurii S PheLiGe: an interactive database of billions of human genotype–phenotype associations |
title | PheLiGe: an interactive database of billions of human genotype–phenotype associations |
title_full | PheLiGe: an interactive database of billions of human genotype–phenotype associations |
title_fullStr | PheLiGe: an interactive database of billions of human genotype–phenotype associations |
title_full_unstemmed | PheLiGe: an interactive database of billions of human genotype–phenotype associations |
title_short | PheLiGe: an interactive database of billions of human genotype–phenotype associations |
title_sort | phelige: an interactive database of billions of human genotype–phenotype associations |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779071/ https://www.ncbi.nlm.nih.gov/pubmed/33245779 http://dx.doi.org/10.1093/nar/gkaa1086 |
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