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VikNGS: a C++ variant integration kit for next generation sequencing association analysis
SUMMARY: Integration of next generation sequencing data (NGS) across different research studies can improve the power of genetic association testing by increasing sample size and can obviate the need for sequencing controls. If differential genotype uncertainty across studies is not accounted for, c...
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/PMC7703770/ https://www.ncbi.nlm.nih.gov/pubmed/31580400 http://dx.doi.org/10.1093/bioinformatics/btz716 |
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author | Baskurt, Zeynep Mastromatteo, Scott Gong, Jiafen Wintle, Richard F Scherer, Stephen W Strug, Lisa J |
author_facet | Baskurt, Zeynep Mastromatteo, Scott Gong, Jiafen Wintle, Richard F Scherer, Stephen W Strug, Lisa J |
author_sort | Baskurt, Zeynep |
collection | PubMed |
description | SUMMARY: Integration of next generation sequencing data (NGS) across different research studies can improve the power of genetic association testing by increasing sample size and can obviate the need for sequencing controls. If differential genotype uncertainty across studies is not accounted for, combining datasets can produce spurious association results. We developed the Variant Integration Kit for NGS (VikNGS), a fast cross-platform software package, to enable aggregation of several datasets for rare and common variant genetic association analysis of quantitative and binary traits with covariate adjustment. VikNGS also includes a graphical user interface, power simulation functionality and data visualization tools. AVAILABILITY AND IMPLEMENTATION: The VikNGS package can be downloaded at http://www.tcag.ca/tools/index.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-7703770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77037702020-12-07 VikNGS: a C++ variant integration kit for next generation sequencing association analysis Baskurt, Zeynep Mastromatteo, Scott Gong, Jiafen Wintle, Richard F Scherer, Stephen W Strug, Lisa J Bioinformatics Applications Notes SUMMARY: Integration of next generation sequencing data (NGS) across different research studies can improve the power of genetic association testing by increasing sample size and can obviate the need for sequencing controls. If differential genotype uncertainty across studies is not accounted for, combining datasets can produce spurious association results. We developed the Variant Integration Kit for NGS (VikNGS), a fast cross-platform software package, to enable aggregation of several datasets for rare and common variant genetic association analysis of quantitative and binary traits with covariate adjustment. VikNGS also includes a graphical user interface, power simulation functionality and data visualization tools. AVAILABILITY AND IMPLEMENTATION: The VikNGS package can be downloaded at http://www.tcag.ca/tools/index.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-02-15 2019-10-03 /pmc/articles/PMC7703770/ /pubmed/31580400 http://dx.doi.org/10.1093/bioinformatics/btz716 Text en © The Author(s) 2019. 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 Baskurt, Zeynep Mastromatteo, Scott Gong, Jiafen Wintle, Richard F Scherer, Stephen W Strug, Lisa J VikNGS: a C++ variant integration kit for next generation sequencing association analysis |
title | VikNGS: a C++ variant integration kit for next generation sequencing association analysis |
title_full | VikNGS: a C++ variant integration kit for next generation sequencing association analysis |
title_fullStr | VikNGS: a C++ variant integration kit for next generation sequencing association analysis |
title_full_unstemmed | VikNGS: a C++ variant integration kit for next generation sequencing association analysis |
title_short | VikNGS: a C++ variant integration kit for next generation sequencing association analysis |
title_sort | vikngs: a c++ variant integration kit for next generation sequencing association analysis |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703770/ https://www.ncbi.nlm.nih.gov/pubmed/31580400 http://dx.doi.org/10.1093/bioinformatics/btz716 |
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