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Diagnostic utility of transcriptome sequencing for rare Mendelian diseases.

Authors :
Lee, Hane
Lee, Hane
Huang, Alden Y
Wang, Lee-Kai
Yoon, Amanda J
Renteria, Genecee
Eskin, Ascia
Signer, Rebecca H
Dorrani, Naghmeh
Nieves-Rodriguez, Shirley
Wan, Jijun
Douine, Emilie D
Woods, Jeremy D
Dell'Angelica, Esteban C
Fogel, Brent L
Martin, Martin G
Butte, Manish J
Parker, Neil H
Wang, Richard T
Shieh, Perry B
Wong, Derek A
Gallant, Natalie
Singh, Kathryn E
Tavyev Asher, Y Jane
Sinsheimer, Janet S
Krakow, Deborah
Loo, Sandra K
Allard, Patrick
Papp, Jeanette C
Undiagnosed Diseases Network
Palmer, Christina GS
Martinez-Agosto, Julian A
Nelson, Stanley F
Lee, Hane
Lee, Hane
Huang, Alden Y
Wang, Lee-Kai
Yoon, Amanda J
Renteria, Genecee
Eskin, Ascia
Signer, Rebecca H
Dorrani, Naghmeh
Nieves-Rodriguez, Shirley
Wan, Jijun
Douine, Emilie D
Woods, Jeremy D
Dell'Angelica, Esteban C
Fogel, Brent L
Martin, Martin G
Butte, Manish J
Parker, Neil H
Wang, Richard T
Shieh, Perry B
Wong, Derek A
Gallant, Natalie
Singh, Kathryn E
Tavyev Asher, Y Jane
Sinsheimer, Janet S
Krakow, Deborah
Loo, Sandra K
Allard, Patrick
Papp, Jeanette C
Undiagnosed Diseases Network
Palmer, Christina GS
Martinez-Agosto, Julian A
Nelson, Stanley F
Source :
Genetics in medicine : official journal of the American College of Medical Genetics; vol 22, iss 3, 490-499; 1098-3600
Publication Year :
2020

Abstract

PurposeWe 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.MethodsFrom 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.ResultsThe 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.ConclusionIn 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

Database :
OAIster
Journal :
Genetics in medicine : official journal of the American College of Medical Genetics; vol 22, iss 3, 490-499; 1098-3600
Notes :
Genetics in medicine : official journal of the American College of Medical Genetics vol 22, iss 3, 490-499 1098-3600
Publication Type :
Electronic Resource
Accession number :
edsoai.on1287289191
Document Type :
Electronic Resource