An automatic and efficient pipeline for disease gene identification through utilizing family-based sequencing data

作者：Song Dandan; Li Ning; Liao Lejian^*

来源：Bio-medical Materials and Engineering, 2015, 26(s1): S1797-S1803.

DOI：10.3233/BME-151481

• Mendelian disorders
• disease gene identification
• whole-exome sequencing

Due to the generation of enormous amounts of data at both lower costs as well as in shorter times, whole-exome sequencing technologies provide dramatic opportunities for identifying disease genes implicated in Mendelian disorders. Since upwards of thousands genomic variants can be sequenced in each exome, it is challenging to filter pathogenic variants in protein coding regions and reduce the number of missing true variants. Therefore, an automatic and efficient pipeline for finding disease variants in Mendelian disorders is designed by exploiting a combination of variants filtering steps to analyze the family-based exome sequencing approach. Recent studies on the Freeman-Sheldon disease are revisited and show that the proposed method outperforms other existing candidate gene identification methods.

• 出版日期2015
• 单位北京理工大学