Guessous I, Gwinn M, Yu W, Yeh J, Clyne M, Khoury M J
Department of Epidemiology, National Office of Public Health Genomics, Centers for Disease Control and Prevention, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Public Health Genomics. 2009;12(3):142-8. doi: 10.1159/000189626. Epub 2009 Feb 10.
Pharmacogenomic epidemiology (PGxE) assesses the range of responses to pharmacologic agents in relation to genetic variation in population groups. We analyzed publication trends to describe the emerging field of PGxE.
We analyzed PGxE literature published from 2001 to 2007 by using the HuGE Navigator, a curated database of abstracts on human genome epidemiology extracted from PubMed. We summarized trends by gene and study design and, for the 4 most cited genes, by associated health outcomes and drugs.
In all, 1,855 PGxE articles were indexed from 2001 through 2007, with annual publications increasing more than 15-fold during this period. Observational studies outnumbered clinical trials by a ratio of 10 to 1 (1,660 vs. 178). Just 4 genes together accounted for nearly one-fifth of all publications: ABCB1, CYP2C9, CYP2C19, and CYP2D6. For these 4 genes, the most frequently cited therapeutic category was antineoplastic agent, followed by anticoagulant, antiulcer, and antidepressant. Warfarin was the single most frequently cited drug.
The field of PGxE is growing rapidly, encompassing a large spectrum of diseases and drugs important in clinical practice. Systematic tracking and synthesis of the published literature in PGxE can help identify promising applications and guide translation research.
药物基因组流行病学(PGxE)评估人群组中与基因变异相关的药物反应范围。我们分析了发表趋势以描述PGxE这一新兴领域。
我们使用HuGE Navigator分析了2001年至2007年发表的PGxE文献,HuGE Navigator是一个从PubMed中提取的人类基因组流行病学摘要的精选数据库。我们按基因和研究设计总结了趋势,并对引用最多的4个基因按相关健康结局和药物进行了总结。
2001年至2007年共索引了1855篇PGxE文章,在此期间年发表量增加了15倍多。观察性研究的数量是临床试验的10倍(1660篇对178篇)。仅4个基因就占了所有出版物的近五分之一:ABCB1、CYP2C9、CYP2C19和CYP2D6。对于这4个基因,最常被引用的治疗类别是抗肿瘤药物,其次是抗凝剂、抗溃疡药和抗抑郁药。华法林是最常被引用的单一药物。
PGxE领域正在迅速发展,涵盖了临床实践中重要的广泛疾病和药物。对PGxE已发表文献进行系统的跟踪和综合分析有助于识别有前景的应用并指导转化研究。