摘要
近年复杂性疾病遗传学和遗传流行病学研究日益增多,已完成的人类基因组单体型图(HapMap)计划进一步推动了复杂疾病的易感基因的研究,全基因组关联研究已经成为现实,随之而来的问题是如何合理设计研究、合理处理和解释大量的数据信息。分析基因与环境以及基因之间的交互作用和减少关联研究的假阳性是对复杂性疾病遗传学和遗传流行病学研究领域的重要挑战。
With the rapid development of human genome project, increased genetic and populationbased association studies are focused on the identification of the underlying susceptibility genes and contributions from gene-environment interaction to common complex diseases. Whole-genome association study with high-density single nucleotide polymorphisms is one of the most important milestones in that process. However, problems still exist in study design, data processing, and results interpretation. study or population-based case-control design with sufficient statistical power, new approaches to assess the gene-gene and gene-environment interactions, as guarantee of the consistency and replicability of these researches are crucial in the exploration of the causes of these common complex diseases.
出处
《中国医学科学院学报》
CAS
CSCD
北大核心
2006年第2期115-118,共4页
Acta Academiae Medicinae Sinicae
