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利用电子健康记录进行基因组学研究。

Using the electronic health record for genomics research.

机构信息

Atherosclerosis and Lipid Genomics Laboratory and Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.

出版信息

Curr Opin Lipidol. 2020 Apr;31(2):85-93. doi: 10.1097/MOL.0000000000000662.

Abstract

PURPOSE OF REVIEW

Although primarily designed for medical documentation and billing purposes, the electronic health record (EHR) has significant potential for translational research. In this article, we provide an overview of the use of the EHR for genomics research with a focus on heritable lipid disorders.

RECENT FINDINGS

Linking the EHR to genomic data enables repurposing of vast phenotype data for genomic discovery. EHR data can be used to study the genetic basis of common and rare disorders, identify subphenotypes of diseases, assess pathogenicity of novel genomic variants, investigate pleiotropy, and rapidly assemble cohorts for genomic medicine clinical trials. EHR-based discovery can inform clinical practice; examples include use of polygenic risk scores for assessing disease risk and use of phenotype data to interpret rare variants. Despite limitations such as missing data, variable use of standards and poor interoperablility between disparate systems, the EHR is a powerful resource for genomic research.

SUMMARY

When linked to genomic data, the EHR can be leveraged for genomic discovery, which in turn can inform clinical care, exemplifying the virtuous cycle of a learning healthcare system.

摘要

综述目的:电子健康记录(EHR)最初主要设计用于医疗文档和计费目的,但它在转化研究方面具有重要的潜力。本文重点介绍了遗传性脂质紊乱疾病,概述了 EHR 在基因组学研究中的应用。

最新发现:将 EHR 与基因组数据相关联,可实现对大量表型数据进行重新用于基因组发现。EHR 数据可用于研究常见和罕见疾病的遗传基础,识别疾病的亚表型,评估新基因组变异的致病性,研究多效性,并快速为基因组医学临床试验组建队列。基于 EHR 的发现可以为临床实践提供信息;例如,使用多基因风险评分评估疾病风险,以及使用表型数据解释罕见变异。尽管存在数据缺失、标准使用情况不同以及不同系统之间缺乏互操作性等限制,但 EHR 仍是基因组研究的强大资源。

总结:当与基因组数据相关联时,EHR 可用于基因组发现,进而为临床护理提供信息,体现了学习型医疗保健系统的良性循环。

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