Huang Xiu-Feng, Wu Juan, Lv Ji-Neng, Zhang Xiao, Jin Zi-Bing
1] Division of Ophthalmic Genetics, Laboratory for Stem Cell and Retinal Regeneration, The Eye Hospital of Wenzhou Medical University, Wenzhou, China [2] The State Key Laboratory Cultivation Base and Key Laboratory of Vision Science, Ministry of Health, Wenzhou, China.
Genet Med. 2015 Apr;17(4):307-11. doi: 10.1038/gim.2014.193. Epub 2015 Jan 8.
Retinitis pigmentosa (RP) is a major cause of heritable human blindness with extreme genetic heterogeneity. A large number of causative genes have been defined by next-generation sequencing (NGS). However, due to technical limitations, determining the existence of uncovered or low-depth regions is a fundamental challenge in analyzing NGS data. Therefore, undetected mutations may exist in genomic regions less effectively covered by NGS.
To address this problem, we tested a complementary approach for identifying previously undetected mutations in NGS data sets. The strategy consisted of coverage-based analysis and additional target screening of low-depth regions. Fifty RP patients were analyzed, and none of the mutations found had previously been identified by NGS.
Coverage-based analysis indicated that, because of a highly repetitive sequence, the RPGR open reading frame (ORF)15 was located in an uncovered or low-depth region. Through additional screening of ORF15, we identified pathogenic mutations in 14% (7/50) of patients, including four novel mutations first described herein.
In brief, we support the need for a complementary approach to identify mutations undetected by NGS, underscoring the power and significance of combining coverage-based analysis with additional target screening of low-depth regions in improving diagnosis of genetic diseases. In addition to its usefulness in RP, this approach is likely applicable to other Mendelian diseases.
视网膜色素变性(RP)是导致人类遗传性失明的主要原因,具有高度的遗传异质性。下一代测序(NGS)已确定了大量致病基因。然而,由于技术限制,在分析NGS数据时,确定未覆盖或低深度区域的存在是一项基本挑战。因此,在NGS覆盖效果较差的基因组区域可能存在未检测到的突变。
为解决这一问题,我们测试了一种用于识别NGS数据集中先前未检测到的突变的补充方法。该策略包括基于覆盖度的分析和对低深度区域的额外靶向筛选。对50例RP患者进行了分析,所发现的突变均未被NGS先前鉴定过。
基于覆盖度的分析表明,由于高度重复序列,RPGR开放阅读框(ORF)15位于未覆盖或低深度区域。通过对ORF15的额外筛选,我们在14%(7/50)的患者中鉴定出致病突变,包括本文首次描述的四个新突变。
简而言之,我们支持采用补充方法来识别NGS未检测到的突变,强调了将基于覆盖度的分析与对低深度区域的额外靶向筛选相结合在改善遗传病诊断方面的作用和意义。除了在RP中的实用性外,这种方法可能也适用于其他孟德尔疾病。