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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
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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. |
format | Online Article Text |
id | pubmed-9782714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
record_format | MEDLINE/PubMed |
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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