Alvarado David M, Yang Ping, Druley Todd E, Lovett Michael, Gurnett Christina A
Department of Orthopaedic Surgery, Washington University School of Medicine, 660 S Euclid Ave., St Louis, MO 63110, USA.
Department of Pediatrics, Washington University School of Medicine, 660 S Euclid Ave., St Louis, MO 63110, USA Department of Genetics, Washington University School of Medicine, 660 S Euclid Ave., St Louis, MO 63110, USA.
Nucleic Acids Res. 2014 Jun;42(10):e82. doi: 10.1093/nar/gku218. Epub 2014 Mar 20.
Despite declining sequencing costs, few methods are available for cost-effective single-nucleotide polymorphism (SNP), insertion/deletion (INDEL) and copy number variation (CNV) discovery in a single assay. Commercially available methods require a high investment to a specific region and are only cost-effective for large samples. Here, we introduce a novel, flexible approach for multiplexed targeted sequencing and CNV analysis of large genomic regions called multiplexed direct genomic selection (MDiGS). MDiGS combines biotinylated bacterial artificial chromosome (BAC) capture and multiplexed pooled capture for SNP/INDEL and CNV detection of 96 multiplexed samples on a single MiSeq run. MDiGS is advantageous over other methods for CNV detection because pooled sample capture and hybridization to large contiguous BAC baits reduces sample and probe hybridization variability inherent in other methods. We performed MDiGS capture for three chromosomal regions consisting of ∼ 550 kb of coding and non-coding sequence with DNA from 253 patients with congenital lower limb disorders. PITX1 nonsense and HOXC11 S191F missense mutations were identified that segregate in clubfoot families. Using a novel pooled-capture reference strategy, we identified recurrent chromosome chr17q23.1q23.2 duplications and small HOXC 5' cluster deletions (51 kb and 12 kb). Given the current interest in coding and non-coding variants in human disease, MDiGS fulfills a niche for comprehensive and low-cost evaluation of CNVs, coding, and non-coding variants across candidate regions of interest.
尽管测序成本不断下降,但在单一检测中,用于经济高效地发现单核苷酸多态性(SNP)、插入/缺失(INDEL)和拷贝数变异(CNV)的方法却很少。市售方法需要对特定区域进行高额投资,并且仅对大样本具有成本效益。在此,我们介绍一种名为多重直接基因组选择(MDiGS)的新型灵活方法,用于对大型基因组区域进行多重靶向测序和CNV分析。MDiGS结合了生物素化细菌人工染色体(BAC)捕获和多重混合捕获,可在单次MiSeq运行中对96个多重样本进行SNP/INDEL和CNV检测。MDiGS在CNV检测方面优于其他方法,因为混合样本捕获以及与大型连续BAC诱饵的杂交减少了其他方法中固有的样本和探针杂交变异性。我们对三个染色体区域进行了MDiGS捕获,这些区域由约550 kb的编码和非编码序列组成,使用了253例先天性下肢疾病患者的DNA。在马蹄内翻足家族中鉴定出了PITX1无义突变和HOXC11 S191F错义突变。使用一种新型的混合捕获参考策略,我们鉴定出了复发性染色体chr17q23.1q23.2重复以及小的HOXC 5'簇缺失(51 kb和12 kb)。鉴于当前对人类疾病中编码和非编码变异的关注,MDiGS满足了对感兴趣的候选区域中的CNV、编码和非编码变异进行全面且低成本评估的需求。