Optimal Protocols and Management of Clinical and Genomic Data Collection to Assist in the Early Diagnosis and Treatment of Multiple Congenital Anomalies
Abstract
:1. Introduction
2. Methods/Design
2.1. Patient Registry Establishment and Selection of Eligible Patients
2.2. Establishment of Consent System
2.3. Development of Clinical and Epidemiological Information Collection Protocol (Case Record Form)
2.4. Collection of Human Biospecimens and DNA Generation
2.5. Generation of Genomic Information
2.6. Establishment of a Genetic Diagnosis Platform by the Multidisciplinary Expert Panel
3. Discussion
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
CA | Congenital anomalies |
NIH | National Institutes of Health |
NGS | Next-generation sequencing |
SMC | Samsung Medical Center |
HPO | Human Phenotype Ontology |
DNA | Deoxyribonucleic acid |
WGS | Whole genome sequencing |
RNA | Ribonucleic acid |
WES | Whole exome sequencing |
References
- Liu, L.; Oza, S.; Hogan, D.; Chu, Y.; Perin, J.; Zhu, J.; Lawn, J.E.; Cousens, S.; Mathers, C.; Black, R.E. Global, regional, and national causes of under-5 mortality in 2000–15: An updated systematic analysis with implications for the Sustainable Development Goals. Lancet 2016, 388, 3027–3035. [Google Scholar] [CrossRef] [PubMed]
- Womack, L.S.; Rossen, L.M.; Hirai, A.H. Urban-rural infant mortality disparities by race and ethnicity and cause of death. Am. J. Prev. Med. 2020, 58, 254–260. [Google Scholar] [CrossRef] [PubMed]
- Boyle, B.; Addor, M.C.; Arriola, L.; Barisic, I.; Bianchi, F.; Csáky-Szunyogh, M.; de Walle, H.E.K.; Dias, C.M.; Draper, E.; Gatt, M.; et al. Estimating Global Burden of Disease due to congenital anomaly: An analysis of European data. Arch. Dis. Child. Fetal Neonatal Ed. 2018, 103, F22–F28. [Google Scholar] [CrossRef]
- Mai, C.T.; Isenburg, J.L.; Canfield, M.A.; Meyer, R.E.; Correa, A.; Alverson, C.J.; Lupo, P.J.; Riehle-Colarusso, T.; Cho, S.J.; Aggarwal, D.; et al. National population-based estimates for major birth defects, 2010–2014. Birth Defects Res. 2019, 111, 1420–1435. [Google Scholar] [CrossRef]
- Ko, J.K.; Lamichhane, D.K.; Kim, H.C.; Leem, J.H. Trends in the prevalences of selected birth defects in Korea (2008–2014). Int. J. Environ. Res. Public Health 2018, 15, 923. [Google Scholar] [CrossRef] [PubMed]
- Centers for Disease Control and Prevention. ‘Birth Defects’, Surveillance Manual. Causes of Congenital Anomalies and Classification According to Developmental Mechanism and Clinical Presentation. Available online: https://www.cdc.gov/ncbddd/birthdefects/surveillancemanual/appendices/appendix-c.htmlAppendixC (accessed on 30 September 2023).
- Verma, R.P. Evaluation and risk assessment of congenital anomalies in neonates. Children 2021, 8, 862. [Google Scholar] [CrossRef]
- Richter, T.; Nestler-Parr, S.; Babela, R.; Khan, Z.M.; Tesoro, T.; Molsen, E.; Hughes, D.A.; International Society for Pharmacoeconomics and Outcomes Research Rare Disease Special Interest Group. Rare disease terminology and definitions-a systematic global review: Report of the ISPOR Rare Disease Special Interest Group. Value Health 2015, 18, 906–914. [Google Scholar] [CrossRef]
- Wright, C.F.; FitzPatrick, D.R.; Firth, H.V. Paediatric genomics: Diagnosing rare disease in children. Nat. Rev. Genet. 2018, 19, 253–268. [Google Scholar] [CrossRef] [PubMed]
- Rahit, K.M.T.H.; Tarailo-Graovac, M. Genetic modifiers and rare Mendelian disease. Genes 2020, 11, 239. [Google Scholar] [CrossRef]
- Gahl, W.A.; Markello, T.C.; Toro, C.; Fajardo, K.F.; Sincan, M.; Gill, F.; Carlson-Donohoe, H.; Gropman, A.; Pierson, T.M.; Golas, G.; et al. The National Institutes of Health Undiagnosed Diseases Program: Insights into rare diseases. Genet. Med. 2012, 14, 51–59. [Google Scholar] [CrossRef]
- Kim, S.Y.; Lim, B.C.; Lee, J.S.; Kim, W.J.; Kim, H.; Ko, J.M.; Kim, K.J.; Choi, S.A.; Kim, H.; Hwang, H.; et al. The Korean undiagnosed diseases program: Lessons from a one-year pilot project. Orphanet J. Rare Dis. 2019, 14, 68. [Google Scholar] [CrossRef] [PubMed]
- Vijay, P.; McIntyre, A.B.; Mason, C.E.; Greenfield, J.P.; Li, S. Clinical genomics: Challenges and opportunities. Crit. Rev. Eukaryot. Gene Expr. 2016, 26, 97–113. [Google Scholar] [CrossRef] [PubMed]
- Rabbani, B.; Nakaoka, H.; Akhondzadeh, S.; Tekin, M.; Mahdieh, N. Next generation sequencing: Implications in personalized medicine and pharmacogenomics. Mol. Biosyst. 2016, 12, 1818–1830. [Google Scholar] [CrossRef] [PubMed]
- Baldacci, S.; Gorini, F.; Santoro, M.; Pierini, A.; Minichilli, F.; Bianchi, F. Environmental and individual exposure and the risk of congenital anomalies: A review of recent epidemiological evidence. Epidemiol. Prev. 2018, 42, 1–34. [Google Scholar] [CrossRef] [PubMed]
- Li, H.; Durbin, R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 2009, 25, 1754–1760. [Google Scholar] [CrossRef]
- McKenna, A.; Hanna, M.; Banks, E.; Sivachenko, A.; Cibulskis, K.; Kernytsky, A.; Garimella, K.; Altshuler, D.; Gabriel, S.; Daly, M.; et al. The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010, 20, 1297–1303. [Google Scholar] [CrossRef]
- Wang, K.; Li, M.; Hakonarson, H. ANNOVAR: Functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010, 38, e164. [Google Scholar] [CrossRef]
- Rockowitz, S.; LeCompte, N.; Carmack, M.; Quitadamo, A.; Wang, L.; Park, M.; Knight, D.; Sexton, E.; Smith, L.; Sheidley, B.; et al. Children’s rare disease cohorts: An integrative research and clinical genomics initiative. NPJ Genom. Med. 2020, 5, 29. [Google Scholar] [CrossRef]
- Guo, C.; Zhao, Z.; Chen, D.; He, S.; Sun, N.; Li, Z.; Liu, J.; Zhang, D.; Zhang, J.; Li, J.; et al. Detection of clinically relevant genetic variants in Chinese patients with nanophthalmos by trio-based whole-genome sequencing study. Investig. Ophthalmol. Vis. Sci. 2019, 60, 2904–2913. [Google Scholar] [CrossRef]
- Lee, J.H.; Youn, Y.; Chang, Y.S. Short- and long-term outcomes of very low birth weight infants in Korea: Korean Neonatal Network update in 2019. Clin. Exp. Pediatr. 2020, 63, 284–290. [Google Scholar] [CrossRef]
- Marshall, C.R.; Bick, D.; Belmont, J.W.; Taylor, S.L.; Ashley, E.; Dimmock, D.; Jobanputra, V.; Kearney, H.M.; Kulkarni, S.; Rehm, H. The Medical Genome Initiative: Moving whole-genome sequencing for rare disease diagnosis to the clinic. Genome Med. 2020, 12, 48. [Google Scholar] [CrossRef] [PubMed]
- French, C.E.; Delon, I.; Dolling, H.; Sanchis-Juan, A.; Shamardina, O.; Megy, K.; Abbs, S.; Austin, T.; Bowdin, S.; Branco, R.G.; et al. Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children. Intensive Care Med. 2019, 45, 627–636. [Google Scholar] [CrossRef] [PubMed]
- Slavotinek, A.; Rego, S.; Sahin-Hodoglugil, N.; Kvale, M.; Lianoglou, B.; Yip, T.; Hoban, H.; Outram, S.; Anguiano, B.; Chen, F.; et al. Diagnostic yield of pediatric and prenatal exome sequencing in a diverse population. NPJ Genom. Med. 2023, 8, 10. [Google Scholar] [CrossRef] [PubMed]
- Mattick, J.S.; Dinger, M.; Schonrock, N.; Cowley, M. Whole genome sequencing provides better diagnostic yield and future value than whole exome sequencing. Med. J. Aust. 2018, 209, 197–199. [Google Scholar] [CrossRef]
- Bick, D.; Jones, M.; Taylor, S.L.; Taft, R.J.; Belmont, J. Case for genome sequencing in infants and children with rare, undiagnosed or genetic diseases. J. Med. Genet. 2019, 56, 783–791. [Google Scholar] [CrossRef]
- Daoud, H.; Luco, S.M.; Li, R.; Bareke, E.; Beaulieu, C.; Jarinova, O.; Carson, N.; Nikkel, S.M.; Graham, G.E.; Richer, J.; et al. Next-generation sequencing for diagnosis of rare diseases in the neonatal intensive care unit. Can. Med. Assoc. J. 2016, 188, E254–E260. [Google Scholar] [CrossRef]
- Meng, L.; Pammi, M.; Saronwala, A.; Magoulas, P.; Ghazi, A.R.; Vetrini, F.; Zhang, J.; He, W.; Dharmadhikari, A.V.; Qu, C.; et al. Use of exome sequencing for infants in intensive care units: Ascertainment of severe single-gene disorders and effect on medical management. JAMA Pediatr. 2017, 171, e173438. [Google Scholar] [CrossRef]
- Kritioti, E.; Theodosiou, A.; Parpaite, T.; Alexandrou, A.; Nicolaou, N.; Papaevripidou, I.; Séjourné, N.; Coste, B.; Christophidou-Anastasiadou, V.; Tanteles, G.A.; et al. Unravelling the genetic causes of multiple malformation syndromes: A whole exome sequencing study of the Cypriot population. PLoS ONE 2021, 16, e0253562. [Google Scholar] [CrossRef]
- NICUSeq Study Group; Krantz, I.D.; Medne, L.; Weatherly, J.M.; Wild, K.T.; Biswas, S.; Devkota, B.; Hartman, T.; Brunelli, L.; Fishler, K.P.; et al. Effect of whole-genome sequencing on the clinical management of acutely ill infants with suspected genetic disease: A randomized clinical trial. JAMA Pediatr. 2021, 175, 1218–1226. [Google Scholar] [CrossRef]
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Jo, H.S.; Yang, M.; Ahn, S.Y.; Sung, S.I.; Park, W.S.; Jang, J.-H.; Chang, Y.S. Optimal Protocols and Management of Clinical and Genomic Data Collection to Assist in the Early Diagnosis and Treatment of Multiple Congenital Anomalies. Children 2023, 10, 1673. https://doi.org/10.3390/children10101673
Jo HS, Yang M, Ahn SY, Sung SI, Park WS, Jang J-H, Chang YS. Optimal Protocols and Management of Clinical and Genomic Data Collection to Assist in the Early Diagnosis and Treatment of Multiple Congenital Anomalies. Children. 2023; 10(10):1673. https://doi.org/10.3390/children10101673
Chicago/Turabian StyleJo, Heui Seung, Misun Yang, So Yoon Ahn, Se In Sung, Won Soon Park, Ja-Hyun Jang, and Yun Sil Chang. 2023. "Optimal Protocols and Management of Clinical and Genomic Data Collection to Assist in the Early Diagnosis and Treatment of Multiple Congenital Anomalies" Children 10, no. 10: 1673. https://doi.org/10.3390/children10101673