4.7 Article

Clinical implementation of RNA sequencing for Mendelian disease diagnostics

期刊

GENOME MEDICINE
卷 14, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s13073-022-01019-9

关键词

RNA-seq; Genetic diagnostics; Mendelian diseases

资金

  1. Projekt DEAL
  2. Bavarian State Ministry of Health and Care [DMB-1805-0002]
  3. German Bundesministerium fur Bildung und Forschung (BMBF) [01KU2016A]
  4. Medical Informatics Initiative CORD-MI (Collaboration on Rare Diseases)
  5. project MechML [01IS18053F]
  6. German Network for Mitochondrial Disorders (mitoNET) [01GM1113C]
  7. E-Rare project GENOMIT [01GM1207]
  8. DZHG (German Centre for Cardiovascular Research)
  9. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [NFDI 1/1]
  10. Bavaria California Technology Center
  11. Wellcome Centre for Mitochondrial Research [203105/Z/16/Z]
  12. Medical Research Council (MRC) International Centre for Genomic Medicine in Neuromuscular Disease [MR/S005021/1]
  13. Mitochondrial Disease Patient Cohort (UK) [G0800674]
  14. Lily Foundation
  15. UK NHS Specialised Commissioners
  16. National Institute for Health Research (NIHR) Post-Doctoral Fellowship [PDF-2018-11-ST2-021]
  17. Agency for Medical Research and Development (AMED) [JP20ek0109468, JP19ek0109273]
  18. Japan Society for the Promotion of Science (JSPS) [KAKENHI JP20H05519]
  19. Instituto de Salud Carlos III (European Regional Development Fund A way to make Europe) [PI16/01048, PI19/01310]
  20. Centro de Investigacion Biomedica en Red de Enfermedades Raras (CIBERER), an initiative of the Instituto de Salud Carlos III (Ministerio de Ciencia e Innovacion, Spain)
  21. Departament de Salut, Generalitat de Catalunya (URDCAT project) [SLT002/16/00174]
  22. CERCA Programme/Generalitat de Catalunya
  23. Common Fund of the Office of the Director of the National Institutes of Health
  24. NCI
  25. NHGRI
  26. NHLBI
  27. NIDA
  28. NIMH
  29. NINDS
  30. Agencia de Gestio d'Ajuts Universitaris i de Recerca (AGAUR) [2017: SGR 1428]
  31. National Institutes of Health Research (NIHR) [PDF-2018-11-ST2-021] Funding Source: National Institutes of Health Research (NIHR)

向作者/读者索取更多资源

The lack of functional evidence hampers variant interpretation, but further sequencing of transcriptomes can help probe gene expression defects. A streamlined experimental and computational process involving RNA-seq analysis of skin fibroblasts led to the establishment of genetic diagnoses for 16% of WES-inconclusive cases, with detection of aberrant gene expression playing a major role in diagnosis, especially in identifying splice-disrupting variants.
Background Lack of functional evidence hampers variant interpretation, leaving a large proportion of individuals with a suspected Mendelian disorder without genetic diagnosis after whole genome or whole exome sequencing (WES). Research studies advocate to further sequence transcriptomes to directly and systematically probe gene expression defects. However, collection of additional biopsies and establishment of lab workflows, analytical pipelines, and defined concepts in clinical interpretation of aberrant gene expression are still needed for adopting RNA sequencing (RNA-seq) in routine diagnostics. Methods We implemented an automated RNA-seq protocol and a computational workflow with which we analyzed skin fibroblasts of 303 individuals with a suspected mitochondrial disease that previously underwent WES. We also assessed through simulations how aberrant expression and mono-allelic expression tests depend on RNA-seq coverage. Results We detected on average 12,500 genes per sample including around 60% of all disease genes-a coverage substantially higher than with whole blood, supporting the use of skin biopsies. We prioritized genes demonstrating aberrant expression, aberrant splicing, or mono-allelic expression. The pipeline required less than 1 week from sample preparation to result reporting and provided a median of eight disease-associated genes per patient for inspection. A genetic diagnosis was established for 16% of the 205 WES-inconclusive cases. Detection of aberrant expression was a major contributor to diagnosis including instances of 50% reduction, which, together with mono-allelic expression, allowed for the diagnosis of dominant disorders caused by haploinsufficiency. Moreover, calling aberrant splicing and variants from RNA-seq data enabled detecting and validating splice-disrupting variants, of which the majority fell outside WES-covered regions. Conclusion Together, these results show that streamlined experimental and computational processes can accelerate the implementation of RNA-seq in routine diagnostics.

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