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Whole-Transcriptome Analysis by Rna Sequencing for Genetic Diagnosis of Mendelian Skin Disorders in the Context of Consanguinity Publisher Pubmed



Youssefian L1, 2, 3 ; Saeidian AH1, 2, 3 ; Palizban F4 ; Bagherieh A5 ; Abdollahimajd F6 ; Sotoudeh S7 ; Mozafari N6 ; Farahani RA8 ; Mahmoudi H9 ; Babashah S5 ; Zabihi M10 ; Zeinali S10 ; Fortina P11, 12 ; Salasalanis JC13 Show All Authors
Authors
  1. Youssefian L1, 2, 3
  2. Saeidian AH1, 2, 3
  3. Palizban F4
  4. Bagherieh A5
  5. Abdollahimajd F6
  6. Sotoudeh S7
  7. Mozafari N6
  8. Farahani RA8
  9. Mahmoudi H9
  10. Babashah S5
  11. Zabihi M10
  12. Zeinali S10
  13. Fortina P11, 12
  14. Salasalanis JC13
  15. South AP2
  16. Vahidnezhad H1, 2
  17. Uitto J1, 2

Source: Clinical Chemistry Published:2021


Abstract

Background: Among the approximately 8000 Mendelian disorders, >1000 have cutaneous manifestations. In many of these conditions, the underlying mutated genes have been identified by DNA-based techniques which, however, can overlook certain types of mutations, such as exonic-synonymous and deep-intronic sequence variants. Whole-transcriptome sequencing by RNA sequencing (RNA-seq) can identify such mutations and provide information about their consequences. Methods: We analyzed the whole transcriptome of 40 families with different types of Mendelian skin disorders with extensive genetic heterogeneity. The RNA-seq data were examined for variant detection and prioritization, pathogenicity confirmation, RNA expression profiling, and genome-wide homozygosity mapping in the case of consanguineous families. Among the families examined, RNA-seq was able to provide information complementary to DNA-based analyses for exonic and intronic sequence variants with aberrant splicing. In addition, we tested the possibility of using RNA-seq as the first-tier strategy for unbiased genome-wide mutation screening without information from DNA analysis. Results: We found pathogenic mutations in 35 families (88%) with RNA-seq in combination with other next-generation sequencing methods, and we successfully prioritized variants and found the culprit genes. In addition, as a novel concept, we propose a pipeline that increases the yield of variant calling from RNA-seq by concurrent use of genome and transcriptome references in parallel. Conclusions: Our results suggest that clinical RNA-seqcould serve as a primary approach for mutation detection in inherited diseases, particularly in consanguineous families, provided that tissues and cells expressing the relevant genes are available for analysis. © 2021 American Association for Clinical Chemistry. All rights reserved.
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