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DIVAS: a centralized genetic variant repository representing 150 000 individuals from multiple disease cohorts
Motivation: A plethora of sequenced and genotyped disease cohorts is available to the biomedical research community, spread across many portals and represented in various formats. Results: We have gathered several large studies, including GERA and GRU, and computed population- and disease-specific g...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681987/ https://www.ncbi.nlm.nih.gov/pubmed/26363178 http://dx.doi.org/10.1093/bioinformatics/btv511 |
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author | Cheng, Wei-Yi Hakenberg, Jörg Li, Shuyu Dan Chen, Rong |
author_facet | Cheng, Wei-Yi Hakenberg, Jörg Li, Shuyu Dan Chen, Rong |
author_sort | Cheng, Wei-Yi |
collection | PubMed |
description | Motivation: A plethora of sequenced and genotyped disease cohorts is available to the biomedical research community, spread across many portals and represented in various formats. Results: We have gathered several large studies, including GERA and GRU, and computed population- and disease-specific genetic variant frequencies. In total, our portal provides fast access to genetic variants observed in 84 928 individuals from 39 disease populations. We also include 66 335 controls, such as the 1000 Genomes and Scripps Wellderly. Conclusion: Combining multiple studies helps validate disease-associated variants in each underlying data set, detect potential false positives using frequencies of control populations, and identify novel candidate disease-causing alterations in known or suspected genes. Availability and implementation: https://rvs.u.hpc.mssm.edu/divas Contact: rong.chen@mssm.edu Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4681987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-46819872015-12-18 DIVAS: a centralized genetic variant repository representing 150 000 individuals from multiple disease cohorts Cheng, Wei-Yi Hakenberg, Jörg Li, Shuyu Dan Chen, Rong Bioinformatics Applications Notes Motivation: A plethora of sequenced and genotyped disease cohorts is available to the biomedical research community, spread across many portals and represented in various formats. Results: We have gathered several large studies, including GERA and GRU, and computed population- and disease-specific genetic variant frequencies. In total, our portal provides fast access to genetic variants observed in 84 928 individuals from 39 disease populations. We also include 66 335 controls, such as the 1000 Genomes and Scripps Wellderly. Conclusion: Combining multiple studies helps validate disease-associated variants in each underlying data set, detect potential false positives using frequencies of control populations, and identify novel candidate disease-causing alterations in known or suspected genes. Availability and implementation: https://rvs.u.hpc.mssm.edu/divas Contact: rong.chen@mssm.edu Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-01-01 2015-09-12 /pmc/articles/PMC4681987/ /pubmed/26363178 http://dx.doi.org/10.1093/bioinformatics/btv511 Text en © The Author 2015. 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 Cheng, Wei-Yi Hakenberg, Jörg Li, Shuyu Dan Chen, Rong DIVAS: a centralized genetic variant repository representing 150 000 individuals from multiple disease cohorts |
title | DIVAS: a centralized genetic variant repository representing 150 000 individuals from multiple disease cohorts |
title_full | DIVAS: a centralized genetic variant repository representing 150 000 individuals from multiple disease cohorts |
title_fullStr | DIVAS: a centralized genetic variant repository representing 150 000 individuals from multiple disease cohorts |
title_full_unstemmed | DIVAS: a centralized genetic variant repository representing 150 000 individuals from multiple disease cohorts |
title_short | DIVAS: a centralized genetic variant repository representing 150 000 individuals from multiple disease cohorts |
title_sort | divas: a centralized genetic variant repository representing 150 000 individuals from multiple disease cohorts |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681987/ https://www.ncbi.nlm.nih.gov/pubmed/26363178 http://dx.doi.org/10.1093/bioinformatics/btv511 |
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