UBC Faculty Research and Publications

Comparison of genome-wide array genomic hybridization platforms for the detection of copy number variants in idiopathic mental retardation Tucker, Tracy; Montpetit, Alexandre; Chai, David; Chan, Susanna; Chénier, Sébastien; Coe, Bradley P; Delaney, Allen; Eydoux, Patrice; Lam, Wan L; Langlois, Sylvie; Lemyre, Emmanuelle; Marra, Marco; Qian, Hong; Rouleau, Guy A; Vincent, David; Michaud, Jacques L; Friedman, J. M. (Jan Marshall), 1947-

Abstract

Background: Clinical laboratories are adopting array genomic hybridization as a standard clinical test. A number of whole genome array genomic hybridization platforms are available, but little is known about their comparative performance in a clinical context. Methods: We studied 30 children with idiopathic MR and both unaffected parents of each child using Affymetrix 500 K GeneChip SNP arrays, Agilent Human Genome 244 K oligonucleotide arrays and NimbleGen 385 K Whole-Genome oligonucleotide arrays. We also determined whether CNVs called on these platforms were detected by Illumina Hap550 beadchips or SMRT 32 K BAC whole genome tiling arrays and tested 15 of the 30 trios on Affymetrix 6.0 SNP arrays. Results: The Affymetrix 500 K, Agilent and NimbleGen platforms identified 3061 autosomal and 117 X chromosomal CNVs in the 30 trios. 147 of these CNVs appeared to be de novo, but only 34 (22%) were found on more than one platform. Performing genotype-phenotype correlations, we identified 7 most likely pathogenic and 2 possibly pathogenic CNVs for MR. All 9 of these putatively pathogenic CNVs were detected by the Affymetrix 500 K, Agilent, NimbleGen and the Illumina arrays, and 5 were found by the SMRT BAC array. Both putatively pathogenic CNVs identified in the 15 trios tested with the Affymetrix 6.0 were identified by this platform. Conclusions: Our findings demonstrate that different results are obtained with different platforms and illustrate the trade-off that exists between sensitivity and specificity. The large number of apparently false positive CNV calls on each of the platforms supports the need for validating clinically important findings with a different technology.

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Attribution 4.0 International (CC BY 4.0)