Department of Molecular Medicine and Surgery and Center for Molecular Medicine, CMM L8:02, Karolinska Institutet, Karolinska University Hospital, Solna, S-171 76 Stockholm, Sweden.
Clin Genet. 2011 Feb;79(2):147-57. doi: 10.1111/j.1399-0004.2010.01442.x.
Microarray-based comparative genomic hybridization (array-CGH) enables genomewide investigation of copy-number changes at high resolution and has recently been implemented as a clinical diagnostic tool. In this study we evaluate the usefulness of high-resolution arrays as a diagnostic tool in our laboratory and investigate the diagnostic yield in the first 160 patients who were clinically referred for investigation of developmental delay (DD)/multiple congenital anomalies (MCA). During this period both 38K BAC-arrays and 244K oligonucleotide-arrays were used. Copy-number variations (CNVs) not previously reported as normal variants were detected in 22.5% of cases. In 13.1% the aberrations were considered causal to the phenotype and in 9.4% the clinical significance was uncertain. There was no difference in diagnostic yield between patients with mild, moderate or severe DD. Although the effective resolution of the 244K oligonucleotide-arrays was higher than the 38K BAC-array, the diagnostic yield of both platforms was approximately equal and no causal aberrations <300 kb were detected in this patient cohort. We experienced that increasing the resolution of a whole genome screen in the diagnostic setting has its drawback of detecting an increased number of CNVs with uncertain contribution to a phenotype. Based on our experiences, array-CGH is recommended as the first-step analysis in the genetic evaluation of patients with DD and/or MCA.
基于微阵列的比较基因组杂交(array-CGH)能够以高分辨率进行全基因组拷贝数变化的研究,最近已被用作临床诊断工具。在这项研究中,我们评估了高分辨率阵列作为我们实验室诊断工具的有用性,并研究了前 160 名因发育迟缓(DD)/多发先天畸形(MCA)而接受临床检查的患者的诊断效果。在此期间,同时使用了 38K BAC 阵列和 244K 寡核苷酸阵列。在 22.5%的病例中检测到了以前未报道为正常变异的拷贝数变异(CNVs)。在 13.1%的情况下,这些异常被认为与表型有关,而在 9.4%的情况下,其临床意义尚不确定。DD 严重程度不同的患者的诊断效果无差异。尽管 244K 寡核苷酸阵列的有效分辨率高于 38K BAC 阵列,但两种平台的诊断效果大致相同,在该患者队列中未发现 <300kb 的因果异常。我们发现,在诊断环境中提高全基因组筛查的分辨率有其缺点,即会检测到更多的 CNVs,其对表型的贡献不确定。基于我们的经验,array-CGH 被推荐作为 DD 和/或 MCA 患者遗传评估的第一步分析。