• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

vcf2fhir:一个将 VCF 文件转换为 HL7 FHIR 格式以实现基因组学-EHR 集成的实用程序。

vcf2fhir: a utility to convert VCF files into HL7 FHIR format for genomics-EHR integration.

机构信息

Elimu Informatics, 1160 Brickyard Cove Rd Ste 200, Richmond, CA, 94801-4173, USA.

Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA.

出版信息

BMC Bioinformatics. 2021 Mar 2;22(1):104. doi: 10.1186/s12859-021-04039-1.

DOI:10.1186/s12859-021-04039-1
PMID:33653260
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7923512/
Abstract

BACKGROUND

VCF formatted files are the lingua franca of next-generation sequencing, whereas HL7 FHIR is emerging as a standard language for electronic health record interoperability. A growing number of FHIR-based clinical genomics applications are emerging. Here, we describe an open source utility for converting variants from VCF format into HL7 FHIR format.

RESULTS

vcf2fhir converts VCF variants into a FHIR Genomics Diagnostic Report. Conversion translates each VCF row into a corresponding FHIR-formatted variant in the generated report. In scope are simple variants (SNVs, MNVs, Indels), along with zygosity and phase relationships, for autosomes, sex chromosomes, and mitochondrial DNA. Input parameters include VCF file and genome build ('GRCh37' or 'GRCh38'); and optionally a conversion region that indicates the region(s) to convert, a studied region that lists genomic regions studied by the lab, and a non-callable region that lists studied regions deemed uncallable by the lab. Conversion can be limited to a subset of VCF by supplying genomic coordinates of the conversion region(s). If studied and non-callable regions are also supplied, the output FHIR report will include 'region-studied' observations that detail which portions of the conversion region were studied, and of those studied regions, which portions were deemed uncallable. We illustrate the vcf2fhir utility via two case studies. The first, 'SMART Cancer Navigator', is a web application that offers clinical decision support by linking patient EHR information to cancerous gene variants. The second, 'Precision Genomics Integration Platform', intersects a patient's FHIR-formatted clinical and genomic data with knowledge bases in order to provide on-demand delivery of contextually relevant genomic findings and recommendations to the EHR.

CONCLUSIONS

Experience to date shows that the vcf2fhir utility can be effectively woven into clinically useful genomic-EHR integration pipelines. Additional testing will be a critical step towards the clinical validation of this utility, enabling it to be integrated in a variety of real world data flow scenarios. For now, we propose the use of this utility primarily to accelerate FHIR Genomics understanding and to facilitate experimentation with further integration of genomics data into the EHR.

摘要

背景

VCF 格式文件是下一代测序的通用语言,而 HL7 FHIR 正逐渐成为电子健康记录互操作性的标准语言。越来越多基于 FHIR 的临床基因组学应用正在出现。在这里,我们描述了一种将变体从 VCF 格式转换为 HL7 FHIR 格式的开源实用程序。

结果

vcf2fhir 将 VCF 变体转换为 FHIR 基因组诊断报告。转换将每个 VCF 行转换为生成报告中相应的 FHIR 格式变体。范围包括常染色体、性染色体和线粒体 DNA 的简单变体(SNV、MNV、插入缺失),以及同型合子和相位关系。输入参数包括 VCF 文件和基因组构建('GRCh37'或'GRCh38');以及可选的转换区域,该区域指示要转换的区域,研究区域列出实验室研究的基因组区域,以及不可调用区域,该区域列出实验室认为不可调用的研究区域。通过提供转换区域的基因组坐标,可以将转换限制为 VCF 的子集。如果还提供了研究和不可调用的区域,则输出 FHIR 报告将包括“区域研究”观察结果,详细说明转换区域的哪些部分进行了研究,以及在研究区域中,哪些部分被认为不可调用。我们通过两个案例研究来说明 vcf2fhir 实用程序。第一个是“SMART Cancer Navigator”,这是一个提供临床决策支持的 Web 应用程序,通过将患者的 EHR 信息与癌症基因变体链接来实现。第二个是“Precision Genomics Integration Platform”,它将患者的 FHIR 格式的临床和基因组数据与知识库交叉,以便根据需要将上下文相关的基因组发现和建议提供给 EHR。

结论

迄今为止的经验表明,vcf2fhir 实用程序可以有效地编织到临床有用的基因组-EHR 集成管道中。进一步的测试将是该实用程序临床验证的关键步骤,使其能够集成到各种实际数据流场景中。目前,我们建议主要使用此实用程序来加速对 FHIR 基因组的理解,并促进进一步将基因组数据集成到 EHR 中的实验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaf0/7923512/3e7aea28d4d9/12859_2021_4039_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaf0/7923512/05510473c04e/12859_2021_4039_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaf0/7923512/4ffda32b77e7/12859_2021_4039_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaf0/7923512/78c8c9f7a5ed/12859_2021_4039_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaf0/7923512/f26425498a2f/12859_2021_4039_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaf0/7923512/8b1af0637925/12859_2021_4039_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaf0/7923512/3e7aea28d4d9/12859_2021_4039_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaf0/7923512/05510473c04e/12859_2021_4039_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaf0/7923512/4ffda32b77e7/12859_2021_4039_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaf0/7923512/78c8c9f7a5ed/12859_2021_4039_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaf0/7923512/f26425498a2f/12859_2021_4039_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaf0/7923512/8b1af0637925/12859_2021_4039_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaf0/7923512/3e7aea28d4d9/12859_2021_4039_Fig6_HTML.jpg

相似文献

1
vcf2fhir: a utility to convert VCF files into HL7 FHIR format for genomics-EHR integration.vcf2fhir:一个将 VCF 文件转换为 HL7 FHIR 格式以实现基因组学-EHR 集成的实用程序。
BMC Bioinformatics. 2021 Mar 2;22(1):104. doi: 10.1186/s12859-021-04039-1.
2
Automated HL7v2 LRI informatics framework for streamlining genomics-EHR data integration.用于简化基因组学与电子健康记录数据整合的自动化HL7v2 LRI信息学框架。
J Pathol Inform. 2023 Aug 15;14:100330. doi: 10.1016/j.jpi.2023.100330. eCollection 2023.
3
Introducing HL7 FHIR Genomics Operations: a developer-friendly approach to genomics-EHR integration.介绍 HL7 FHIR 基因组学操作:一种面向开发者的基因组学-EHR 集成方法。
J Am Med Inform Assoc. 2023 Feb 16;30(3):485-493. doi: 10.1093/jamia/ocac246.
4
A Pharmacogenomics Clinical Decision Support Service Based on FHIR and CDS Hooks.基于FHIR和CDS挂钩的药物基因组学临床决策支持服务
Methods Inf Med. 2018 Dec;57(S 02):e115-e123. doi: 10.1055/s-0038-1676466. Epub 2019 Jan 3.
5
SMART on FHIR Genomics: facilitating standardized clinico-genomic apps.SMART on FHIR 基因组学:促进标准化临床基因组应用。
J Am Med Inform Assoc. 2015 Nov;22(6):1173-8. doi: 10.1093/jamia/ocv045. Epub 2015 Jul 21.
6
Genomic considerations for FHIR®; eMERGE implementation lessons.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.
7
Towards the Representation of Genomic Data in HL7 FHIR and OMOP CDM.迈向 HL7 FHIR 和 OMOP CDM 中基因组数据的表示。
Stud Health Technol Inform. 2021 Sep 21;283:86-94. doi: 10.3233/SHTI210545.
8
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries.基于 FHIR 的电子健康记录表型框架的开发:以从出院小结中识别肥胖且伴有多种合并症的患者为例。
J Biomed Inform. 2019 Nov;99:103310. doi: 10.1016/j.jbi.2019.103310. Epub 2019 Oct 14.
9
Opening the Duke electronic health record to apps: Implementing SMART on FHIR.向应用程序开放杜克大学电子健康记录:在FHIR上实施SMART。
Int J Med Inform. 2017 Mar;99:1-10. doi: 10.1016/j.ijmedinf.2016.12.005. Epub 2016 Dec 12.
10
Development of an HL7 FHIR Architecture for Implementation of a Knowledge-based Interdisciplinary EHR.用于实施基于知识的跨学科电子健康记录的HL7 FHIR架构的开发。
Stud Health Technol Inform. 2019 Jul 4;262:256-259. doi: 10.3233/SHTI190067.

引用本文的文献

1
Genomics on FHIR - a feasibility study to support a National Strategy for Genomic Medicine.基于FHIR的基因组学——一项支持国家基因组医学战略的可行性研究。
NPJ Genom Med. 2025 Jul 29;10(1):57. doi: 10.1038/s41525-025-00516-1.
2
Sync for Genes Phase 5: Computable artifacts for sharing dynamically annotated FHIR-formatted genomic variants.基因同步第5阶段:用于共享动态注释的FHIR格式基因组变异的可计算工件。
Learn Health Syst. 2023 Aug 30;7(4):e10385. doi: 10.1002/lrh2.10385. eCollection 2023 Oct.
3
Automated HL7v2 LRI informatics framework for streamlining genomics-EHR data integration.

本文引用的文献

1
FHIR Genomics: enabling standardization for precision medicine use cases.FHIR基因组学:助力精准医疗用例的标准化。
NPJ Genom Med. 2020 Mar 18;5:13. doi: 10.1038/s41525-020-0115-6. eCollection 2020.
2
Genomic Information for Clinicians in the Electronic Health Record: Lessons Learned From the Clinical Genome Resource Project and the Electronic Medical Records and Genomics Network.电子健康记录中面向临床医生的基因组信息:从临床基因组资源项目和电子病历与基因组学网络中汲取的经验教训。
Front Genet. 2019 Oct 29;10:1059. doi: 10.3389/fgene.2019.01059. eCollection 2019.
3
Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network.
用于简化基因组学与电子健康记录数据整合的自动化HL7v2 LRI信息学框架。
J Pathol Inform. 2023 Aug 15;14:100330. doi: 10.1016/j.jpi.2023.100330. eCollection 2023.
4
Machine Learning-Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review.使用快速医疗保健互操作性资源数据标准的机器学习临床信息系统:范围审查
JMIR Med Inform. 2023 Aug 24;11:e48297. doi: 10.2196/48297.
5
Designing Interoperable Health Care Services Based on Fast Healthcare Interoperability Resources: Literature Review.基于快速医疗互操作性资源设计可互操作的医疗服务:文献综述
JMIR Med Inform. 2023 Aug 21;11:e44842. doi: 10.2196/44842.
6
Introducing HL7 FHIR Genomics Operations: a developer-friendly approach to genomics-EHR integration.介绍 HL7 FHIR 基因组学操作:一种面向开发者的基因组学-EHR 集成方法。
J Am Med Inform Assoc. 2023 Feb 16;30(3):485-493. doi: 10.1093/jamia/ocac246.
7
HL7 FHIR-based tools and initiatives to support clinical research: a scoping review.基于 HL7 FHIR 的工具和计划支持临床研究:范围综述。
J Am Med Inform Assoc. 2022 Aug 16;29(9):1642-1653. doi: 10.1093/jamia/ocac105.
协调 eMERGE III 网络的临床测序和解读。
Am J Hum Genet. 2019 Sep 5;105(3):588-605. doi: 10.1016/j.ajhg.2019.07.018. Epub 2019 Aug 22.
4
A Pharmacogenomics Clinical Decision Support Service Based on FHIR and CDS Hooks.基于FHIR和CDS挂钩的药物基因组学临床决策支持服务
Methods Inf Med. 2018 Dec;57(S 02):e115-e123. doi: 10.1055/s-0038-1676466. Epub 2019 Jan 3.
5
SMART Cancer Navigator: A Framework for Implementing ASCO Workshop Recommendations to Enable Precision Cancer Medicine.智能癌症导航器:实施美国临床肿瘤学会研讨会建议以推动精准癌症医学的框架。
JCO Precis Oncol. 2018;2018. doi: 10.1200/PO.17.00292. Epub 2018 May 1.
6
Clinical providers' experiences with returning results from genomic sequencing: an interview study.临床医疗人员反馈基因组测序结果的经历:一项访谈研究
BMC Med Genomics. 2018 May 8;11(1):45. doi: 10.1186/s12920-018-0360-z.
7
Improved VCF normalization for accurate VCF comparison.改进VCF标准化以实现准确的VCF比较。
Bioinformatics. 2017 Apr 1;33(7):964-970. doi: 10.1093/bioinformatics/btw748.
8
SMART precision cancer medicine: a FHIR-based app to provide genomic information at the point of care.SMART精准癌症医学:一款基于FHIR的应用程序,用于在医疗现场提供基因组信息。
J Am Med Inform Assoc. 2016 Jul;23(4):701-10. doi: 10.1093/jamia/ocw015. Epub 2016 Mar 27.
9
A Review on Genomics APIs.基因组学应用程序编程接口综述
Comput Struct Biotechnol J. 2015 Oct 31;14:8-15. doi: 10.1016/j.csbj.2015.10.004. eCollection 2016.
10
ClinVar: public archive of interpretations of clinically relevant variants.ClinVar:临床相关变异解读的公共存档库。
Nucleic Acids Res. 2016 Jan 4;44(D1):D862-8. doi: 10.1093/nar/gkv1222. Epub 2015 Nov 17.