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A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer

Precision oncology relies on accurate discovery and interpretation of genomic variants, enabling individualized diagnosis, prognosis and therapy selection. We found that six prominent somatic cancer variant knowledgebases were highly disparate in content, structure and supporting primary literature,...

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Autores principales: Wagner, Alex H., Walsh, Brian, Mayfield, Georgia, Tamborero, David, Sonkin, Dmitriy, Krysiak, Kilannin, Deu-Pons, Jordi, Duren, Ryan P., Gao, Jianjiong, McMurry, Julie, Patterson, Sara, del Vecchio Fitz, Catherine, Pitel, Beth A., Sezerman, Ozman U., Ellrott, Kyle, Warner, Jeremy L., Rieke, Damian T., Aittokallio, Tero, Cerami, Ethan, Ritter, Deborah I., Schriml, Lynn M., Freimuth, Robert R., Haendel, Melissa, Raca, Gordana, Madhavan, Subha, Baudis, Michael, Beckmann, Jacques S., Dienstmann, Rodrigo, Chakravarty, Debyani, Li, Xuan Shirley, Mockus, Susan, Elemento, Olivier, Schultz, Nikolaus, Lopez-Bigas, Nuria, Lawler, Mark, Goecks, Jeremy, Griffith, Malachi, Griffith, Obi L., Margolin, Adam A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127986/
https://www.ncbi.nlm.nih.gov/pubmed/32246132
http://dx.doi.org/10.1038/s41588-020-0603-8
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author Wagner, Alex H.
Walsh, Brian
Mayfield, Georgia
Tamborero, David
Sonkin, Dmitriy
Krysiak, Kilannin
Deu-Pons, Jordi
Duren, Ryan P.
Gao, Jianjiong
McMurry, Julie
Patterson, Sara
del Vecchio Fitz, Catherine
Pitel, Beth A.
Sezerman, Ozman U.
Ellrott, Kyle
Warner, Jeremy L.
Rieke, Damian T.
Aittokallio, Tero
Cerami, Ethan
Ritter, Deborah I.
Schriml, Lynn M.
Freimuth, Robert R.
Haendel, Melissa
Raca, Gordana
Madhavan, Subha
Baudis, Michael
Beckmann, Jacques S.
Dienstmann, Rodrigo
Chakravarty, Debyani
Li, Xuan Shirley
Mockus, Susan
Elemento, Olivier
Schultz, Nikolaus
Lopez-Bigas, Nuria
Lawler, Mark
Goecks, Jeremy
Griffith, Malachi
Griffith, Obi L.
Margolin, Adam A.
author_facet Wagner, Alex H.
Walsh, Brian
Mayfield, Georgia
Tamborero, David
Sonkin, Dmitriy
Krysiak, Kilannin
Deu-Pons, Jordi
Duren, Ryan P.
Gao, Jianjiong
McMurry, Julie
Patterson, Sara
del Vecchio Fitz, Catherine
Pitel, Beth A.
Sezerman, Ozman U.
Ellrott, Kyle
Warner, Jeremy L.
Rieke, Damian T.
Aittokallio, Tero
Cerami, Ethan
Ritter, Deborah I.
Schriml, Lynn M.
Freimuth, Robert R.
Haendel, Melissa
Raca, Gordana
Madhavan, Subha
Baudis, Michael
Beckmann, Jacques S.
Dienstmann, Rodrigo
Chakravarty, Debyani
Li, Xuan Shirley
Mockus, Susan
Elemento, Olivier
Schultz, Nikolaus
Lopez-Bigas, Nuria
Lawler, Mark
Goecks, Jeremy
Griffith, Malachi
Griffith, Obi L.
Margolin, Adam A.
author_sort Wagner, Alex H.
collection PubMed
description Precision oncology relies on accurate discovery and interpretation of genomic variants, enabling individualized diagnosis, prognosis and therapy selection. We found that six prominent somatic cancer variant knowledgebases were highly disparate in content, structure and supporting primary literature, impeding consensus when evaluating variants and their relevance in a clinical setting. We developed a framework for harmonizing variant interpretations to produce a meta-knowledgebase of 12,856 aggregate interpretations. We demonstrated large gains in overlap between resources across variants, diseases and drugs as a result of this harmonization. We subsequently demonstrated improved matching between a patient cohort and harmonized interpretations of potential clinical significance, observing an increase from an average of 33% per individual knowledgebase to 57% in aggregate. Our analyses illuminate the need for open, interoperable sharing of variant interpretation data. We also provide a freely available web interface (search.cancervariants.org) for exploring the harmonized interpretations from these six knowledgebases.
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spelling pubmed-71279862020-04-06 A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer Wagner, Alex H. Walsh, Brian Mayfield, Georgia Tamborero, David Sonkin, Dmitriy Krysiak, Kilannin Deu-Pons, Jordi Duren, Ryan P. Gao, Jianjiong McMurry, Julie Patterson, Sara del Vecchio Fitz, Catherine Pitel, Beth A. Sezerman, Ozman U. Ellrott, Kyle Warner, Jeremy L. Rieke, Damian T. Aittokallio, Tero Cerami, Ethan Ritter, Deborah I. Schriml, Lynn M. Freimuth, Robert R. Haendel, Melissa Raca, Gordana Madhavan, Subha Baudis, Michael Beckmann, Jacques S. Dienstmann, Rodrigo Chakravarty, Debyani Li, Xuan Shirley Mockus, Susan Elemento, Olivier Schultz, Nikolaus Lopez-Bigas, Nuria Lawler, Mark Goecks, Jeremy Griffith, Malachi Griffith, Obi L. Margolin, Adam A. Nat Genet Analysis Precision oncology relies on accurate discovery and interpretation of genomic variants, enabling individualized diagnosis, prognosis and therapy selection. We found that six prominent somatic cancer variant knowledgebases were highly disparate in content, structure and supporting primary literature, impeding consensus when evaluating variants and their relevance in a clinical setting. We developed a framework for harmonizing variant interpretations to produce a meta-knowledgebase of 12,856 aggregate interpretations. We demonstrated large gains in overlap between resources across variants, diseases and drugs as a result of this harmonization. We subsequently demonstrated improved matching between a patient cohort and harmonized interpretations of potential clinical significance, observing an increase from an average of 33% per individual knowledgebase to 57% in aggregate. Our analyses illuminate the need for open, interoperable sharing of variant interpretation data. We also provide a freely available web interface (search.cancervariants.org) for exploring the harmonized interpretations from these six knowledgebases. Nature Publishing Group US 2020-04-03 2020 /pmc/articles/PMC7127986/ /pubmed/32246132 http://dx.doi.org/10.1038/s41588-020-0603-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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/4.0/.
spellingShingle Analysis
Wagner, Alex H.
Walsh, Brian
Mayfield, Georgia
Tamborero, David
Sonkin, Dmitriy
Krysiak, Kilannin
Deu-Pons, Jordi
Duren, Ryan P.
Gao, Jianjiong
McMurry, Julie
Patterson, Sara
del Vecchio Fitz, Catherine
Pitel, Beth A.
Sezerman, Ozman U.
Ellrott, Kyle
Warner, Jeremy L.
Rieke, Damian T.
Aittokallio, Tero
Cerami, Ethan
Ritter, Deborah I.
Schriml, Lynn M.
Freimuth, Robert R.
Haendel, Melissa
Raca, Gordana
Madhavan, Subha
Baudis, Michael
Beckmann, Jacques S.
Dienstmann, Rodrigo
Chakravarty, Debyani
Li, Xuan Shirley
Mockus, Susan
Elemento, Olivier
Schultz, Nikolaus
Lopez-Bigas, Nuria
Lawler, Mark
Goecks, Jeremy
Griffith, Malachi
Griffith, Obi L.
Margolin, Adam A.
A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer
title A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer
title_full A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer
title_fullStr A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer
title_full_unstemmed A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer
title_short A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer
title_sort harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer
topic Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127986/
https://www.ncbi.nlm.nih.gov/pubmed/32246132
http://dx.doi.org/10.1038/s41588-020-0603-8
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