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A comprehensive framework for prioritizing variants in exome sequencing studies of Mendelian diseases

Exome sequencing strategy is promising for finding novel mutations of human monogenic disorders. However, pinpointing the casual mutation in a small number of samples is still a big challenge. Here, we propose a three-level filtration and prioritization framework to identify the casual mutation(s) i...

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Autores principales: Li, Miao-Xin, Gui, Hong-Sheng, Kwan, Johnny S. H., Bao, Su-Ying, Sham, Pak C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3326332/
https://www.ncbi.nlm.nih.gov/pubmed/22241780
http://dx.doi.org/10.1093/nar/gkr1257
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author Li, Miao-Xin
Gui, Hong-Sheng
Kwan, Johnny S. H.
Bao, Su-Ying
Sham, Pak C.
author_facet Li, Miao-Xin
Gui, Hong-Sheng
Kwan, Johnny S. H.
Bao, Su-Ying
Sham, Pak C.
author_sort Li, Miao-Xin
collection PubMed
description Exome sequencing strategy is promising for finding novel mutations of human monogenic disorders. However, pinpointing the casual mutation in a small number of samples is still a big challenge. Here, we propose a three-level filtration and prioritization framework to identify the casual mutation(s) in exome sequencing studies. This efficient and comprehensive framework successfully narrowed down whole exome variants to very small numbers of candidate variants in the proof-of-concept examples. The proposed framework, implemented in a user-friendly software package, named KGGSeq (http://statgenpro.psychiatry.hku.hk/kggseq), will play a very useful role in exome sequencing-based discovery of human Mendelian disease genes.
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spelling pubmed-33263322012-04-16 A comprehensive framework for prioritizing variants in exome sequencing studies of Mendelian diseases Li, Miao-Xin Gui, Hong-Sheng Kwan, Johnny S. H. Bao, Su-Ying Sham, Pak C. Nucleic Acids Res Methods Online Exome sequencing strategy is promising for finding novel mutations of human monogenic disorders. However, pinpointing the casual mutation in a small number of samples is still a big challenge. Here, we propose a three-level filtration and prioritization framework to identify the casual mutation(s) in exome sequencing studies. This efficient and comprehensive framework successfully narrowed down whole exome variants to very small numbers of candidate variants in the proof-of-concept examples. The proposed framework, implemented in a user-friendly software package, named KGGSeq (http://statgenpro.psychiatry.hku.hk/kggseq), will play a very useful role in exome sequencing-based discovery of human Mendelian disease genes. Oxford University Press 2012-04 2012-01-11 /pmc/articles/PMC3326332/ /pubmed/22241780 http://dx.doi.org/10.1093/nar/gkr1257 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Online
Li, Miao-Xin
Gui, Hong-Sheng
Kwan, Johnny S. H.
Bao, Su-Ying
Sham, Pak C.
A comprehensive framework for prioritizing variants in exome sequencing studies of Mendelian diseases
title A comprehensive framework for prioritizing variants in exome sequencing studies of Mendelian diseases
title_full A comprehensive framework for prioritizing variants in exome sequencing studies of Mendelian diseases
title_fullStr A comprehensive framework for prioritizing variants in exome sequencing studies of Mendelian diseases
title_full_unstemmed A comprehensive framework for prioritizing variants in exome sequencing studies of Mendelian diseases
title_short A comprehensive framework for prioritizing variants in exome sequencing studies of Mendelian diseases
title_sort comprehensive framework for prioritizing variants in exome sequencing studies of mendelian diseases
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3326332/
https://www.ncbi.nlm.nih.gov/pubmed/22241780
http://dx.doi.org/10.1093/nar/gkr1257
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