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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...

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Detalles Bibliográficos
Autores principales: Cheng, Wei-Yi, Hakenberg, Jörg, Li, Shuyu Dan, Chen, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
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.
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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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