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Increased diagnostic yield by reanalysis of data from a hearing loss gene panel.

Yu Sun | Jiale Xiang | Yidong Liu | Sen Chen | Jintao Yu | Jiguang Peng | Zijing Liu | Lisha Chen | Jun Sun | Yun Yang | Yaping Yang | Yulin Zhou | Zhiyu Peng
BMC medical genomics | 2019

Congenital hearing loss affects approximately 1-2 infants out of every 1000, with 50% of the cases resulting from genetic factors. Targeted gene panels have been widely used for genetic diagnosis of hearing loss. This study aims to reveal new diagnoses via reanalyzing historical data of a multigene panel, and exam the reasons for new diagnoses.

Pubmed ID: 31138263

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This is a list of tools and resources that we have found mentioned in this publication.


GATK (tool)

RRID:SCR_001876

A software package to analyze next-generation resequencing data. The toolkit offers a wide variety of tools, with a primary focus on variant discovery and genotyping as well as strong emphasis on data quality assurance. Its robust architecture, powerful processing engine and high-performance computing features make it capable of taking on projects of any size. This software library makes writing efficient analysis tools using next-generation sequencing data very easy, and second it's a suite of tools for working with human medical resequencing projects such as 1000 Genomes and The Cancer Genome Atlas. These tools include things like a depth of coverage analyzers, a quality score recalibrator, a SNP/indel caller and a local realigner. (entry from Genetic Analysis Software)

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Condel (tool)

RRID:SCR_008584

A method to assess the outcome of nonsynonymous SNVs using a consensus deleteriousness score that combines various tools (e.g. SIFT, Polyphen2, MutationAssessor).

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