Abstract
Purpose of Review
Precision child health (PCH) is an emerging branch of precision medicine that focuses on the unique needs of the paediatric population. A PCH approach has the potential to enhance both quality of care and patient safety. Genome-wide sequencing can be used as a specific exemplar to showcase current opportunities and forecast future developments.
Recent Findings
Information gained from genome-wide sequencing can increase awareness of common and rare medical complications. Care provided to children and their families may then shift from reactive to proactive. Pertinent categories of results from genetic testing include primary diagnostic findings, genetic modifiers of disease expression, and secondary findings. In addition, an individual’s unifying genetic diagnosis, disease subtype, and pharmacogenomic profile can all inform drug selection and treatment outcome. Recent lessons learned from the integration of genome-wide sequencing into the clinic may be generalizable to other “big data”-driven interventions.
Summary
Quality of care and patient safety are key targets of a PCH approach. The genomic revolution offers insights into this proposed new paradigm for healthcare delivery by showcasing the value of accurate diagnosis, disease subtyping with molecular markers, and awareness of individual- or family-specific risk factors for adverse outcomes.
Similar content being viewed by others
References and Recommended Reading
Papers of particular interest, published recently, have been highlighted as: • Of importance
Matlow AG, Baker GR, Flintoft V, Cochrane D, Coffey M, Cohen E, et al. Adverse events among children in Canadian hospitals: the Canadian Paediatric Adverse Events Study. CMAJ. 2012;184(13):E709–18. https://doi.org/10.1503/cmaj.112153.
Wright CF, FitzPatrick DR, Firth HV. Paediatric genomics: diagnosing rare disease in children. Nat Rev Genet. 2018;19(5):253–68. https://doi.org/10.1038/nrg.2017.116.
Gonzaludo N, Belmont JW, Gainullin VG, Taft RJ. Estimating the burden and economic impact of pediatric genetic disease. Genet Med. 2019;21(8):1781–9. https://doi.org/10.1038/s41436-018-0398-5.
Stavropoulos DJ, Merico D, Jobling R, Bowdin S, Monfared N, Thiruvahindrapuram B, et al. Whole genome sequencing expands diagnostic utility and improves clinical management in pediatric medicine. NPJ Genom Med. 2016;1. https://doi.org/10.1038/npjgenmed.2015.12.
Meng L, Pammi M, Saronwala A, Magoulas P, Ghazi AR, Vetrini F, 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(12):e173438. https://doi.org/10.1001/jamapediatrics.2017.3438.
Tan TY, Dillon OJ, Stark Z, Schofield D, Alam K, Shrestha R, et al. Diagnostic impact and cost-effectiveness of whole-exome sequencing for ambulant children with suspected monogenic conditions. JAMA Pediatr. 2017;171(9):855–62. https://doi.org/10.1001/jamapediatrics.2017.1755.
Posey JE, Harel T, Liu P, Rosenfeld JA, James RA, Coban Akdemir ZH, et al. Resolution of disease phenotypes resulting from multilocus genomic variation. N Engl J Med. 2017;376(1):21–31. https://doi.org/10.1056/NEJMoa1516767.
Clark MM, Stark Z, Farnaes L, Tan TY, White SM, Dimmock D, et al. Meta-analysis of the diagnostic and clinical utility of genome and exome sequencing and chromosomal microarray in children with suspected genetic diseases. NPJ Genom Med. 2018;3:16. https://doi.org/10.1038/s41525-018-0053-8.
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(4):435–43. https://doi.org/10.1038/gim.2017.119.
• Turro E, Astle WJ, Megy K, Graf S, Greene D, Shamardina O, et al. Whole-genome sequencing of patients with rare diseases in a national health system. Nature. 2020. https://doi.org/10.1038/s41586-020-2434-2 A landmark study demonstrating that the diagnosis of rare genetic conditions can be enhanced by integrating clinical testing with whole-genome sequencing and research on a national scale.
Bick D, Jones M, Taylor SL, Taft RJ, Belmont J. Case for genome sequencing in infants and children with rare, undiagnosed or genetic diseases. J Med Genet. 2019;56:783–91. https://doi.org/10.1136/jmedgenet-2019-106111.
Srivastava S, Love-Nichols JA, Dies KA, Ledbetter DH, Martin CL, Chung WK, et al. Meta-analysis and multidisciplinary consensus statement: exome sequencing is a first-tier clinical diagnostic test for individuals with neurodevelopmental disorders. Genet Med. 2019;21(11):2413–21. https://doi.org/10.1038/s41436-019-0554-6.
• Reuter MS, Chaturvedi RR, Liston E, Manshaei R, Aul RB, Bowdin S, et al. The Cardiac Genome Clinic: implementing genome sequencing in pediatric heart disease. Genet Med. 2020. https://doi.org/10.1038/s41436-020-0757-x A proof-of-concept study illustrating how genome sequencing data can be integrated into multiple facets of clinical care in a paediatric disease population.
McDonald-McGinn DM, Sullivan KE, Marino B, Philip N, Swillen A, Vorstman JA, et al. 22q112 deletion syndrome. Nat Rev Dis Primers. 2015;1:15071. https://doi.org/10.1038/nrdp.2015.71.
Bassett AS, Lowther C, Merico D, Costain G, Chow EWC, van Amelsvoort T, et al. Rare genome-wide copy number variation and expression of schizophrenia in 22q11.2 deletion syndrome. Am J Psychiatry. 2017;174(11):1054–63. https://doi.org/10.1176/appi.ajp.2017.16121417.
Zhao Y, Diacou A, Johnston HR, Musfee FI, McDonald-McGinn DM, McGinn D, et al. Complete sequence of the 22q11.2 allele in 1,053 subjects with 22q11.2 deletion syndrome reveals modifiers of conotruncal heart defects. Am J Hum Genet. 2020;106(1):26–40. https://doi.org/10.1016/j.ajhg.2019.11.010.
Cleynen I, Engchuan W, Hestand MS, Heung T, Holleman AM, Johnston HR, et al. Genetic contributors to risk of schizophrenia in the presence of a 22q11.2 deletion. Mol Psychiatry. 2020. https://doi.org/10.1038/s41380-020-0654-3.
Gong J, Wang F, Xiao B, Panjwani N, Lin F, Keenan K, et al. Genetic association and transcriptome integration identify contributing genes and tissues at cystic fibrosis modifier loci. PLoS Genet. 2019;15(2):e1008007. https://doi.org/10.1371/journal.pgen.1008007.
Kalia SS, Adelman K, Bale SJ, Chung WK, Eng C, Evans JP, et al. Recommendations for reporting of secondary findings in clinical exome and genome sequencing, 2016 update (ACMG SF v2.0): a policy statement of the American College of Medical Genetics and Genomics. Genet Med. 2017;19(2):249–55. https://doi.org/10.1038/gim.2016.190.
Webber EM, Hunter JE, Biesecker LG, Buchanan AH, Clarke EV, Currey E, et al. Evidence-based assessments of clinical actionability in the context of secondary findings: updates from ClinGen's Actionability Working Group. Hum Mutat. 2018;39(11):1677–85. https://doi.org/10.1002/humu.23631.
Hart MR, Biesecker BB, Blout CL, Christensen KD, Amendola LM, Bergstrom KL, et al. Secondary findings from clinical genomic sequencing: prevalence, patient perspectives, family history assessment, and health-care costs from a multisite study. Genet Med. 2019;21(5):1100–10. https://doi.org/10.1038/s41436-018-0308-x.
Haer-Wigman L, van der Schoot V, Feenstra I, Vulto-van Silfhout AT, Gilissen C, Brunner HG, et al. 1 in 38 individuals at risk of a dominant medically actionable disease. Eur J Hum Genet. 2019;27(2):325–30. https://doi.org/10.1038/s41431-018-0284-2.
Finkel RS, Mercuri E, Darras BT, Connolly AM, Kuntz NL, Kirschner J, et al. Nusinersen versus sham control in infantile-onset spinal muscular atrophy. N Engl J Med. 2017;377(18):1723–32. https://doi.org/10.1056/NEJMoa1702752.
Mendell JR, Al-Zaidy S, Shell R, Arnold WD, Rodino-Klapac LR, Prior TW, et al. Single-dose gene-replacement therapy for spinal muscular atrophy. N Engl J Med. 2017;377(18):1713–22. https://doi.org/10.1056/NEJMoa1706198.
• Kim J, Hu C, Moufawad El Achkar C, Black LE, Douville J, Larson A, et al. Patient-Customized Oligonucleotide Therapy for a Rare Genetic Disease. N Engl J Med. 2019;381(17):1644–52. https://doi.org/10.1056/NEJMoa1813279 An illustration of rapid creation, testing, and administration of an individualized therapy for a rare genetic condition, which challenges some of the traditional aspects of drug development and regulatory approval.
Day S, Jonker AH, Lau LPL, Hilgers RD, Irony I, Larsson K, et al. Recommendations for the design of small population clinical trials. Orphanet J Rare Dis. 2018;13(1):195. https://doi.org/10.1186/s13023-018-0931-2.
Ballreich J, Ezebilo I, Sharfstein J. Affording genetic therapies in the Medicaid program. JAMA Pediatr. 2020;174:523. https://doi.org/10.1001/jamapediatrics.2020.0168.
Cohn I, Paton TA, Marshall CR, Basran R, Stavropoulos DJ, Ray PN, et al. Genome sequencing as a platform for pharmacogenetic genotyping: a pediatric cohort study. NPJ Genom Med. 2017;2:19. https://doi.org/10.1038/s41525-017-0021-8.
Roden DM, McLeod HL, Relling MV, Williams MS, Mensah GA, Peterson JF, et al. Pharmacogenomics. Pharmacogenomics Lancet. 2019;394(10197):521–32. https://doi.org/10.1016/S0140-6736(19)31276-0.
Shrestha GS, Paneru HR, Vincent JL. Precision medicine for COVID-19: a call for better clinical trials. Crit Care. 2020;24(1):282. https://doi.org/10.1186/s13054-020-03002-5.
Canada H. Spartan cube Covid-19 system (2020-05-05) Medical Device Recall. 2020. https://healthycanadians.gc.ca/recall-alert-rappel-avis/hc-sc/2020/72971r-eng.php#reason-motif. Accessed 14 June 2020.
Haddow JE, Palomaki GE. ACCE: A model process for evaluating data on emerging genetic tests. In: Khoury M, Little J, Burke W, editors. Human genome epidemiology: a scientific foundation for using genetic information to improve health and prevent disease: Oxford University Press; 2003. p. 217–33.
Sardella M, Belcher G. Pharmacovigilance of medicines for rare and ultrarare diseases. Ther Adv Drug Saf. 2018;9(11):631–8. https://doi.org/10.1177/2042098618792502.
Kingsmore SF, Ramchandar N, James K, Niemi AK, Feigenbaum A, Ding Y, et al. Mortality in a neonate with molybdenum cofactor deficiency illustrates the need for a comprehensive rapid precision medicine system. Cold Spring Harbor Mol Case Stud. 2020;6(1). https://doi.org/10.1101/mcs.a004705.
Costain G, Moore AM, Munroe L, Williams A, Zlotnik Shaul R, Rockman-Greenberg C, et al. Enzyme replacement therapy in perinatal hypophosphatasia: case report of a negative outcome and lessons for clinical practice. Mol Genet Metab Rep. 2018;14:22–6. https://doi.org/10.1016/j.ymgmr.2017.10.006.
Gottesman O, Kuivaniemi H, Tromp G, Faucett WA, Li R, Manolio TA, et al. The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future. Genet Med. 2013;15(10):761–71. https://doi.org/10.1038/gim.2013.72.
• Bycroft C, Freeman C, Petkova D, Band G, Elliott LT, Sharp K, et al. The UK Biobank resource with deep phenotyping and genomic data. Nature. 2018;562(7726):203–9. https://doi.org/10.1038/s41586-018-0579-z A description of the UK Biobank open resource, which highlights both challenges associated with managing “big data” as well as unique opportunities for advancing precision medicine.
Acknowledgements
The authors thank their colleagues at The Hospital for Sick Children for thoughtful discussions related to precision child health.
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Conflict of Interest
Gregory Costain declares that he has no conflict of interest. Ronald D. Cohn declares that he has no conflict of interest. David Malkin declares that he has no conflict of interest.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This article is part of the Topical Collection on Patient Safety
Rights and permissions
About this article
Cite this article
Costain, G., Cohn, R.D. & Malkin, D. Precision Child Health: an Emerging Paradigm for Paediatric Quality and Safety. Curr Treat Options Peds 6, 317–324 (2020). https://doi.org/10.1007/s40746-020-00207-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40746-020-00207-2