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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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). |
format | Online Article Text |
id | pubmed-7960548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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