Long read sequencing enhances pathogenic and novel variation discovery in patients with rare diseases

With ongoing improvements in the detection of complex genomic and epigenomic variations, long-read sequencing (LRS) technologies could serve as a unified platform for clinical genetic testing, particularly in rare disease settings, where nearly half of patients remain undiagnosed using existing technologies. Here, we report a simplified funnel-down filtration strategy aimed at enhancing the identification of small and large deleterious variants as well as abnormal episignature disease profiles from whole-genome LRS data. This approach detected all pathogenic single nucleotide, structural, and methylation variants in a positive control set (N = 76) including an independent sample set with known methylation profiles (N = 57). When applied to patients who previously had negative short-read testing (N = 51), additional diagnoses were uncovered in 10% of cases, including a methylation profile at the spinal muscular atrophy locus utilized for diagnosing this life-threatening, yet treatable, condition. Our study illustrates the utility of LRS in clinical genetic testing and the discovery of novel disease variation.

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Publication Details

Journal
Nature Communications
Published
2025-03-14
DOI
https://doi.org/10.1038/s41467-025-57695-9
Citations
19
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
34.53

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Long read sequencing enhances pathogenic and novel variation discovery in patients with rare diseases

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Nature Communications
Genomics and Rare Diseases
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article

Long read sequencing enhances pathogenic and novel variation discovery in patients with rare diseases

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article en
19 citations

Abstract

With ongoing improvements in the detection of complex genomic and epigenomic variations, long-read sequencing (LRS) technologies could serve as a unified platform for clinical genetic testing, particularly in rare disease settings, where nearly half of patients remain undiagnosed using existing technologies. Here, we report a simplified funnel-down filtration strategy aimed at enhancing the identification of small and large deleterious variants as well as abnormal episignature disease profiles from whole-genome LRS data. This approach detected all pathogenic single nucleotide, structural, and methylation variants in a positive control set (N = 76) including an independent sample set with known methylation profiles (N = 57). When applied to patients who previously had negative short-read testing (N = 51), additional diagnoses were uncovered in 10% of cases, including a methylation profile at the spinal muscular atrophy locus utilized for diagnosing this life-threatening, yet treatable, condition. Our study illustrates the utility of LRS in clinical genetic testing and the discovery of novel disease variation.

Nature CommunicationsVol. 16(1)
Dubai Health Authority (AE), Mohammed Bin Rashid University of Medicine and Health Sciences (AE)
Oxford Nanopore Technologies
Zero hunger
Openalex Percentile: Top 0%
Genomics and Rare Diseases
34.53
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