Improved Diagnostic Yield in Recessive Intellectual Disability Utilizing Systematic Whole Exome Sequencing Data Reanalysis

外显子组测序 智力残疾 遗传学 外显子组 计算生物学 DNA测序 生物 医学 表型 基因
作者
Zohreh Fattahi,Ebrahim Shokouhian,Fatemeh Peymani,Mojgan Babanejad,Maryam Beheshtian,Masoud Edizadeh,Negar Molaei,Parnian Alagha,Fatemeh Ghodratpour,Fatemeh Keshavarzi,Masoumeh Goleyjani Moghadam,Sanaz Arzhangi,Kimia Kahrizi,Hossein Najmabadi
出处
期刊:Clinical Genetics [Wiley]
标识
DOI:10.1111/cge.14692
摘要

ABSTRACT Recent advances in next generation sequencing (NGS) have positioned whole exome sequencing (WES) as an efficient first‐tier method in genetic diagnosis. However, despite the diagnostic yield of 35%–50% in intellectual disability (ID) many patients still remain undiagnosed due to inherent limitations and bioinformatic short‐comings. In this study, we reanalyzed WES data from 159 Iranian families showing recessively inherited ID. The reanalysis was conducted with an initial clinical re‐evaluation of the patients and their families, followed by data reanalysis using two updated bioinformatic pipelines. In the first phase, the BWA‐GATK pipeline was utilized for alignment and variant calling, with subsequent variant annotation by the ANNOVAR tool. This approach yielded causative variants in 17 families (10.6%). Among these, six genes ( MAZ, ACTR5, AKTIP, MIX23, SERPINB12, and CDC25B ) were identified as novel candidates potentially associated with ID, supported by bioinformatics functional annotation and segregation analysis. In the second phase, families with negative results were reassessed using the Illumina DRAGEN Bio‐IT platform for variant‐calling, and Ilyome, a newly developed web‐based tool, for annotation. The second phase identified likely pathogenic variants in two additional families, increasing the total diagnostic yield to 11.9% which is consistent with other studies conducted on cohorts of patients with ID. In conclusion, identification of co‐segregating variants in six novel candidate genes in this study, emphasizes once more on the potential of WES reanalysis to uncover previously unknown gene‐disease associations. Notably, it demonstrates that systematic reanalysis of WES data using updated bioinformatic tools and a thorough review of the literature for new gene‐disease associations while performing phenotypic re‐evaluation, can improve diagnostic outcome of WES in recessively inherited ID. Consequently, if performed within a 1–3 year period, it can reduce the number of cases that may require other costly diagnostic methods such as whole genome sequencing.

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