臨床ゲノム研究の現状とPharmacogenomics (PGx) のガイドラインの整備
スポンサーリンク
概要
- 論文の詳細を見る
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.
著者
関連論文
- ヒトゲノム多様性研究の基礎と臨床応用 (遺伝子検査の最近の展開--ヒトゲノム多様性と医療応用)
- 臨床ゲノム研究の現状とPharmacogenomics (PGx) のガイドラインの整備
- 自己免疫疾患の遺伝子学 (臨床遺伝子学'08)
- 代謝性疾患の遺伝子学 (臨床遺伝子学'10)
- 全ゲノム関連解析(GWAS)の統計的手法(バイオインフォマティクス)
- 全ゲノム関連解析--歴史的背景と現状 (特集 全ゲノム関連解析と多因子疾患)
- ゲノム多様性を利用した, 疾患と薬物反応性解析の数理的基礎
- ゲノム新時代における遺伝力(heritability)の解釈と応用
- 解析技術 遺伝子解析における統計解析手法 (遺伝子診療学(第2版)--遺伝子診断の進歩とゲノム治療の展望) -- (遺伝子診断)
- APP-033 A functional variant in NKX3.1 associated with prostate cancer susceptibility down-regulates NKX3.1 expression(総会賞応募ポスター,第99回日本泌尿器科学会総会)
- ゲノムワイドアプローチによる高尿酸血症・低尿酸血症の遺伝素因の解明
- 薬理遺伝学の方向性
- ゲノムワイド関連解析 (Genome-wide association study ; GWAS) の進展と展望
- 個人のゲノムデータの臨床応用 : 高尿酸血症と痛風を中心に