Departments of Medicine and Biochemistry, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
Robarts Research Institute, Western University, London, Ontario, Canada.
J Lipid Res. 2017 Nov;58(11):2202-2209. doi: 10.1194/jlr.D079301. Epub 2017 Sep 5.
Familial hypercholesterolemia (FH) is a heritable condition of severely elevated LDL cholesterol, caused predominantly by autosomal codominant mutations in the LDL receptor gene (). In providing a molecular diagnosis for FH, the current procedure often includes targeted next-generation sequencing (NGS) panels for the detection of small-scale DNA variants, followed by multiplex ligation-dependent probe amplification (MLPA) in for the detection of whole-exon copy number variants (CNVs). The latter is essential because ∼10% of FH cases are attributed to CNVs in ; accounting for them decreases false negative findings. Here, we determined the potential of replacing MLPA with bioinformatic analysis applied to NGS data, which uses depth-of-coverage analysis as its principal method to identify whole-exon CNV events. In analysis of 388 FH patient samples, there was 100% concordance in CNV detection between these two methods: 38 reported CNVs identified by MLPA were also successfully detected by our NGS method, while 350 samples negative for CNVs by MLPA were also negative by NGS. This result suggests that MLPA can be removed from the routine diagnostic screening for FH, significantly reducing associated costs, resources, and analysis time, while promoting more widespread assessment of this important class of mutations across diagnostic laboratories.
家族性高胆固醇血症(FH)是一种 LDL 胆固醇严重升高的遗传性疾病,主要由 LDL 受体基因()的常染色体共显性突变引起。在为 FH 提供分子诊断时,目前的程序通常包括针对小型 DNA 变体的靶向下一代测序(NGS)面板,以及用于检测整个外显子拷贝数变异(CNV)的多重连接依赖性探针扩增(MLPA)。后者是必不可少的,因为约 10%的 FH 病例归因于中的 CNVs;考虑到它们可以减少假阴性发现。在这里,我们确定了用应用于 NGS 数据的生物信息学分析替代 MLPA 的潜力,该分析使用覆盖深度分析作为其主要方法来识别整个外显子 CNV 事件。在对 388 个 FH 患者样本的分析中,这两种方法在 CNV 检测方面具有 100%的一致性:通过 MLPA 报告的 38 个 CNV 也被我们的 NGS 方法成功检测到,而通过 MLPA 检测为 CNV 阴性的 350 个样本也通过 NGS 检测为阴性。这一结果表明,可以从 FH 的常规诊断筛查中去除 MLPA,从而显著降低相关成本、资源和分析时间,同时促进更多诊断实验室对这一重要突变类别的广泛评估。