Kamatani Naoyuki
Center for Genomic Medicine (CGM), RIKEN, Kanagawa.
Yakugaku Zasshi. 2011 Feb;131(2):263-8. doi: 10.1248/yakushi.131.263.
Since the whole human genome sequence has become available, the methods to search for genes of diseases or drugs responses (traits) have changed dramatically. The former approach designated as "candidate gene approach" is now dominated by "genome-wide approach". In the former approach, researchers search for the genes based on the functions using biochemistry and molecular biology; however, in the latter approach, the genes are searched for by the genetic and statistical methods. Initially, monogenic diseases were the targets of the researches; however, polygenic diseases and drug responses have become the targets. Parametric linkage analysis was quite useful for identifying responsible genes for monogenic diseases. Genome-wide association study (GWAS) has been introduced for the identification of the genes for polygenic diseases and drug responses. GWAS was first introduced from 2002 to 2004 in Center for Genomic Medicine, RIKEN but has expanded rapidly to other countries including US, Europe and Asian countries from 2005. In Nature Genetics journal, about half of the articles published recently include the data from GWAS studies. Both qualitative and quantitative traits have been analyzed by GWAS. Qualitative traits include diseases and drug responses and quantitative traits include physical measures and clinical laboratory test values. Recent reports about the association between drug responses and genes have clarified many important pharmacogenomic associations. For these data to be analyzed efficiently and used appropriately; however, guidelines for researches and clinical tests concerning pharmacogenomics (PGx) are necessary. "Guideline for pharmacogenomic test" was issued in 2009 and, in addition, an extended guideline covering various fields is now being discussed.
自从人类全基因组序列可用以来,寻找疾病基因或药物反应(性状)的方法发生了巨大变化。以前被称为“候选基因法”的方法现在已被“全基因组法”所主导。在以前的方法中,研究人员利用生物化学和分子生物学基于功能来寻找基因;然而,在后者的方法中,则通过遗传学和统计学方法来寻找基因。最初,单基因疾病是研究的目标;然而,多基因疾病和药物反应已成为目标。参数连锁分析对于鉴定单基因疾病的致病基因非常有用。全基因组关联研究(GWAS)已被引入用于鉴定多基因疾病和药物反应的基因。GWAS于2002年至2004年在日本理化学研究所基因组医学中心首次引入,但从2005年起迅速扩展到包括美国、欧洲和亚洲国家在内的其他国家。在《自然遗传学》杂志上,最近发表的文章中约有一半包含GWAS研究的数据。GWAS已对定性和定量性状进行了分析。定性性状包括疾病和药物反应,定量性状包括身体测量值和临床实验室检测值。最近关于药物反应与基因之间关联的报告已经阐明了许多重要的药物基因组学关联。然而,为了有效地分析这些数据并适当地使用它们,关于药物基因组学(PGx)的研究和临床试验指南是必要的。“药物基因组学检测指南”于2009年发布,此外,目前正在讨论一项涵盖各个领域的扩展指南。