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Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples

PURPOSE: Following automated variant calling, manual review of aligned read sequences is required to identify a high-quality list of somatic variants. Despite widespread use in analyzing sequence data, methods to standardize manual review have not been described, resulting in high inter- and intrala...

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Autores principales: Barnell, Erica K., Ronning, Peter, Campbell, Katie M., Krysiak, Kilannin, Ainscough, Benjamin J., Sheta, Lana M., Pema, Shahil P., Schmidt, Alina D., Richters, Megan, Cotto, Kelsy C., Danos, Arpad M., Ramirez, Cody, Skidmore, Zachary L., Spies, Nicholas C., Hundal, Jasreet, Sediqzad, Malik S., Kunisaki, Jason, Gomez, Felicia, Trani, Lee, Matlock, Matthew, Wagner, Alex H., Swamidass, S. Joshua, Griffith, Malachi, Griffith, Obi L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6450397/
https://www.ncbi.nlm.nih.gov/pubmed/30287923
http://dx.doi.org/10.1038/s41436-018-0278-z
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author Barnell, Erica K.
Ronning, Peter
Campbell, Katie M.
Krysiak, Kilannin
Ainscough, Benjamin J.
Sheta, Lana M.
Pema, Shahil P.
Schmidt, Alina D.
Richters, Megan
Cotto, Kelsy C.
Danos, Arpad M.
Ramirez, Cody
Skidmore, Zachary L.
Spies, Nicholas C.
Hundal, Jasreet
Sediqzad, Malik S.
Kunisaki, Jason
Gomez, Felicia
Trani, Lee
Matlock, Matthew
Wagner, Alex H.
Swamidass, S. Joshua
Griffith, Malachi
Griffith, Obi L.
author_facet Barnell, Erica K.
Ronning, Peter
Campbell, Katie M.
Krysiak, Kilannin
Ainscough, Benjamin J.
Sheta, Lana M.
Pema, Shahil P.
Schmidt, Alina D.
Richters, Megan
Cotto, Kelsy C.
Danos, Arpad M.
Ramirez, Cody
Skidmore, Zachary L.
Spies, Nicholas C.
Hundal, Jasreet
Sediqzad, Malik S.
Kunisaki, Jason
Gomez, Felicia
Trani, Lee
Matlock, Matthew
Wagner, Alex H.
Swamidass, S. Joshua
Griffith, Malachi
Griffith, Obi L.
author_sort Barnell, Erica K.
collection PubMed
description PURPOSE: Following automated variant calling, manual review of aligned read sequences is required to identify a high-quality list of somatic variants. Despite widespread use in analyzing sequence data, methods to standardize manual review have not been described, resulting in high inter- and intralab variability. METHODS: This manual review standard operating procedure (SOP) consists of methods to annotate variants with four different calls and 19 tags. The calls indicate a reviewer’s confidence in each variant and the tags indicate commonly observed sequencing patterns and artifacts that inform the manual review call. Four individuals were asked to classify variants prior to, and after, reading the SOP and accuracy was assessed by comparing reviewer calls with orthogonal validation sequencing. RESULTS: After reading the SOP, average accuracy in somatic variant identification increased by 16.7% (p value = 0.0298) and average interreviewer agreement increased by 12.7% (p value < 0.001). Manual review conducted after reading the SOP did not significantly increase reviewer time. CONCLUSION: This SOP supports and enhances manual somatic variant detection by improving reviewer accuracy while reducing the interreviewer variability for variant calling and annotation.
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spelling pubmed-64503972019-04-05 Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples Barnell, Erica K. Ronning, Peter Campbell, Katie M. Krysiak, Kilannin Ainscough, Benjamin J. Sheta, Lana M. Pema, Shahil P. Schmidt, Alina D. Richters, Megan Cotto, Kelsy C. Danos, Arpad M. Ramirez, Cody Skidmore, Zachary L. Spies, Nicholas C. Hundal, Jasreet Sediqzad, Malik S. Kunisaki, Jason Gomez, Felicia Trani, Lee Matlock, Matthew Wagner, Alex H. Swamidass, S. Joshua Griffith, Malachi Griffith, Obi L. Genet Med Article PURPOSE: Following automated variant calling, manual review of aligned read sequences is required to identify a high-quality list of somatic variants. Despite widespread use in analyzing sequence data, methods to standardize manual review have not been described, resulting in high inter- and intralab variability. METHODS: This manual review standard operating procedure (SOP) consists of methods to annotate variants with four different calls and 19 tags. The calls indicate a reviewer’s confidence in each variant and the tags indicate commonly observed sequencing patterns and artifacts that inform the manual review call. Four individuals were asked to classify variants prior to, and after, reading the SOP and accuracy was assessed by comparing reviewer calls with orthogonal validation sequencing. RESULTS: After reading the SOP, average accuracy in somatic variant identification increased by 16.7% (p value = 0.0298) and average interreviewer agreement increased by 12.7% (p value < 0.001). Manual review conducted after reading the SOP did not significantly increase reviewer time. CONCLUSION: This SOP supports and enhances manual somatic variant detection by improving reviewer accuracy while reducing the interreviewer variability for variant calling and annotation. Nature Publishing Group US 2018-10-05 2019 /pmc/articles/PMC6450397/ /pubmed/30287923 http://dx.doi.org/10.1038/s41436-018-0278-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, and provide a link to the Creative Commons license. You do not have permission under this license to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Article
Barnell, Erica K.
Ronning, Peter
Campbell, Katie M.
Krysiak, Kilannin
Ainscough, Benjamin J.
Sheta, Lana M.
Pema, Shahil P.
Schmidt, Alina D.
Richters, Megan
Cotto, Kelsy C.
Danos, Arpad M.
Ramirez, Cody
Skidmore, Zachary L.
Spies, Nicholas C.
Hundal, Jasreet
Sediqzad, Malik S.
Kunisaki, Jason
Gomez, Felicia
Trani, Lee
Matlock, Matthew
Wagner, Alex H.
Swamidass, S. Joshua
Griffith, Malachi
Griffith, Obi L.
Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples
title Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples
title_full Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples
title_fullStr Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples
title_full_unstemmed Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples
title_short Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples
title_sort standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6450397/
https://www.ncbi.nlm.nih.gov/pubmed/30287923
http://dx.doi.org/10.1038/s41436-018-0278-z
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