Nakabayashi Kazuhiko, Tajima Atsushi, Shirasawa Senji
Department of Maternal-Fetal Biology, National Center for Child Health and Development.
Nihon Rinsho. 2009 Mar;67(3):469-76.
Information about human genetic variation collected by the HapMap project and recent advances in high-throughput genotyping have made genome-wide association studies (GWAS) technically feasible. In the past two years, through GWAS using commercially available SNP-typing platforms, numerous loci contributing to disease risk have been identified for common diseases including rheumatoid arthritis and systemic lupus erythematosus. From such successful studies, human geneticists have gained not only broad consensuses in methodological and technical issues, but also clear recognition about the current limitations in the common SNP-based GWAS strategy. Large-scale projects are ongoing to comprehensively catalogue genome structural variants and rare SNPs in multiple human populations. Such a deeper catalogue of genetic variation will accelerate the identification of genetic risk variants associated with common diseases.
国际人类基因组单体型图计划(HapMap计划)收集的人类遗传变异信息以及高通量基因分型技术的最新进展,使得全基因组关联研究(GWAS)在技术上成为可行。在过去两年中,通过使用商用单核苷酸多态性(SNP)分型平台进行全基因组关联研究,已识别出许多导致包括类风湿性关节炎和系统性红斑狼疮在内的常见疾病发病风险的基因座。从这些成功的研究中,人类遗传学家不仅在方法学和技术问题上达成了广泛共识,而且对基于常见单核苷酸多态性的全基因组关联研究策略目前的局限性也有了清晰认识。目前正在开展大规模项目,以全面编目多个人类群体中的基因组结构变异和罕见单核苷酸多态性。这样一份更深入的遗传变异目录将加速与常见疾病相关的遗传风险变异的识别。