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.
Authors
- Roudha Alfalasi
- Sathishkumar Ramaswamy (ORCID: https://orcid.org/0000-0002-7467-6658)
- Mohamed A. Almarri (ORCID: https://orcid.org/0000-0003-1255-0918)
- Mohammed J. Uddin (ORCID: https://orcid.org/0000-0001-6867-5803)
- Fatma Rabea
- Alawi Alsheikh‐Ali (ORCID: https://orcid.org/0000-0002-1213-4546)
- Ahmad Abou Tayoun (ORCID: https://orcid.org/0000-0002-9134-1673)
- Shruti Sinha (ORCID: https://orcid.org/0009-0008-5273-2920)
- Shruti Shenbagam (ORCID: https://orcid.org/0009-0000-1470-4875)
- Sawsan Yaslam
- Nour Halabi
- Maha El Naofal
- Stefan S. du Plessis (ORCID: https://orcid.org/0000-0003-4617-4367)
- Ikram Chekroun
- Ruchi Jain (ORCID: https://orcid.org/0000-0001-9395-1275)
- Alan Taylor (ORCID: https://orcid.org/0000-0002-7679-3073)
- Massomeh Sheikh Hassani
Institutions
- Dubai Health Authority (AE)
- Mohammed Bin Rashid University of Medicine and Health Sciences (AE)
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
Funders
- Oxford Nanopore Technologies