首页> 外文期刊>European journal of human genetics: EJHG >Most pooling variation in array-based DNA pooling is attributable to array error rather than pool construction error.
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Most pooling variation in array-based DNA pooling is attributable to array error rather than pool construction error.

机译:基于阵列的DNA池中的大多数池变化都归因于阵列错误而不是池构建错误。

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摘要

Genome-wide association (GWA) approaches are important in complex disease gene mapping studies but are often prohibitively expensive. Array-based DNA pooling has been shown to offer substantial cost savings compared with individual genotyping. This reduced cost potentially brings well-powered GWA studies well within the reach of most laboratories. The main factor, which affects the efficiency of pooling compared with individual genotyping is the magnitude of the pooling error variance. By examining variation between and within pools it is shown that most of the error associated with pooling is attributable to array variation not pooling construction variation (assuming the pools are not small and the pools are accurately constructed). With Affymetrix HindIII 50K arrays used here the array-specific variance is seven times the pooling construction variance. This has important implications for optimal study design for array-based pooling. Given carefully constructed pools, resources should be allocated toincreasing the number of arrays per sample rather than to constructing multiple pools.
机译:全基因组关联(GWA)方法在复杂疾病基因作图研究中很重要,但通常价格昂贵。与单独的基因分型相比,基于阵列的DNA合并已显示可节省大量成本。降低的成本可能使功能强大的GWA研究在大多数实验室的能力范围之内。与个体基因分型相比,影响合并效率的主要因素是合并误差方差的大小。通过检查池之间和池之间的变化,可以发现与池相关的大多数错误是由于数组变化而不是池结构差异引起的(假设池不小且池的构造正确)。在这里使用Affymetrix HindIII 50K阵列时,特定于阵列的方差是合并构造方差的7倍。这对于基于阵列的池的最佳研究设计具有重要意义。给定精心构造的池,应该分配资源以增加每个样本的阵列数量,而不是构造多个池。

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