Zhao S, Macakova K, Sinson JC, Dai H, Rosenfeld J, Zapata GE, Li S, Ward PA, Wang C, Qu C, Maywald B; Undiagnosed Diseases Network; Lee B, Eng C, Liu P. (2025) Clinical validation of RNA sequencing for Mendelian disorder diagnostics. Am J Hum Genet [Epub ahead of print]. [article]
RNA sequencing has emerged as a powerful supplement to DNA sequencing for Mendelian disease diagnosis, but clinical translation of diagnostic RNA-seq has not been widely achieved. Researchers at Baylor College of Medicine’s Medical Genetics and Multiomics Laboratory published the clinical validation of the first RNA sequencing test for diagnostic whole-transcriptome analysis for genetic disorders. The findings, published in the American Journal of Human Genetics, establish a comprehensive transcriptome sequencing pipeline for clinical use, expanding the role of RNA sequencing beyond targeted analysis.
The RNA-seq test uses samples from fibroblasts or blood and analyzes for outliers in gene expression and splicing patterns. Researchers validated the test using 130 samples, including 40 samples with a positive molecular diagnosis and 90 negative samples from apparently healthy people for control. They developed benchmarks for expression and splicing using RNA-seq data from a lymphoblastoid sample in the publicly available Genome in a Bottle Consortium. The team established reference ranges for each gene based on control data.
To assess clinical performance, the team evaluated the test using samples with previously identified diagnostic findings from the Undiagnosed Diseases Network (UDN). The study confirmed the assay’s ability to detect diagnostic RNA findings through both transcriptome-driven and DNA-driven analysis modes, demonstrating its potential to enhance molecular diagnosis.
This test is the first launched by the MGML and now is being offered for clinical RNA sequencing in the UDN.
Source – Baylor College of Medicine
Zhao S, Macakova K, Sinson JC, Dai H, Rosenfeld J, Zapata GE, Li S, Ward PA, Wang C, Qu C, Maywald B; Undiagnosed Diseases Network; Lee B, Eng C, Liu P. (2025) Clinical validation of RNA sequencing for Mendelian disorder diagnostics. Am J Hum Genet [Epub ahead of print]. [article]
Related Posts
RNAmel simplifies RNA sequencing data analysis with a reproducible, integrated platform
Heart failure reshapes bone marrow to create inflammation-related immune memory
Overlooked DNA regions surrounding ‘microexons’ hold missing pieces of autism’s genetic puzzle
RiboBA improves detection of hidden protein-coding regions using ribosome profiling
An anti-senescence gene may fight spinal disc deterioration
Scientists identify the neuroblastoma cells that signal poor outcomes
Novel biosensor uses DNA ‘barcodes’ to uncover disease signals in cells
CellART extracts single-cell information from high-resolution spatial transcriptomics
Cell2space restores spatial context to single-cell RNA sequencing data
Urine test may improve bladder cancer diagnosis and guide treatment decisions
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
Tracing 700 million years of cell evolution
How should biological replicates be handled in long-read RNA sequencing?
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Long-read RNA sequencing reveals how neurons choose alternative RNA endings
DeOPUS improves cell-type estimates from bulk RNA sequencing
ResolVI improves accuracy in spatial transcriptomics analysis
RNA sequencing reveals transcriptional allele differences in prostate cancer stem cells
RNA sequencing has emerged as a powerful supplement to DNA sequencing for Mendelian disease diagnosis, but clinical translation of diagnostic RNA-seq has not been widely achieved. Researchers at Baylor College of Medicine’s Medical Genetics and Multiomics Laboratory published the clinical validation of the first RNA sequencing test for diagnostic whole-transcriptome analysis for genetic disorders. The findings, published in the American Journal of Human Genetics, establish a comprehensive transcriptome sequencing pipeline for clinical use, expanding the role of RNA sequencing beyond targeted analysis.
The RNA-seq test uses samples from fibroblasts or blood and analyzes for outliers in gene expression and splicing patterns. Researchers validated the test using 130 samples, including 40 samples with a positive molecular diagnosis and 90 negative samples from apparently healthy people for control. They developed benchmarks for expression and splicing using RNA-seq data from a lymphoblastoid sample in the publicly available Genome in a Bottle Consortium. The team established reference ranges for each gene based on control data.
To assess clinical performance, the team evaluated the test using samples with previously identified diagnostic findings from the Undiagnosed Diseases Network (UDN). The study confirmed the assay’s ability to detect diagnostic RNA findings through both transcriptome-driven and DNA-driven analysis modes, demonstrating its potential to enhance molecular diagnosis.
This test is the first launched by the MGML and now is being offered for clinical RNA sequencing in the UDN.
Source – Baylor College of Medicine
Zhao S, Macakova K, Sinson JC, Dai H, Rosenfeld J, Zapata GE, Li S, Ward PA, Wang C, Qu C, Maywald B; Undiagnosed Diseases Network; Lee B, Eng C, Liu P. (2025) Clinical validation of RNA sequencing for Mendelian disorder diagnostics. Am J Hum Genet [Epub ahead of print]. [article]
Related Posts
RNAmel simplifies RNA sequencing data analysis with a reproducible, integrated platform
Heart failure reshapes bone marrow to create inflammation-related immune memory
Overlooked DNA regions surrounding ‘microexons’ hold missing pieces of autism’s genetic puzzle
RiboBA improves detection of hidden protein-coding regions using ribosome profiling
An anti-senescence gene may fight spinal disc deterioration
Scientists identify the neuroblastoma cells that signal poor outcomes
Novel biosensor uses DNA ‘barcodes’ to uncover disease signals in cells
CellART extracts single-cell information from high-resolution spatial transcriptomics
Cell2space restores spatial context to single-cell RNA sequencing data
Urine test may improve bladder cancer diagnosis and guide treatment decisions
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
Tracing 700 million years of cell evolution
How should biological replicates be handled in long-read RNA sequencing?
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Long-read RNA sequencing reveals how neurons choose alternative RNA endings
DeOPUS improves cell-type estimates from bulk RNA sequencing
ResolVI improves accuracy in spatial transcriptomics analysis
RNA sequencing reveals transcriptional allele differences in prostate cancer stem cells
Stay Connected
Submit a Post to the Blog
Recent Posts
Subscribe to the RNA-Seq Blog
RNA-Seq Products & Services