Objective Most genome-wide association studies (GWAS) of complex traits are performed using models with additive allelic effects. Hundreds of loci associated with type 2 diabetes have been identified using this approach. Additive models, however, can miss loci with recessive effects, thereby leaving potentially important genes undiscovered.

中文翻译：

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使用隐性模型的全基因组关联荟萃分析阐明 2 型糖尿病的遗传结构

目的大多数复杂性状的全基因组关联研究 (GWAS) 是使用具有加性等位基因效应的模型进行的。使用这种方法已经鉴定了数百个与 2 型糖尿病相关的基因座。然而，加法模型可能会遗漏具有隐性效应的基因座，从而导致潜在的重要基因未被发现。