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研究复杂疾病中基因与环境因素的流行病学方法。

Epidemiological methods for studying genes and environmental factors in complex diseases.

作者信息

Clayton D, McKeigue P M

机构信息

Department of Medical Genetics, Cambridge University, Level 4, Cambridge Institute for Medical Research, Addenbrooke's Hospital, Hills Road, CB2 2QQ, Cambridge, UK.

出版信息

Lancet. 2001 Oct 20;358(9290):1356-60. doi: 10.1016/S0140-6736(01)06418-2.

Abstract

Exploration of the human genome presents new challenges and opportunities for epidemiological research. Although the case-control design is quicker and cheaper for study of associations between genotype and risk of disease than the cohort design, cohort studies have been recommended because they can be used to study gene-environment interactions. Although the scientific relevance of statistical interaction is pertinent, the main disadvantage of the case-control design-susceptibility to bias when estimating effects of exposures that are measured retrospectively-does not necessarily apply when studying statistical interaction between genotype and environmental exposure. Because correctly designed genetic association studies are equivalent to randomised comparisons between genotypes, conclusions about cause can be drawn from genetic associations even when the risk ratio is modest. For adequate statistical power to detect such modest risk ratios, the case-control design is more feasible than the cohort design.

摘要

人类基因组的探索给流行病学研究带来了新的挑战和机遇。尽管在研究基因型与疾病风险之间的关联时,病例对照设计比队列设计更快、更便宜,但由于队列研究可用于研究基因与环境的相互作用,因此有人推荐使用队列研究。虽然统计交互作用的科学相关性是相关的,但病例对照设计的主要缺点——在回顾性测量暴露效应时易受偏差影响——在研究基因型与环境暴露之间的统计交互作用时不一定适用。由于正确设计的基因关联研究等同于基因型之间的随机比较,即使风险比适中,也可以从基因关联中得出关于因果关系的结论。为了有足够的统计效力来检测这种适度的风险比,病例对照设计比队列设计更可行。

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