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Analysis workflow to assess de novo genetic variants from human whole-exome sequencing

Here, we present a protocol to analyze de novo genetic variants derived from the whole-exome sequencing (WES) of proband-parent trios. We provide stepwise instructions for using existing pipelines to call de novo mutations (DNMs) and determine whether the observed number of such mutations is enriche...

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Autores principales: Diab, Nicholas S., King, Spencer, Dong, Weilai, Allington, Garrett, Sheth, Amar, Peters, Samuel T., Kahle, Kristopher T., Jin, Sheng Chih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7960548/
https://www.ncbi.nlm.nih.gov/pubmed/33748785
http://dx.doi.org/10.1016/j.xpro.2021.100383
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author Diab, Nicholas S.
King, Spencer
Dong, Weilai
Allington, Garrett
Sheth, Amar
Peters, Samuel T.
Kahle, Kristopher T.
Jin, Sheng Chih
author_facet Diab, Nicholas S.
King, Spencer
Dong, Weilai
Allington, Garrett
Sheth, Amar
Peters, Samuel T.
Kahle, Kristopher T.
Jin, Sheng Chih
author_sort Diab, Nicholas S.
collection PubMed
description Here, we present a protocol to analyze de novo genetic variants derived from the whole-exome sequencing (WES) of proband-parent trios. We provide stepwise instructions for using existing pipelines to call de novo mutations (DNMs) and determine whether the observed number of such mutations is enriched relative to the expected number. This protocol may be extended to any human disease trio-based cohort. Cohort size is a limiting determinant to the discovery of high-confidence pathogenic DNMs. For complete details on the use and execution of this protocol, please refer to Dong et al. (2020).
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spelling pubmed-79605482021-03-19 Analysis workflow to assess de novo genetic variants from human whole-exome sequencing Diab, Nicholas S. King, Spencer Dong, Weilai Allington, Garrett Sheth, Amar Peters, Samuel T. Kahle, Kristopher T. Jin, Sheng Chih STAR Protoc Protocol Here, we present a protocol to analyze de novo genetic variants derived from the whole-exome sequencing (WES) of proband-parent trios. We provide stepwise instructions for using existing pipelines to call de novo mutations (DNMs) and determine whether the observed number of such mutations is enriched relative to the expected number. This protocol may be extended to any human disease trio-based cohort. Cohort size is a limiting determinant to the discovery of high-confidence pathogenic DNMs. For complete details on the use and execution of this protocol, please refer to Dong et al. (2020). Elsevier 2021-03-10 /pmc/articles/PMC7960548/ /pubmed/33748785 http://dx.doi.org/10.1016/j.xpro.2021.100383 Text en © 2021 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Diab, Nicholas S.
King, Spencer
Dong, Weilai
Allington, Garrett
Sheth, Amar
Peters, Samuel T.
Kahle, Kristopher T.
Jin, Sheng Chih
Analysis workflow to assess de novo genetic variants from human whole-exome sequencing
title Analysis workflow to assess de novo genetic variants from human whole-exome sequencing
title_full Analysis workflow to assess de novo genetic variants from human whole-exome sequencing
title_fullStr Analysis workflow to assess de novo genetic variants from human whole-exome sequencing
title_full_unstemmed Analysis workflow to assess de novo genetic variants from human whole-exome sequencing
title_short Analysis workflow to assess de novo genetic variants from human whole-exome sequencing
title_sort analysis workflow to assess de novo genetic variants from human whole-exome sequencing
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7960548/
https://www.ncbi.nlm.nih.gov/pubmed/33748785
http://dx.doi.org/10.1016/j.xpro.2021.100383
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