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GA4GH 变异表示规范中可计算基因型模型的开发与应用。

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

机构信息

Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA.

出版信息

Pac Symp Biocomput. 2023;28:383-394.

PMID:36540993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9782714/
Abstract

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.

摘要

随着我们对变异在健康和疾病中的作用的理解不断加深,基因组变异数据的多样性也在不断增加,因此,为了研究和临床应用,开发用于这些数据在系统间精确交换的标准至关重要。全球基因组学与健康联盟(GA4GH)的变异表示规范(VRS)通过用于区分和简洁表示变异概念的技术术语和信息模型满足了这一需求。在这里,我们将讨论 VRS 中的最近的基因型模型,该模型可用于表示遗传基因座的等位基因组成。我们演示了如何使用基因型模型和组成的单倍型模型,以使用 VRS 精确且可互操作地表示药物基因组双等位基因、HGVS 变体和 VCF 记录,并讨论如何利用这一点来实现检测到的变异和基因组知识库之间的可互操作交换和搜索操作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c67/9782714/be672b969165/nihms-1853002-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c67/9782714/a1e5f81ac833/nihms-1853002-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c67/9782714/010d4cf37754/nihms-1853002-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c67/9782714/be672b969165/nihms-1853002-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c67/9782714/a1e5f81ac833/nihms-1853002-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c67/9782714/010d4cf37754/nihms-1853002-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c67/9782714/be672b969165/nihms-1853002-f0003.jpg

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本文引用的文献

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The GA4GH Variation Representation Specification: A computational framework for variation representation and federated identification.GA4GH变异表示规范:变异表示与联合识别的计算框架。
Cell Genom. 2021 Nov 10;1(2). doi: 10.1016/j.xgen.2021.100027.
2
GA4GH: International policies and standards for data sharing across genomic research and healthcare.全球基因组与健康联盟(GA4GH):跨基因组研究与医疗保健领域数据共享的国际政策与标准。
Cell Genom. 2021 Nov 10;1(2). doi: 10.1016/j.xgen.2021.100029.
3
Genomic considerations for FHIR®; eMERGE implementation lessons.
GA4GH 表型数据包语料库:用于基因组诊断和发现的病例级表型分析。
medRxiv. 2024 May 29:2024.05.29.24308104. doi: 10.1101/2024.05.29.24308104.
4
Enabling the clinical application of artificial intelligence in genomics: a perspective of the AMIA Genomics and Translational Bioinformatics Workgroup.推动人工智能在基因组学中的临床应用:AMIA 基因组学和转化生物信息学工作组的观点。
J Am Med Inform Assoc. 2024 Jan 18;31(2):536-541. doi: 10.1093/jamia/ocad211.
FHIR®的基因组考量;eMERGE 实施经验教训。
J Biomed Inform. 2021 Jun;118:103795. doi: 10.1016/j.jbi.2021.103795. Epub 2021 Apr 28.
4
A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer.癌症体细胞基因组变异的临床解读的协调元知识库。
Nat Genet. 2020 Apr;52(4):448-457. doi: 10.1038/s41588-020-0603-8. Epub 2020 Apr 3.
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PharmVar and the Landscape of Pharmacogenetic Resources.药物变异与药物遗传学资源概况
Clin Pharmacol Ther. 2020 Jan;107(1):43-46. doi: 10.1002/cpt.1654. Epub 2019 Nov 23.
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