Thursday, December 22, 2011

Fwd: Identification of Sequence Variants in Genetic Disease-Causing Genes Using Targeted Next-Generation Sequencing

Fwd: please follow footer link
Identification of Sequence Variants in Genetic Disease-Causing Genes Using Targeted Next-Generation Sequencing:

by Xiaoming Wei, Xiangchun Ju, Xin Yi, Qian Zhu, Ning Qu, Tengfei Liu, Yang Chen, Hui Jiang, Guanghui Yang, Ruan Zhen, Zhangzhang Lan, Ming Qi, Jinming Wang, Yi Yang, Yuxing Chu, Xiaoyan Li, Yanfang Guang, Jian Huang


Background

Identification of gene variants plays an important role in research on and diagnosis of genetic diseases. A combination of enrichment of targeted genes and next-generation sequencing (targeted DNA-HiSeq) results in both high efficiency and low cost for targeted sequencing of genes of interest.


Methodology/Principal Findings

To identify mutations associated with genetic diseases, we designed an array-based gene chip to capture all of the exons of 193 genes involved in 103 genetic diseases. To evaluate this technology, we selected 7 samples from seven patients with six different genetic diseases resulting from six disease-causing genes and 100 samples from normal human adults as controls. The data obtained showed that on average, 99.14% of 3,382 exons with more than 30-fold coverage were successfully detected using Targeted DNA-HiSeq technology, and we found six known variants in four disease-causing genes and two novel mutations in two other disease-causing genes (the STS gene for XLI and the FBN1 gene for MFS) as well as one exon deletion mutation in the DMD gene. These results were confirmed in their entirety using either the Sanger sequencing method or real-time PCR.


Conclusions/Significance

Targeted DNA-HiSeq combines next-generation sequencing with the capture of sequences from a relevant subset of high-interest genes. This method was tested by capturing sequences from a DNA library through hybridization to oligonucleotide probes specific for genetic disorder-related genes and was found to show high selectivity, improve the detection of mutations, enabling the discovery of novel variants, and provide additional indel data. Thus, targeted DNA-HiSeq can be used to analyze the gene variant profiles of monogenic diseases with high sensitivity, fidelity, throughput and speed.



(Original Post: PLoS ONE Genetics and Genomics.)