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Diagnostic utility of transcriptome sequencing for rare Mendelian diseases.

Authors :
Lee H
Huang AY
Wang LK
Yoon AJ
Renteria G
Eskin A
Signer RH
Dorrani N
Nieves-Rodriguez S
Wan J
Douine ED
Woods JD
Dell'Angelica EC
Fogel BL
Martin MG
Butte MJ
Parker NH
Wang RT
Shieh PB
Wong DA
Gallant N
Singh KE
Tavyev Asher YJ
Sinsheimer JS
Krakow D
Loo SK
Allard P
Papp JC
Palmer CGS
Martinez-Agosto JA
Nelson SF
Source :
Genetics in medicine : official journal of the American College of Medical Genetics [Genet Med] 2020 Mar; Vol. 22 (3), pp. 490-499. Date of Electronic Publication: 2019 Oct 14.
Publication Year :
2020

Abstract

Purpose: We investigated the value of transcriptome sequencing (RNAseq) in ascertaining the consequence of DNA variants on RNA transcripts to improve the diagnostic rate from exome or genome sequencing for undiagnosed Mendelian diseases spanning a wide spectrum of clinical indications.<br />Methods: From 234 subjects referred to the Undiagnosed Diseases Network, University of California-Los Angeles clinical site between July 2014 and August 2018, 113 were enrolled for high likelihood of having rare undiagnosed, suspected genetic conditions despite thorough prior clinical evaluation. Exome or genome sequencing and RNAseq were performed, and RNAseq data was integrated with genome sequencing data for DNA variant interpretation genome-wide.<br />Results: The molecular diagnostic rate by exome or genome sequencing was 31%. Integration of RNAseq with genome sequencing resulted in an additional seven cases with clear diagnosis of a known genetic disease. Thus, the overall molecular diagnostic rate was 38%, and 18% of all genetic diagnoses returned required RNAseq to determine variant causality.<br />Conclusion: In this rare disease cohort with a wide spectrum of undiagnosed, suspected genetic conditions, RNAseq analysis increased the molecular diagnostic rate above that possible with genome sequencing analysis alone even without availability of the most appropriate tissue type to assess.

Details

Language :
English
ISSN :
1530-0366
Volume :
22
Issue :
3
Database :
MEDLINE
Journal :
Genetics in medicine : official journal of the American College of Medical Genetics
Publication Type :
Academic Journal
Accession number :
31607746
Full Text :
https://doi.org/10.1038/s41436-019-0672-1