Suppr超能文献

基因组连接:患者、临床实验室和研究人员之间的匹配,以增进基因组知识。

GenomeConnect: matchmaking between patients, clinical laboratories, and researchers to improve genomic knowledge.

作者信息

Kirkpatrick Brianne E, Riggs Erin Rooney, Azzariti Danielle R, Miller Vanessa Rangel, Ledbetter David H, Miller David T, Rehm Heidi, Martin Christa Lese, Faucett W Andrew

机构信息

Geisinger Health System, Danville, Pennsylvania.

Laboratory for Molecular Medicine, Partners Personalized Medicine, Boston, Massachusetts.

出版信息

Hum Mutat. 2015 Oct;36(10):974-8. doi: 10.1002/humu.22838. Epub 2015 Aug 6.

Abstract

As the utility of genetic and genomic testing in healthcare grows, there is need for a high-quality genomic knowledge base to improve the clinical interpretation of genomic variants. Active patient engagement can enhance communication between clinicians, patients, and researchers, contributing to knowledge building. It also encourages data sharing by patients and increases the data available for clinicians to incorporate into individualized patient care, clinical laboratories to utilize in test interpretation, and investigators to use for research. GenomeConnect is a patient portal supported by the Clinical Genome Resource (ClinGen), providing an opportunity for patients to add to the knowledge base by securely sharing their health history and genetic test results. Data can be matched with queries from clinicians, laboratory personnel, and researchers to better interpret the results of genetic testing and build a foundation to support genomic medicine. Participation is online, allowing patients to contribute regardless of location. GenomeConnect supports longitudinal, detailed clinical phenotyping and robust "matching" among research and clinical communities. Phenotype data are gathered using online health questionnaires; genotype data are obtained from genetic test reports uploaded by participants and curated by staff. GenomeConnect empowers patients to actively participate in the improvement of genomic test interpretation and clinical utility.

摘要

随着基因和基因组检测在医疗保健中的作用不断增强,需要一个高质量的基因组知识库来改善基因组变异的临床解读。患者的积极参与可以加强临床医生、患者和研究人员之间的沟通,有助于知识积累。它还鼓励患者分享数据,并增加可供临床医生纳入个性化患者护理、临床实验室用于检测解读以及研究人员用于研究的数据。GenomeConnect是一个由临床基因组资源(ClinGen)支持的患者门户,为患者提供了一个通过安全共享其健康史和基因检测结果来增加知识库的机会。数据可以与临床医生、实验室人员和研究人员的查询进行匹配,以更好地解读基因检测结果,并为支持基因组医学奠定基础。参与是在线进行的,患者无论身在何处都可以做出贡献。GenomeConnect支持纵向、详细的临床表型分析以及研究和临床社区之间强大的“匹配”。表型数据通过在线健康问卷收集;基因型数据从参与者上传并由工作人员整理的基因检测报告中获取。GenomeConnect使患者能够积极参与改善基因检测解读和临床效用。

相似文献

1
2
ClinGen's GenomeConnect registry enables patient-centered data sharing.
Hum Mutat. 2018 Nov;39(11):1668-1676. doi: 10.1002/humu.23633.
3
ClinGen advancing genomic data-sharing standards as a GA4GH driver project.
Hum Mutat. 2018 Nov;39(11):1686-1689. doi: 10.1002/humu.23625.
4
Facilitating collaboration in rare genetic disorders through effective matchmaking in DECIPHER.
Hum Mutat. 2015 Oct;36(10):941-9. doi: 10.1002/humu.22842. Epub 2015 Aug 20.
5
6
Recontacting registry participants with genetic updates through GenomeConnect, the ClinGen patient registry.
Genet Med. 2021 Sep;23(9):1738-1745. doi: 10.1038/s41436-021-01197-8. Epub 2021 May 18.
7
Seven years since the launch of the Matchmaker Exchange: The evolution of genomic matchmaking.
Hum Mutat. 2022 Jun;43(6):659-667. doi: 10.1002/humu.24373. Epub 2022 May 10.
8
The Matchmaker Exchange: a platform for rare disease gene discovery.
Hum Mutat. 2015 Oct;36(10):915-21. doi: 10.1002/humu.22858.
9
PhenomeCentral: a portal for phenotypic and genotypic matchmaking of patients with rare genetic diseases.
Hum Mutat. 2015 Oct;36(10):931-40. doi: 10.1002/humu.22851. Epub 2015 Aug 31.

引用本文的文献

4
The Brain Gene Registry: a data snapshot.
J Neurodev Disord. 2024 Apr 17;16(1):17. doi: 10.1186/s11689-024-09530-3.
6
Clinical variants paired with phenotype: A rich resource for brain gene curation.
Genet Med. 2024 Mar;26(3):101035. doi: 10.1016/j.gim.2023.101035. Epub 2023 Dec 4.
7
Clinical validity assessment of genes frequently tested on intellectual disability/autism sequencing panels.
Genet Med. 2022 Sep;24(9):1899-1908. doi: 10.1016/j.gim.2022.05.001. Epub 2022 May 26.
8
Seven years since the launch of the Matchmaker Exchange: The evolution of genomic matchmaking.
Hum Mutat. 2022 Jun;43(6):659-667. doi: 10.1002/humu.24373. Epub 2022 May 10.
9
GeneTerpret: a customizable multilayer approach to genomic variant prioritization and interpretation.
BMC Med Genomics. 2022 Feb 18;15(1):31. doi: 10.1186/s12920-022-01166-3.
10
A clinician's guide to omics resources in dermatology.
Clin Exp Dermatol. 2022 May;47(5):858-866. doi: 10.1111/ced.15117. Epub 2022 Mar 3.

本文引用的文献

1
The Matchmaker Exchange: a platform for rare disease gene discovery.
Hum Mutat. 2015 Oct;36(10):915-21. doi: 10.1002/humu.22858.
2
Participant-driven matchmaking in the genomic era.
Hum Mutat. 2015 Oct;36(10):965-73. doi: 10.1002/humu.22852. Epub 2015 Aug 27.
3
ClinGen--the Clinical Genome Resource.
N Engl J Med. 2015 Jun 4;372(23):2235-42. doi: 10.1056/NEJMsr1406261. Epub 2015 May 27.
4
Advances in Patient-Reported Outcomes: The NIH PROMIS(®) Measures.
EGEMS (Wash DC). 2013 Aug 2;1(1):1015. doi: 10.13063/2327-9214.1015. eCollection 2013.
5
Online self-report data for duchenne muscular dystrophy confirms natural history and can be used to assess for therapeutic benefits.
PLoS Curr. 2014 Oct 17;6:ecurrents.md.e1e8f2be7c949f9ffe81ec6fca1cce6a. doi: 10.1371/currents.md.e1e8f2be7c949f9ffe81ec6fca1cce6a.
10
The human phenotype ontology.
Clin Genet. 2010 Jun;77(6):525-34. doi: 10.1111/j.1399-0004.2010.01436.x. Epub 2010 Feb 11.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验