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本文引用的文献

1
APOL1 risk variants, race, and progression of chronic kidney disease.APOL1 风险变异体、种族与慢性肾脏病的进展。
N Engl J Med. 2013 Dec 5;369(23):2183-96. doi: 10.1056/NEJMoa1310345. Epub 2013 Nov 9.
2
Integration of genomics into the electronic health record: mapping terra incognita.将基因组学纳入电子健康记录:绘制未知领域的地图。
Genet Med. 2013 Oct;15(10):757-60. doi: 10.1038/gim.2013.102.
3
Clinical whole-exome sequencing for the diagnosis of mendelian disorders.临床全外显子测序用于孟德尔疾病的诊断。
N Engl J Med. 2013 Oct 17;369(16):1502-11. doi: 10.1056/NEJMoa1306555. Epub 2013 Oct 2.
4
Actionable, pathogenic incidental findings in 1,000 participants' exomes.1000 名参与者外显子组中的可操作、致病性偶然发现。
Am J Hum Genet. 2013 Oct 3;93(4):631-40. doi: 10.1016/j.ajhg.2013.08.006. Epub 2013 Sep 19.
5
Stakeholder engagement: a key component of integrating genomic information into electronic health records.利益相关者的参与:将基因组信息整合到电子健康记录中的关键组成部分。
Genet Med. 2013 Oct;15(10):792-801. doi: 10.1038/gim.2013.127. Epub 2013 Sep 12.
6
Ethical, legal, and social implications of incorporating genomic information into electronic health records.将基因组信息纳入电子健康记录的伦理、法律和社会影响。
Genet Med. 2013 Oct;15(10):810-6. doi: 10.1038/gim.2013.117. Epub 2013 Sep 12.
7
Return of secondary genomic findings vs patient autonomy: implications for medical care.二次基因组结果的反馈与患者自主权:对医疗护理的影响
JAMA. 2013 Jul 24;310(4):369-70. doi: 10.1001/jama.2013.41709.
8
Mandatory extended searches in all genome sequencing: "incidental findings," patient autonomy, and shared decision making.所有基因组测序中的强制扩展搜索:“偶然发现”、患者自主权与共同决策
JAMA. 2013 Jul 24;310(4):367-8. doi: 10.1001/jama.2013.41700.
9
Toward an integrated meta-model of public health dynamics for preparedness decision support.构建用于应急准备决策支持的公共卫生动态综合元模型。
J Public Health Manag Pract. 2013 Sep-Oct;19 Suppl 2(0 2):S12-5. doi: 10.1097/PHH.0b013e31828a842f.
10
Bringing genome-wide association findings into clinical use.将全基因组关联研究结果应用于临床实践。
Nat Rev Genet. 2013 Aug;14(8):549-58. doi: 10.1038/nrg3523. Epub 2013 Jul 9.

eMERGE 网络基因组医学项目的结果回报。

Return of results in the genomic medicine projects of the eMERGE network.

机构信息

Division of Cardiovascular Diseases, Mayo Clinic Rochester, MN, USA.

Cincinnati Children's Hospital Medical Center Cincinnati, OH, USA.

出版信息

Front Genet. 2014 Mar 26;5:50. doi: 10.3389/fgene.2014.00050. eCollection 2014.

DOI:10.3389/fgene.2014.00050
PMID:24723935
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3972474/
Abstract

The electronic Medical Records and Genomics (eMERGE) (Phase I) network was established in 2007 to further genomic discovery using biorepositories linked to the electronic health record (EHR). In Phase II, which began in 2011, genomic discovery efforts continue and in addition the network is investigating best practices for implementing genomic medicine, in particular, the return of genomic results in the EHR for use by physicians at point-of-care. To develop strategies for addressing the challenges of implementing genomic medicine in the clinical setting, the eMERGE network is conducting studies that return clinically-relevant genomic results to research participants and their health care providers. These genomic medicine pilot studies include returning individual genetic variants associated with disease susceptibility or drug response, as well as genetic risk scores for common "complex" disorders. Additionally, as part of a network-wide pharmacogenomics-related project, targeted resequencing of 84 pharmacogenes is being performed and select genotypes of pharmacogenetic relevance are being placed in the EHR to guide individualized drug therapy. Individual sites within the eMERGE network are exploring mechanisms to address incidental findings generated by resequencing of the 84 pharmacogenes. In this paper, we describe studies being conducted within the eMERGE network to develop best practices for integrating genomic findings into the EHR, and the challenges associated with such work.

摘要

电子病历与基因组学(eMERGE)(第一阶段)网络于 2007 年成立,旨在利用与电子健康记录(EHR)相关联的生物库进一步进行基因组学发现。在 2011 年开始的第二阶段,基因组学发现工作仍在继续,此外,该网络还在调查实施基因组医学的最佳实践,特别是在 EHR 中返回基因组结果,以便医生在护理点使用。为了制定在临床环境中实施基因组医学的策略,eMERGE 网络正在进行研究,将与临床相关的基因组结果返回给研究参与者及其医疗保健提供者。这些基因组医学试点研究包括返回与疾病易感性或药物反应相关的个体遗传变异,以及常见“复杂”疾病的遗传风险评分。此外,作为网络范围内与药物基因组学相关项目的一部分,对 84 个药物基因进行靶向重测序,并将药物基因组学相关的选择基因型置于 EHR 中,以指导个体化药物治疗。eMERGE 网络中的各个站点正在探索解决 84 个药物基因重测序产生的偶然发现的机制。在本文中,我们描述了 eMERGE 网络内正在进行的研究,以制定将基因组学发现整合到 EHR 中的最佳实践,以及与这项工作相关的挑战。