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Applying National Whole-genome Sequencing Findings for Rare Diseases in Clinical Practice: The Imperative of a Multidisciplinary Approach

  • Kyung Sun Park (Department of Laboratory Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine) ;
  • Sunghwan Shin (Department of Laboratory Medicine, Inje University Ilsan Paik Hospital) ;
  • Jong-Ho Park (Precision Medicine Center, Seoul National University Bundang Hospital) ;
  • Young-Eun Kim (Department of Laboratory Medicine, College of Medicine, Hanyang University) ;
  • Won Kyung Kwon (U2 Medical Foundation) ;
  • Min-Kyung So (Department of Laboratory Medicine, Ewha Womans University College of Medicine) ;
  • Changhee Ha (Department of Laboratory Medicine, Konkuk University Medical Center, Konkuk University School of Medicine) ;
  • Ja-Hyun Jang (Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine) ;
  • Taeheon Lee (GC Genome) ;
  • Chang-Seok Ki (GC Genome) ;
  • Yoonjung Kim (Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine) ;
  • Kyung-A Lee (Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine) ;
  • Inho Park (Department of Pathology, Gangnam Severance Hospital, Yonsei University College of Medicine) ;
  • Sejoon Lee (Precision Medicine Center, Seoul National University Bundang Hospital) ;
  • Hong-Hee Won (Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center) ;
  • Genetic Testing Specialists Consortium (Genetic Testing Specialists Consortium) ;
  • Jong-Won Kim (Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine)
  • Received : 2025.02.26
  • Accepted : 2025.08.13
  • Published : 2026.01.01

Abstract

Background: As nationwide government-led whole-genome sequencing (WGS) projects progress, optimizing the clinical integration of large-scale WGS results is crucial. We explored how the initial analysis from Korea's First WGS Pilot Study for Rare Diseases was applied in clinical practice, and then we reanalyzed the data comprehensively at Samsung Medical Center (SMC) Seoul, Korea. Methods: A prospective cohort study designed to collect WGS data under a Korean national initiative was conducted from August 2020 to December 2021. We focused on patients with rare diseases recruited from 16 university hospitals. The participants included 5,000 individuals (2,200 probands and 2,800 family members). The initial WGS data and diagnostic reference reports (from 682 probands and 484 family members), generated based on the First Korean WGS Pilot Study for Rare Diseases, were subsequently reanalyzed by SMC. Results: The initial analysis of the First Korean WGS Pilot Study data revealed a diagnostic rate of 17%. Upon receiving these results, the SMC conducted two rounds of reanalysis, increasing the diagnostic rate from 15% in the first analysis, to 18% in the second, and finally to 24% in the third (P =1.6×10-5). Key factors in improving the genetic diagnosis included increased detection of novel (likely) pathogenic variants (P =1.0×10-4), improved diagnostic rates with larger family recruitment (P =0.004), and refined clinical information for more precise genotype-phenotype correlation analysis (40%). Conclusions: Although national WGS projects lay a foundation for rare disease diagnosis, hospital-level reanalysis and multidisciplinary collaborations are crucial for optimizing diagnostic outcomes.

Keywords

Acknowledgement

The authors thank all experts who participated in the GTSC.

References

  1. Chung CCY, Hue SPY, Ng NYT, Doong PHL, Hong Kong Genome Project, Chu ATW, et al. Meta-analysis of the diagnostic and clinical utility of exome and genome sequencing in pediatric and adult patients with rare diseases across diverse populations. Genet Med 2023;25:100896.
  2. Wright CF, FitzPatrick DR, Firth HV. Paediatric genomics: diagnosing rare disease in children. Nat Rev Genet 2018;19:253–68. https://doi.org/10.1038/nrg.2017.116
  3. Lionel AC, Costain G, Monfared N, Walker S, Reuter MS, Hosseini SM, et al. Improved diagnostic yield compared with targeted gene sequencing panels suggests a role for whole-genome sequencing as a first-tier genetic test. Genet Med 2018;20:435–43. https://doi.org/10.1038/gim.2017.119
  4. Schobers G, Derks R, den Ouden A, Swinkels H, van Reeuwijk J, Bosgoed E, et al. Genome sequencing as a generic diagnostic strategy for rare disease. Genome Med 2024;16:32. https://doi.org/10.1186/s13073-024-01301-y
  5. Hayeems RZ, Dimmock D, Bick D, Belmont JW, Green RC, Lanpher B, et al. Clinical utility of genomic sequencing: a measurement toolkit. NPJ Genom Med 2020;5:56. https://doi.org/10.1038/s41525-020-00164-7
  6. Marshall CR, Bick D, Belmont JW, Taylor SL, Ashley E, Dimmock D, et al. The Medical Genome Initiative: moving whole-genome sequencing for rare disease diagnosis to the clinic. Genome Med 2020;12:48. https://doi.org/10.1186/s13073-020-00748-z
  7. Stark Z, Dolman L, Manolio TA, Ozenberger B, Hill SL, Caulfied MJ, et al. Integrating genomics into healthcare: a global responsibility. Am J Hum Genet 2019;104:13–20. https://doi.org/10.1016/j.ajhg.2018.11.014
  8. All of Us Research Program Genomics Investigators. Genomic data in the All of Us Research Program. Nature 2024;627:340–6.
  9. 100,000 Genomes Project Pilot Investigators, Smedley D, Smith KR, Martin A, Thomas EA, McDonagh EM, et al. 100,000 Genomes pilot on rare-disease diagnosis in health care — preliminary report. N Engl J Med 2021;385:1868–80. https://doi.org/10.1056/NEJMoa2035790
  10. Turro E, Astle WJ, Megy K, Gräf S, Greene D, Shamardina O, et al. Whole-genome sequencing of patients with rare diseases in a national health system. Nature 2020;583:96–102. https://doi.org/10.1038/s41586-020-2434-2
  11. Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med 2015;17:405–24. https://doi.org/10.1038/gim.2015.30
  12. Shin S, Lee J, Kim YG, Ha C, Park JH, Kim JW, et al. Genetic diagnosis of children with neurodevelopmental disorders using whole genome sequencing. Pediatr Neurol 2023;149:44–52. https://doi.org/10.1016/j.pediatrneurol.2023.09.003
  13. Kim YG, Kwon H, Park JH, Nam SH, Ha C, Shin S, et al. Whole-genome sequencing in clinically diagnosed Charcot–Marie–Tooth disease undiagnosed by whole-exome sequencing. Brain Commun 2023;5:fcad139.
  14. Ha C, Kim D, Bak M, Park JH, Kim YG, Jang JH, et al. CRYAB stop-loss variant causes rare syndromic dilated cardiomyopathy with congenital cataract: expanding the phenotypic and mutational spectrum of alpha-B crystallinopathy. J Hum Genet 2024;69:159–62. https://doi.org/10.1038/s10038-023-01218-1
  15. Köhler S, Carmody L, Vasilevsky N, Jacobsen JOB, Danis D, Gourdine JP, et al. Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources. Nucleic Acids Res 2019;47:D1018–27. https://doi.org/10.1093/nar/gky1105
  16. Köhler S, Gargano M, Matentzoglu N, Carmody LC, Lewis-Smith D, Vasilevsky NA, et al. The Human Phenotype Ontology in 2021. Nucleic Acids Res 2021;49:D1207–17. https://doi.org/10.1093/nar/gkaa1043
  17. Smedley D, Jacobsen JO, Jäger M, Köhler S, Holtgrewe M, Schubach M, et al. Next-generation diagnostics and disease-gene discovery with the Exomiser. Nat Protoc 2015;10:2004–15. https://doi.org/10.1038/nprot.2015.124
  18. Taylor JC, Martin HC, Lise S, Broxholme J, Cazier JB, Rimmer A, et al. Factors influencing success of clinical genome sequencing across a broad spectrum of disorders. Nat Genet 2015;47:717–26. https://doi.org/10.1038/ng.3304
  19. Thompson R, Papakonstantinou Ntalis A, Beltran S, Töpf A, de Paula Estephan E, Polavarapu K, et al. Increasing phenotypic annotation improves the diagnostic rate of exome sequencing in a rare neuromuscular disorder. Hum Mutat 2019;40:1797–812. https://doi.org/10.1002/humu.v40.10
  20. Macken WL, Falabella M, McKittrick C, Pizzamiglio C, Ellmers R, Eggleton K, et al. Specialist multidisciplinary input maximises rare disease diagnoses from whole genome sequencing. Nat Commun 2022;13:6324. https://doi.org/10.1038/s41467-022-32908-7
  21. Chen E, Facio FM, Aradhya KW, Rojahn S, Hatchell KE, Aguilar S, et al. Rates and classification of variants of uncertain significance in hereditary disease genetic testing. JAMA Netw Open 2023;6:e2339571. https://doi.org/10.1001/jamanetworkopen.2023.39571
  22. Venner E, Patterson K, Kalra D, Wheeler MM, Chen YJ, Kalla SE, et al. The frequency of pathogenic variation in the All of Us cohort reveals ancestry-driven disparities. Commun Biol 2024;7:174.
  23. Austin-Tse CA, Jobanputra V, Perry DL, Bick D, Taft RJ, Venner E, et al. Best practices for the interpretation and reporting of clinical whole genome sequencing. NPJ Genom Med 2022;7:27. https://doi.org/10.1038/s41525-022-00295-z
  24. Pagnamenta AT, Camps C, Giacopuzzi E, Taylor JM, Hashim M, Calpena E, et al. Structural and non-coding variants increase the diagnostic yield of clinical whole genome sequencing for rare diseases. Genome Med 2023;15:94.
  25. Ellingford JM, Ahn JW, Bagnall RD, Baralle D, Barton S, Campbell C, et al. Recommendations for clinical interpretation of variants found in noncoding regions of the genome. Genome Med 2022;14:73. https://doi.org/10.1186/s13073-022-01073-3
  26. Shim Y, Seo J, Lee ST, Choi JR, Choi YC, Shin S, et al. Clinical application of optical genome mapping for molecular diagnosis of facioscapulohumeral muscular dystrophy. Ann Lab Med 2024;44:437–45. https://doi.org/10.3343/alm.2023.0437