Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece.
Pharmacogenomics. 2011 Jan;12(1):49-58. doi: 10.2217/pgs.10.169.
Population and ethnic group-specific allele frequencies of pharmacogenomic markers are poorly documented and not systematically collected in structured data repositories. We developed the Frequency of Inherited Disorders Pharmacogenomics database (FINDbase-PGx), a separate module of the FINDbase, aiming to systematically document pharmacogenomic allele frequencies in various populations and ethnic groups worldwide.
MATERIALS & METHODS: We critically collected and curated 214 scientific articles reporting pharmacogenomic markers allele frequencies in various populations and ethnic groups worldwide. Subsequently, in order to host the curated data, support data visualization and data mining, we developed a website application, utilizing Microsoft™ PivotViewer software.
Curated allelic frequency data pertaining to 144 pharmacogenomic markers across 14 genes, representing approximately 87,000 individuals from 150 populations worldwide, are currently included in FINDbase-PGx. A user-friendly query interface allows for easy data querying, based on numerous content criteria, such as population, ethnic group, geographical region, gene, drug and rare allele frequency.
FINDbase-PGx is a comprehensive database, which, unlike other pharmacogenomic knowledgebases, fulfills the much needed requirement to systematically document pharmacogenomic allelic frequencies in various populations and ethnic groups worldwide.
药物基因组学标记的人群和种族特异性等位基因频率的相关信息记录较少,且未在结构化数据存储库中系统收集。我们开发了遗传疾病药物基因组学数据库(FINDbase-PGx),这是 FINDbase 的一个单独模块,旨在系统地记录世界各地不同人群和种族的药物基因组学等位基因频率。
我们仔细收集并整理了 214 篇报告了世界各地不同人群和种族的药物基因组学标记等位基因频率的科学文章。随后,为了托管整理后的数据、支持数据可视化和数据挖掘,我们开发了一个网站应用程序,利用了 Microsoft™ PivotViewer 软件。
目前,FINDbase-PGx 中包含了 144 个药物基因组学标记的经过整理的等位基因频率数据,这些数据涉及 14 个基因,代表了来自全球 150 个群体的约 87000 个人。用户友好的查询界面允许根据众多内容标准(如人群、种族、地理位置、基因、药物和罕见等位基因频率)轻松查询数据。
FINDbase-PGx 是一个全面的数据库,与其他药物基因组学知识库不同,它满足了系统地记录世界各地不同人群和种族的药物基因组学等位基因频率的迫切需求。