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药物遗传学:研究项目及其他大型数据集推动该领域发展的机遇

Pharmacogenetics: Opportunities for the Research Program and Other Large Data Sets to Advance the Field.

作者信息

Empey Philip E, Karnes Jason H, Johnson Julie A

机构信息

Center for Clinical Pharmaceutical Sciences, School of Pharmacy; and Institute for Precision Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; email:

Department of Pharmacy Practice and Science, R. Ken Coit College of Pharmacy, University of Arizona, Tucson, Arizona, USA.

出版信息

Annu Rev Pharmacol Toxicol. 2025 Jan;65(1):111-130. doi: 10.1146/annurev-pharmtox-061724-080718.

DOI:10.1146/annurev-pharmtox-061724-080718
PMID:39847465
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12262141/
Abstract

Pharmacogenetic variation is common and an established driver of response for many drugs. There has been tremendous progress in pharmacogenetics knowledge over the last 30 years and in clinical implementation of that knowledge over the last 15 years. But there have also been many examples where translation has stalled because of the lack of available data sets for discovery or validation research. The recent availability of data from very large cohorts with linked genetic, electronic health record, and other data promises new opportunities to advance pharmacogenetics research. This review presents the stages from pharmacogenetics discovery to widespread clinical adoption using prominent gene-drug pairs that have been implemented into clinical practice as examples. We discuss the opportunities that the Research Program and other large biorepositories with genomic and linked electronic health record data present in advancing and accelerating the translation of pharmacogenetics into clinical practice.

摘要

药物遗传学变异很常见,并且是许多药物反应的既定驱动因素。在过去30年里,药物遗传学知识取得了巨大进展,在过去15年里,该知识在临床应用方面也取得了巨大进展。但也有许多例子表明,由于缺乏用于发现或验证研究的可用数据集,转化工作陷入停滞。最近,来自具有关联基因、电子健康记录和其他数据的超大型队列的数据为推进药物遗传学研究带来了新机遇。本综述以已应用于临床实践的突出基因-药物对为例,介绍了从药物遗传学发现到广泛临床应用的各个阶段。我们讨论了精准医疗项目和其他拥有基因组及关联电子健康记录数据的大型生物样本库在推进和加速药物遗传学向临床实践转化方面所带来的机遇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddfa/12262141/475e4dd406c6/nihms-2094032-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddfa/12262141/c6e251948a3b/nihms-2094032-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddfa/12262141/475e4dd406c6/nihms-2094032-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddfa/12262141/c6e251948a3b/nihms-2094032-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddfa/12262141/475e4dd406c6/nihms-2094032-f0002.jpg

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本文引用的文献

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Circulation. 2024 Aug 6;150(6):e129-e150. doi: 10.1161/CIR.0000000000001257. Epub 2024 Jun 20.
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The frequency of pathogenic variation in the All of Us cohort reveals ancestry-driven disparities.
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Commun Biol. 2024 Feb 19;7(1):174. doi: 10.1038/s42003-023-05708-y.
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The All of Us Research Program is an opportunity to enhance the diversity of US biomedical research.“我们所有人”研究计划是一个增强美国生物医学研究多样性的契机。
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