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High-resolution SNP arrays in mental retardation diagnostics: how much do we gain?

机译:智力低下诊断中的高分辨率SNP阵列:我们可以获得多少?

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We used Affymetrix 6.0 GeneChip SNP arrays to characterize copy number variations (CNVs) in a cohort of 70 patients previously characterized on lower-density oligonucleotide arrays affected by idiopathic mental retardation and dysmorphic features. The SNP array platform includes approximately 900,000 SNP probes and 900,000 non-SNP oligonucleotide probes at an average distance of 0.7 Kb, which facilitates coverage of the whole genome, including coding and noncoding regions. The high density of probes is critical for detecting small CNVs, but it can lead to data interpretation problems. To reduce the number of false positives, parameters were set to consider only imbalances >75 Kb encompassing at least 80 probe sets. The higher resolution of the SNP array platform confirmed the increased ability to detect small CNVs, although more than 80% of these CNVs overlapped to copy number 'neutral' polymorphism regions and 4.4% of them did not contain known genes. In our cohort of 70 patients, of the 51 previously evaluated as 'normal' on the Agilent 44K array, the SNP array platform disclosed six additional CNV changes, including three in three patients, which may be pathogenic. This suggests that about 6% of individuals classified as 'normal' using the lower-density oligonucleotide array could be found to be affected by a genomic disorder when evaluated with the higher-density microarray platforms.
机译:我们使用Affymetrix 6.0 GeneChip SNP阵列表征了70名患者的拷贝数变异(CNV),这些患者先前曾以低密度寡核苷酸阵列为特征,这些阵列受特发性智力低下和畸形特征的影响。 SNP阵列平台包括大约900,000个SNP探针和900,000个非SNP寡核苷酸探针,平均距离为0.7 Kb,这有助于覆盖整个基因组,包括编码区和非编码区。探针的高密度对于检测小型CNV至关重要,但是会导致数据解释问题。为了减少假阳性的数量,设置参数时要考虑仅包括至少80个探针组的> 75 Kb的不平衡。 SNP阵列平台的更高分辨率确认了检测小型CNV的能力增强,尽管这些CNV中有80%以上重叠以复制多个“中性”多态性区域,其中4.4%不包含已知基因。在我们的70位患者队列中,在先前在Agilent 44K阵列上被评估为“正常”的51位患者中,SNP阵列平台揭示了另外六个CNV变化,包括三分之三的可能是致病性的。这表明当用高密度微阵列平台评估时,使用低密度寡核苷酸阵列被归类为“正常”的个体中约有6%被发现受到基因组疾病的影响。

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