Format

Send to

Choose Destination
Sci Rep. 2018 Aug 3;8(1):11646. doi: 10.1038/s41598-018-30151-z.

Targeted next-generation sequencing as a comprehensive test for Mendelian diseases: a cohort diagnostic study.

Author information

1
Department of Biology, University of Copenhagen, Copenhagen, DK-2200, Denmark.
2
BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China.
3
BGI-Wuhan, BGI-Shenzhen, Wuhan, 430074, China.
4
Fuyang People's Hospital, Fuyang, 236000, China.
5
The Nephrology Division of Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
6
Eye Center, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430060, China.
7
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.
8
Eye Center, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430060, China. yinshen@whu.edu.cn.
9
BGI-Wuhan, BGI-Shenzhen, Wuhan, 430074, China. weixm@genomics.cn.

Abstract

With the development of next generation sequencing, more and more common inherited diseases have been reported. However, accurate and convenient molecular diagnosis cannot be achieved easily because of the enormous size of disease causing mutations. In this study, we introduced a new single-step method for the genetic analysis of patients and carriers in real clinical settings. All kinds of disease causing mutations can be detected at the same time in patients with Mendelian diseases or carriers. First, we evaluated this technology using YH cell line DNA and 9 samples with known mutations. Accuracy and stability of 99.80% and 99.58% were achieved respectively. Then, a total of 303 patients were tested using our targeted NGS approaches, 50.17% of which were found to have deleterious mutations and molecular confirmation of the clinical diagnosis. We identified 219 disease causing mutations, 43.84% (96/219) of which has never been reported before. Additionally, we developed a new deleteriousness prediction method for nonsynonymous SNVs, and an automating annotation and diagnosis system for Mendelian diseases, thus greatly assisting and enhancing Mendelian diseases diagnosis and helping to make a precise diagnosis for patients with Mendelian diseases.

Supplemental Content

Full text links

Icon for Nature Publishing Group Icon for PubMed Central
Loading ...
Support Center