Assessing the diagnostic impact of blood transcriptome profiling in a pediatric cohort previously assessed by genome sequencing

Despite advances in genome sequencing, many individuals with rare genetic disorders remain undiagnosed. Transcriptional profiling via RNA-seq can reveal functional impacts of DNA variants and improve diagnosis. We assessed blood-derived RNA-seq in the largely undiagnosed SickKids Genome Clinic cohort (n = 134), which has been subjected to multiple analyses benchmarking the utility of genome sequencing. Our RNA-centric analysis identifies gene expression outliers, aberrant splicing, and allele-specific expression. In one-third of diagnosed individuals (20/61), RNA-seq reinforced DNA-based findings. In 2/61 cases, RNA-seq revised diagnoses (EPG5 to LZTR1 in an individual with a Noonan syndrome-like disorder) and discovered an additional relevant gene (CEP120 in addition to SON in an individual with ZTTK syndrome). Additionally, ~7% (5/73) of undiagnosed cases had at least one plausible candidate gene identified. This study highlights both the benefits and limitations of whole-blood RNA profiling in refining genetic diagnoses and uncovering novel disease mechanisms.

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Publication Details

Journal
npj Genomic Medicine
Published
2025-07-01
DOI
https://doi.org/10.1038/s41525-025-00505-4
Citations
2
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
3.63

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article

Assessing the diagnostic impact of blood transcriptome profiling in a pediatric cohort previously assessed by genome sequencing

Huayun Hou, Michael Brudno, Alper Çelik, Roberto Mendoza‐Londono et al.
2 citations
npj Genomic Medicine
Genomics and Rare Diseases
3.63
article

Assessing the diagnostic impact of blood transcriptome profiling in a pediatric cohort previously assessed by genome sequencing

Huayun Hou, Michael Brudno, Alper Çelik, Roberto Mendoza‐Londono, M. Stephen Meyn, Dimitri J. Stavropoulos, Meagan Gloven-Brown, Michael Braga, Lianna Kyriakopoulou, Michael D. Wilson, Kyoko E. Yuki, Stephen W. Scherer, Gregory Costain, Sean Barnes, Anna Szuto, Christian R. Marshall, Adam Shlien, Arun Ramani, Sarah Bowdin, Ronald D. Cohn, James J. Dowling
article en
2 citations

Abstract

Despite advances in genome sequencing, many individuals with rare genetic disorders remain undiagnosed. Transcriptional profiling via RNA-seq can reveal functional impacts of DNA variants and improve diagnosis. We assessed blood-derived RNA-seq in the largely undiagnosed SickKids Genome Clinic cohort (n = 134), which has been subjected to multiple analyses benchmarking the utility of genome sequencing. Our RNA-centric analysis identifies gene expression outliers, aberrant splicing, and allele-specific expression. In one-third of diagnosed individuals (20/61), RNA-seq reinforced DNA-based findings. In 2/61 cases, RNA-seq revised diagnoses (EPG5 to LZTR1 in an individual with a Noonan syndrome-like disorder) and discovered an additional relevant gene (CEP120 in addition to SON in an individual with ZTTK syndrome). Additionally, ~7% (5/73) of undiagnosed cases had at least one plausible candidate gene identified. This study highlights both the benefits and limitations of whole-blood RNA profiling in refining genetic diagnoses and uncovering novel disease mechanisms.

npj Genomic MedicineVol. 10(1)
University Health Network (CA), University of Wisconsin–Madison (US), University of Toronto (CA), Hospital for Sick Children (CA), Cambridge University Hospitals NHS Foundation Trust (GB), Vector Institute (CA), SickKids Foundation (CA)
Genome Canada, Hospital for Sick Children
Openalex Percentile: Top 7%
Genomics and Rare Diseases
3.63
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