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.

Highlights

  • Mendelian diseases are a series of diseases following the principles of Mendelian inheritance

  • It has been proved that next generation sequencing (NGS) based technology is a powerful tool for the detection of pathogenic mutations, especially in patients with monogenic disorders[2]

  • We developed a new deleteriousness prediction method for nonsynonymous SNVs, and an automating annotation and diagnosis system for Mendelian diseases

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Summary

Introduction

Mendelian diseases are a series of diseases following the principles of Mendelian inheritance. Targeted NGS with high throughput and lower cost can target disease related regions in human genome more efficiently, and detect variants more sensitively This technology has been widely used in the screening of mutations and effective diagnosis of genetic diseases in clinical setting[11,12,13,14]. We designed a chip (array based) containing 4,689 nuclear genes related to Mendelian diseases, and tested its performance in detecting clinical relevant mutations using HiSeq platform. We applied this panel to 303 clinical cases, and identified disease causing mutations in 152 patients. It can greatly assist and enhance Mendelian diseases diagnosis and help to make a precise diagnosis for the patients

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