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

dc.contributor.authorRabea, Fatma
dc.contributor.authorChekroun, Ikram
dc.contributor.authorUddin, Mohammed
dc.contributor.authorAlmarri, Mohamed A
dc.contributor.authorPlessis, Stefan Du
dc.contributor.authorAlsheikh-Ali, Alawi
dc.contributor.authorTayoun, Ahmad Abou
dc.date.accessioned2025-10-01T08:53:15Z
dc.date.available2025-10-01T08:53:15Z
dc.date.issued2025-03-14
dc.description.abstractWith 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.
dc.identifier.doi10.1038/s41467-025-57695-9
dc.identifier.issn2041-1723
dc.identifier.urihttps://repository.mbru.ac.ae/handle/1/1785
dc.publisherSpringer Science and Business Media LLC
dc.relation.ispartofNature Communications
dc.subjectLong read sequencing
dc.subjectpatients
dc.subjectrare diseases
dc.titleLong read sequencing enhances pathogenic and novel variation discovery in patients with rare diseases
dc.typejournal-article
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume16

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