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High-throughput screening for evidence of association by using mass spectrometry genotyping on DNA pools

机译:通过对DNA池进行质谱基因分型来进行高通量筛选以寻找关联证据

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摘要

To facilitate positional cloning of complex trait susceptibility loci, we are investigating methods to reduce the effort required to identify trait-associated alleles. We examined primer extension analysis by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry to screen single-nucleotide polymorphisms (SNPs) for association by using DNA pools. We tested whether this method can accurately estimate allele frequency differences between pools while maintaining the high-throughput nature of assay design, sample handling, and scoring. We follow up interesting allele frequency differences in pools by genotyping individuals. We tested DNA pools of 182, 228, and 499 individuals using 16 SNPs with minor allele frequencies 0.026–0.486 and allele frequency differences 0.001–0.108 that we had genotyped previously on individuals and 381 SNPs that we had not. Precision, as measured by the average standard deviation among 16 semidependent replicates, was 0.021 ± 0.011 for the 16 SNPs and 0.018 ± 0.008 for the 291/381 SNPs used in further analysis. For the 16 SNPs, the average absolute error in predicting allele frequency differences between pools was 0.009; the largest errors were 0.031, 0.028, and 0.027. We determined that compensating for unequal peak heights in heterozygotes improved precision of allele frequency estimates but had only a very minor effect on accuracy of allele frequency differences between pools. Based on these data and assuming pools of 500 individuals, we conclude that at significance level 0.05 we would have 95% (82%) power to detect population allele frequency differences of 0.07 for control allele frequencies of 0.10 (0.50).
机译:为了促进复杂性状易感基因座的位置克隆,我们正在研究减少鉴定与性状相关的等位基因所需的工作的方法。我们通过基质辅助激光解吸/电离飞行时间质谱分析了引物延伸分析,以筛选单核苷酸多态性(SNP),以使用DNA库进行关联。我们测试了这种方法是否可以准确估计池之间的等位基因频率差异,同时保持测定设计,样品处理和评分的高通量性质。我们通过对个体进行基因分型来追踪有趣的等位基因频率差异。我们使用16个SNP分别测试了182、228和499个个体的DNA库,这些SNP的等位基因频率为0.026-0.486,而等位基因频率差异为0.001-0.108(我们以前在个体上进行了基因分型),而381个SNP没有。由16个半独立重复样本之间的平均标准差测得的精密度,在进一步分析中使用的16个SNP为0.021±0.011,对于291/381 SNP为0.018±0.008。对于16个SNP,预测各库之间等位基因频率差异的平均绝对误差为0.009;最大误差为0.031、0.028和0.027。我们确定,在杂合子中补偿不相等的峰高可以提高等位基因频率估计的精度,但对库之间等位基因频率差异的准确性影响很小。基于这些数据并假设有500个个体,我们得出结论,在显着性水平0.05时,对于控制等位基因频率为0.10(0.50),我们有95%(82%)的能力可以检测到0.07的人群等位基因频率差异。

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