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PedMiner: a tool for linkage analysis-based identification of disease-associated variants using family based whole-exome sequencing data

With the advances of next-generation sequencing technology, the field of disease research has been revolutionized. However, pinpointing the disease-causing variants from millions of revealed variants is still a tough task. Here, we have reviewed the existing linkage analysis tools and presented PedM...

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Detalles Bibliográficos
Autores principales: Zhou, Jianteng, Gao, Jianing, Zhang, Huan, Zhao, Daren, Li, Ao, Iqbal, Furhan, Shi, Qinghua, Zhang, Yuanwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138824/
https://www.ncbi.nlm.nih.gov/pubmed/32393981
http://dx.doi.org/10.1093/bib/bbaa077
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author Zhou, Jianteng
Gao, Jianing
Zhang, Huan
Zhao, Daren
Li, Ao
Iqbal, Furhan
Shi, Qinghua
Zhang, Yuanwei
author_facet Zhou, Jianteng
Gao, Jianing
Zhang, Huan
Zhao, Daren
Li, Ao
Iqbal, Furhan
Shi, Qinghua
Zhang, Yuanwei
author_sort Zhou, Jianteng
collection PubMed
description With the advances of next-generation sequencing technology, the field of disease research has been revolutionized. However, pinpointing the disease-causing variants from millions of revealed variants is still a tough task. Here, we have reviewed the existing linkage analysis tools and presented PedMiner, a web-based application designed to narrow down candidate variants from family based whole-exome sequencing (WES) data through linkage analysis. PedMiner integrates linkage analysis, variant annotation and prioritization in one automated pipeline. It provides graphical visualization of the linked regions along with comprehensive annotation of variants and genes within these linked regions. This efficient and comprehensive application will be helpful for the scientific community working on Mendelian inherited disorders using family based WES data.
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spelling pubmed-81388242021-05-25 PedMiner: a tool for linkage analysis-based identification of disease-associated variants using family based whole-exome sequencing data Zhou, Jianteng Gao, Jianing Zhang, Huan Zhao, Daren Li, Ao Iqbal, Furhan Shi, Qinghua Zhang, Yuanwei Brief Bioinform Problem Solving Protocol With the advances of next-generation sequencing technology, the field of disease research has been revolutionized. However, pinpointing the disease-causing variants from millions of revealed variants is still a tough task. Here, we have reviewed the existing linkage analysis tools and presented PedMiner, a web-based application designed to narrow down candidate variants from family based whole-exome sequencing (WES) data through linkage analysis. PedMiner integrates linkage analysis, variant annotation and prioritization in one automated pipeline. It provides graphical visualization of the linked regions along with comprehensive annotation of variants and genes within these linked regions. This efficient and comprehensive application will be helpful for the scientific community working on Mendelian inherited disorders using family based WES data. Oxford University Press 2020-05-11 /pmc/articles/PMC8138824/ /pubmed/32393981 http://dx.doi.org/10.1093/bib/bbaa077 Text en © The Author(s) 2020. Published by Oxford University Press. https://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/ (https://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 Problem Solving Protocol
Zhou, Jianteng
Gao, Jianing
Zhang, Huan
Zhao, Daren
Li, Ao
Iqbal, Furhan
Shi, Qinghua
Zhang, Yuanwei
PedMiner: a tool for linkage analysis-based identification of disease-associated variants using family based whole-exome sequencing data
title PedMiner: a tool for linkage analysis-based identification of disease-associated variants using family based whole-exome sequencing data
title_full PedMiner: a tool for linkage analysis-based identification of disease-associated variants using family based whole-exome sequencing data
title_fullStr PedMiner: a tool for linkage analysis-based identification of disease-associated variants using family based whole-exome sequencing data
title_full_unstemmed PedMiner: a tool for linkage analysis-based identification of disease-associated variants using family based whole-exome sequencing data
title_short PedMiner: a tool for linkage analysis-based identification of disease-associated variants using family based whole-exome sequencing data
title_sort pedminer: a tool for linkage analysis-based identification of disease-associated variants using family based whole-exome sequencing data
topic Problem Solving Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138824/
https://www.ncbi.nlm.nih.gov/pubmed/32393981
http://dx.doi.org/10.1093/bib/bbaa077
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