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Development and application of a computable genotype model in the GA4GH Variation Representation Specification

As the diversity of genomic variation data increases with our growing understanding of the role of variation in health and disease, it is critical to develop standards for precise inter-system exchange of these data for research and clinical applications. The Global Alliance for Genomics and Health...

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Autores principales: Goar, Wesley, Babb, Lawrence, Chamala, Srikar, Cline, Melissa, Freimuth, Robert R., Hart, Reece K., Kuzma, Kori, Lee, Jennifer, Nelson, Tristan, Prlić, Andreas, Riehle, Kevin, Smith, Anastasia, Stahl, Kathryn, Yates, Andrew D., Rehm, Heidi L., Wagner, Alex H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782714/
https://www.ncbi.nlm.nih.gov/pubmed/36540993
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author Goar, Wesley
Babb, Lawrence
Chamala, Srikar
Cline, Melissa
Freimuth, Robert R.
Hart, Reece K.
Kuzma, Kori
Lee, Jennifer
Nelson, Tristan
Prlić, Andreas
Riehle, Kevin
Smith, Anastasia
Stahl, Kathryn
Yates, Andrew D.
Rehm, Heidi L.
Wagner, Alex H.
author_facet Goar, Wesley
Babb, Lawrence
Chamala, Srikar
Cline, Melissa
Freimuth, Robert R.
Hart, Reece K.
Kuzma, Kori
Lee, Jennifer
Nelson, Tristan
Prlić, Andreas
Riehle, Kevin
Smith, Anastasia
Stahl, Kathryn
Yates, Andrew D.
Rehm, Heidi L.
Wagner, Alex H.
author_sort Goar, Wesley
collection PubMed
description As the diversity of genomic variation data increases with our growing understanding of the role of variation in health and disease, it is critical to develop standards for precise inter-system exchange of these data for research and clinical applications. The Global Alliance for Genomics and Health (GA4GH) Variation Representation Specification (VRS) meets this need through a technical terminology and information model for disambiguating and concisely representing variation concepts. Here we discuss the recent Genotype model in VRS, which may be used to represent the allelic composition of a genetic locus. We demonstrate the use of the Genotype model and the constituent Haplotype model for the precise and interoperable representation of pharmacogenomic diplotypes, HGVS variants, and VCF records using VRS and discuss how this can be leveraged to enable interoperable exchange and search operations between assayed variation and genomic knowledgebases.
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spelling pubmed-97827142023-01-01 Development and application of a computable genotype model in the GA4GH Variation Representation Specification Goar, Wesley Babb, Lawrence Chamala, Srikar Cline, Melissa Freimuth, Robert R. Hart, Reece K. Kuzma, Kori Lee, Jennifer Nelson, Tristan Prlić, Andreas Riehle, Kevin Smith, Anastasia Stahl, Kathryn Yates, Andrew D. Rehm, Heidi L. Wagner, Alex H. Pac Symp Biocomput Article As the diversity of genomic variation data increases with our growing understanding of the role of variation in health and disease, it is critical to develop standards for precise inter-system exchange of these data for research and clinical applications. The Global Alliance for Genomics and Health (GA4GH) Variation Representation Specification (VRS) meets this need through a technical terminology and information model for disambiguating and concisely representing variation concepts. Here we discuss the recent Genotype model in VRS, which may be used to represent the allelic composition of a genetic locus. We demonstrate the use of the Genotype model and the constituent Haplotype model for the precise and interoperable representation of pharmacogenomic diplotypes, HGVS variants, and VCF records using VRS and discuss how this can be leveraged to enable interoperable exchange and search operations between assayed variation and genomic knowledgebases. 2023 /pmc/articles/PMC9782714/ /pubmed/36540993 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access chapter published by World Scientific Publishing Company and distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC) 4.0 License.
spellingShingle Article
Goar, Wesley
Babb, Lawrence
Chamala, Srikar
Cline, Melissa
Freimuth, Robert R.
Hart, Reece K.
Kuzma, Kori
Lee, Jennifer
Nelson, Tristan
Prlić, Andreas
Riehle, Kevin
Smith, Anastasia
Stahl, Kathryn
Yates, Andrew D.
Rehm, Heidi L.
Wagner, Alex H.
Development and application of a computable genotype model in the GA4GH Variation Representation Specification
title Development and application of a computable genotype model in the GA4GH Variation Representation Specification
title_full Development and application of a computable genotype model in the GA4GH Variation Representation Specification
title_fullStr Development and application of a computable genotype model in the GA4GH Variation Representation Specification
title_full_unstemmed Development and application of a computable genotype model in the GA4GH Variation Representation Specification
title_short Development and application of a computable genotype model in the GA4GH Variation Representation Specification
title_sort development and application of a computable genotype model in the ga4gh variation representation specification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782714/
https://www.ncbi.nlm.nih.gov/pubmed/36540993
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