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A Perspective on Epistasis: Limits of Models Displaying No Main Effect

机译:上位性的观点:没有主要影响的模型的局限性

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摘要

The completion of a draft sequence of the human genome and the promise of rapid single-nucleotide-polymorphism–genotyping technologies have resulted in a call for the abandonment of linkage studies in favor of genome scans for association. However, there exists a large class of genetic models for which this approach will fail: purely epistatic models with no additive or dominance variation at any of the susceptibility loci. As a result, traditional association methods (such as case/control, measured genotype, and transmission/disequilibrium test [TDT]) will have no power if the loci are examined individually. In this article, we examine this class of models, delimiting the range of genetic determination and recurrence risks for two-, three-, and four-locus purely epistatic models. Our study reveals that these models, although giving rise to no additive or dominance variation, do give rise to increased allele sharing between affected sibs. Thus, a genome scan for linkage could detect genomic subregions harboring susceptibility loci. We also discuss some simple multilocus extensions of single-locus analysis methods, including a conditional form of the TDT.
机译:人类基因组序列草案的完成以及快速单核苷酸多态性基因分型技术的前景,导致人们呼吁放弃连锁研究,而希望通过基因组扫描进行关联。但是,存在大量无法使用此方法的遗传模型:纯上位模型,在任何易感基因座处都没有加性或显性变化。结果,如果单独检查基因座,则传统的关联方法(例如病例/对照,基因型测定和传输/不平衡测试[TDT])将无能为力。在本文中,我们研究了这类模型,为两,三和四位纯上位基因模型界定了遗传测定和复发风险的范围。我们的研究表明,这些模型虽然不会引起加性或优势性变化,但确实会增加受影响同胞之间的等位基因共享。因此,进行连锁的基因组扫描可以检测出具有易感基因座的基因组亚区域。我们还讨论了单位置分析方法的一些简单的多位置扩展,包括TDT的条件形式。

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