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Updated: Nov 25, 2025
A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
Published on: June 15, 2011
Filtering de novo indels in parent-offspring trios
Yongzhuang Liu1, Jian Liu1, Yadong Wang2
1School of Computer Science and Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin, 150001, China.
Background:
Identification of de novo indels from whole genome or exome sequencing data of parent-offspring trios is a challenging task in human disease studies and clinical practices. Existing computational approaches usually yield high false positive rate.
Results:
In this study, we developed a gradient boosting approach for filtering de novo indels obtained by any computational approaches. Through application on the real genome sequencing data, our approach showed it could significantly reduce the false positive rate of de novo indels without a significant compromise on sensitivity.
Conclusions:
The software DNMFilter_Indel was written in a combination of Java and R and freely available from the website at https://github.com/yongzhuang/DNMFilter_Indel .
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