首页> 外文期刊>European journal of human genetics: EJHG >Evaluation of power of the Illumina HumanOmni5M-4v1 BeadChip to detect risk variants for human complex diseases
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Evaluation of power of the Illumina HumanOmni5M-4v1 BeadChip to detect risk variants for human complex diseases

机译:评估Illumina HumanOmni5M-4v1 BeadChip检测人类复杂疾病风险变异的能力

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Although emerging sequencing technologies can characterize all genetic variants, the cost is still high. Illumina released the HumanOmni5M-4v1 (Omni5) genotype array with similar to 4.3M assayed SNPs, a much denser array compared with other available arrays. The Omni5 balances both cost and array density. In this article, we illustrate the power of Omni5 to detect genetic associations. The Omni5 includes variants with a wide range of minor allele frequencies down to <1%. The theoretical power calculation examples indicate the increased power of the Omni5 array compared with other arrays with lower density when evaluating associations with some known loci, although there are exceptions. We further evaluate the genetic associations between known loci and several quantitative traits in the Framingham Heart Study: femoral neck bone mineral density, lumbar spine bone mineral density and hippocampal volume. Finally, we search genome wide for novel associations using the Omni5 genotypes. We compare our association results from Affymetrix 500K+MIPS 50K arrays and two imputed data sets: (1) HapMap Phase II and (2) 1000 Genomes reference panel. We observed increased evidence for genotype-phenotype associations with smaller P-values for selected known loci using the Omni5 genotypes. With limited sample sizes, we identify novel variants with genome-wide significant P-values. Our observations support the notion that dense genotyping using the Omni5 can be powerful in detecting novel associated variants. Comparison with imputed data with higher density also suggests that imputation helps but cannot replace genotyping, especially when imputation quality is low.
机译:尽管新兴的测序技术可以表征所有遗传变异,但成本仍然很高。 Illumina发行了HumanOmni5M-4v1(Omni5)基因型阵列,与4.3M测定的SNP相似,与其他可用阵列相比密度更高。 Omni5平衡了成本和阵列密度。在本文中,我们说明了Omni5检测基因关联的功能。 Omni5包含的变体具有广泛的次要等位基因频率,低至<1%。理论上的功效计算示例表明,在评估与某些已知基因座的关联时,与其他具有较低密度的阵列相比,Omni5阵列的功效有所提高,但也有例外。在弗雷明汉心脏研究中,我们进一步评估了已知基因座与若干定量性状之间的遗传关联:股骨颈骨矿物质密度,腰椎骨矿物质密度和海马体积。最后,我们使用Omni5基因型在全基因组中搜索新的关联。我们比较了Affymetrix 500K + MIPS 50K阵列和两个估算数据集的关联结果:(1)HapMap II期和(2)1000个基因组参考面板。我们观察到使用Omni5基因型对选定的已知基因座具有较小P值的基因型-表型关联的证据增加。在有限的样本量下,我们确定了具有全基因组显着P值的新型变异。我们的观察结果支持以下观点:使用Omni5进行密集的基因分型可以有效检测新型相关变体。与具有较高密度的估算数据的比较还表明,估算虽然有帮助,但不能代替基因分型,尤其是在估算质量较低的情况下。

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