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基因剖析方法:用于基因-环境相互作用测试的设计

Genetic dissection methods: designs used for tests of gene-environment interaction.

作者信息

Liu Xin, Fallin M Daniele, Kao W H Linda

机构信息

Department of Epidemiology & Biostatistics, University of California, San Francisco, 500 Parnassus Ave, San Francisco, CA 94143-0560, USA.

出版信息

Curr Opin Genet Dev. 2004 Jun;14(3):241-5. doi: 10.1016/j.gde.2004.04.011.

Abstract

Given recent advances in the field of molecular genetics, many have recognized the need to exploit either study designs or analytical methods to test hypotheses with gene-by-environment (G x E) interactions. The partial-collection designs, including case-only, partial case-control, and case-parent trio designs, have been suggested as attractive alternatives to the complete case-control design both for increased statistical efficiency and reduced data needs. However, common problems in genetic epidemiology studies, such as, presence of G x E correlation in the population, population mixture, and genotyping error may reduce the validity of these designs. On the basis of previous simulation studies and empirical data and given the potential limitations and uncertainty of assumptions of partial-collection designs, the case-control design is the optimal choice versus partial-collection designs.

摘要

鉴于分子遗传学领域最近的进展,许多人已经认识到有必要利用研究设计或分析方法来检验基因与环境(G×E)相互作用的假设。部分收集设计,包括仅病例、部分病例对照和病例-父母三联体设计,已被建议作为完全病例对照设计的有吸引力的替代方案,以提高统计效率并减少数据需求。然而,遗传流行病学研究中的常见问题,如人群中G×E相关性的存在、人群混合和基因分型错误,可能会降低这些设计的有效性。基于先前的模拟研究和经验数据,考虑到部分收集设计假设的潜在局限性和不确定性,与部分收集设计相比,病例对照设计是最佳选择。

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