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Analysis of transcript-deleterious variants in Mendelian disorders: implications for RNA-based diagnostics
Sateesh Maddirevula1, Hiroyuki Kuwahara2, Nour Ewida1
1Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Genome Biology
|June 20, 2020
Summary
Transcript-deleterious variants (TDVs) explain a significant portion of undiagnosed Mendelian disorders after whole-exome sequencing. RNA sequencing analysis is crucial for diagnosing these cases, even when WES is negative.
Area of Science:
- Genomics
- Molecular Biology
- Medical Genetics
Background:
- Whole-exome sequencing (WES) fails to diagnose over 50% of suspected Mendelian disorders.
- The contribution of non-coding variants, unaddressed by WES, to this diagnostic gap is largely unknown.
- Large-scale empirical data on RNA analysis for Mendelian disease diagnosis are limited.
Purpose of the Study:
- To evaluate the diagnostic yield of transcript-deleterious variants (TDVs) in Mendelian diseases.
- To assess the utility of RNA sequencing as a supplement to WES.
- To determine the feasibility of RNA analysis in a clinical diagnostic setting.
Main Methods:
- Analysis of a cohort of 5647 families with suspected Mendelian diseases.
- Identification and characterization of TDVs.
- Comparison of RT-PCR results with in silico predictions for variant pathogenicity.
- RNA analysis using blood, skin fibroblast, and urine-derived RNA.
Main Results:
- TDVs contributed to 18.9% of Mendelian cases mapped to a single locus and 15% of all "solved" cases.
- RNA analysis successfully diagnosed 13.5% of patients with previously negative WES reports.
- RT-PCR provided definitive results for 84.1% of variants, with a low failure rate across all RNA sources (2.6%).
- TDVs may influence penetrance in highly penetrant Mendelian disorders.
Conclusions:
- RNA sequencing, particularly for TDVs, significantly enhances diagnostic yield in Mendelian disorders.
- RNA analysis is a viable and effective tool for clinical diagnosis, complementing WES.
- These findings provide essential empirical data for integrating diagnostic RNA sequencing with genome sequencing.
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