Evidence review and considerations for use of first line genome sequencing to diagnose rare genetic disorders.


Journal

NPJ genomic medicine
ISSN: 2056-7944
Titre abrégé: NPJ Genom Med
Pays: England
ID NLM: 101685193

Informations de publication

Date de publication:
26 Feb 2024
Historique:
received: 11 06 2023
accepted: 26 01 2024
medline: 27 2 2024
pubmed: 27 2 2024
entrez: 26 2 2024
Statut: epublish

Résumé

Early use of genome sequencing (GS) in the diagnostic odyssey can reduce suffering and improve care, but questions remain about which patient populations are most amenable to GS as a first-line diagnostic test. To address this, the Medical Genome Initiative conducted a literature review to identify appropriate clinical indications for GS. Studies published from January 2011 to August 2022 that reported on the diagnostic yield (DY) or clinical utility of GS were included. An exploratory meta-analysis using a random effects model evaluated DY based on cohort size and diagnosed cases per cohort. Seventy-one studies met inclusion criteria, comprising over 13,000 patients who received GS in one of the following settings: hospitalized pediatric patients, pediatric outpatients, adult outpatients, or mixed. GS was the first-line test in 38% (27/71). The unweighted mean DY of first-line GS was 45% (12-73%), 33% (6-86%) in cohorts with prior genetic testing, and 33% (9-60%) in exome-negative cohorts. Clinical utility was reported in 81% of first-line GS studies in hospitalized pediatric patients. Changes in management varied by cohort and underlying molecular diagnosis (24-100%). To develop evidence-informed points to consider, the quality of all 71 studies was assessed using modified American College of Radiology (ACR) criteria, with five core points to consider developed, including recommendations for use of GS in the N/PICU, in lieu of sequential testing and when disorders with substantial allelic heterogeneity are suspected. Future large and controlled studies in the pediatric and adult populations may support further refinement of these recommendations.

Identifiants

pubmed: 38409289
doi: 10.1038/s41525-024-00396-x
pii: 10.1038/s41525-024-00396-x
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

15

Informations de copyright

© 2024. The Author(s).

Références

Trost, B., Loureiro, L. O. & Scherer, S. W. Discovery of genomic variation across a generation. Hum. Mol. Genet. 30, R174–r186 (2021).
doi: 10.1093/hmg/ddab209 pubmed: 34296264 pmcid: 8490016
Costain, G., Cohn, R. D., Scherer, S. W. & Marshall, C. R. Genome sequencing as a diagnostic test. CMAJ 193, E1626–e1629 (2021).
doi: 10.1503/cmaj.210549 pubmed: 34697096 pmcid: 8562981
Posey, J. E. et al. Resolution of disease phenotypes resulting from multilocus genomic variation. N. Engl. J. Med. 376, 21–31 (2017).
doi: 10.1056/NEJMoa1516767 pubmed: 27959697
Smith, H. S. et al. Clinical application of genome and exome sequencing as a diagnostic tool for pediatric patients: a scoping review of the literature. Genet. Med. 21, 3–16 (2019).
doi: 10.1038/s41436-018-0024-6 pubmed: 29760485
Balci, T. B. et al. Debunking Occam’s razor: diagnosing multiple genetic diseases in families by whole-exome sequencing. Clin. Genet. 92, 281–289 (2017).
doi: 10.1111/cge.12987 pubmed: 28170084
Biesecker, L. G. & Green, R. C. Diagnostic clinical genome and exome sequencing. N. Engl. J. Med. 371, 1170 (2014).
pubmed: 25229935
Gross, A. M. et al. Copy-number variants in clinical genome sequencing: deployment and interpretation for rare and undiagnosed disease. Genet. Med. 21, 1121–1130 (2019).
doi: 10.1038/s41436-018-0295-y pubmed: 30293986
Bainbridge, M. N. et al. Whole-genome sequencing for optimized patient management. Sci. Transl. Med. 3, 87re83 (2011).
doi: 10.1126/scitranslmed.3002243
Fraiman, Y. S. & Wojcik, M. H. The influence of social determinants of health on the genetic diagnostic odyssey: who remains undiagnosed, why, and to what effect? Pediatr. Res. 89, 295–300 (2021).
doi: 10.1038/s41390-020-01151-5 pubmed: 32932427
Bick, D. et al. An online compendium of treatable genetic disorders. Am. J. Med. Genet. C. Semin. Med. Genet. 187, 48–54 (2021).
doi: 10.1002/ajmg.c.31874 pubmed: 33350578
Malinowski, J. et al. Systematic evidence-based review: outcomes from exome and genome sequencing for pediatric patients with congenital anomalies or intellectual disability. Genet. Med. 22, 986–1004 (2020).
doi: 10.1038/s41436-020-0771-z pubmed: 32203227 pmcid: 7222126
Manickam, K. et al. Exome and genome sequencing for pediatric patients with congenital anomalies or intellectual disability: an evidence-based clinical guideline of the American College of Medical Genetics and Genomics (ACMG). Genet. Med. https://doi.org/10.1038/s41436-021-01242-6 (2021).
Sawyer, S. L. et al. Utility of whole-exome sequencing for those near the end of the diagnostic odyssey: time to address gaps in care. Clin. Genet. 89, 275–284 (2016).
doi: 10.1111/cge.12654 pubmed: 26283276
Shickh, S., Mighton, C., Uleryk, E., Pechlivanoglou, P. & Bombard, Y. The clinical utility of exome and genome sequencing across clinical indications: a systematic review. Hum. Genet. https://doi.org/10.1007/s00439-021-02331-x (2021).
Souche, E. et al. Recommendations for whole genome sequencing in diagnostics for rare diseases. Eur. J. Hum. Genet. https://doi.org/10.1038/s41431-022-01113-x (2022).
Marshall, C. R. et al. The Medical Genome Initiative: moving whole-genome sequencing for rare disease diagnosis to the clinic. Genome Med. 12, 48 (2020).
doi: 10.1186/s13073-020-00748-z pubmed: 32460895 pmcid: 7254704
Stavropoulos, D. J. et al. Whole genome sequencing expands diagnostic utility and improves clinical management in pediatric medicine. NPJ Genom. Med. 1, 15012 (2016).
Cirino, A. L. et al. A comparison of whole genome sequencing to multigene panel testing in hypertrophic cardiomyopathy patients. Circ. Cardiovasc. Genet. 10, e001768 (2017).
Splinter, K. et al. Effect of genetic diagnosis on patients with previously undiagnosed disease. N. Engl. J. Med. 379, 2131–2139(2018).
Richards, S. 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. 17, 405–424 (2015).
doi: 10.1038/gim.2015.30 pubmed: 25741868 pmcid: 4544753
Richards, C. S. et al. ACMG recommendations for standards for interpretation and reporting of sequence variations: Revisions 2007. Genet. Med. 10, 294–300 (2008).
doi: 10.1097/GIM.0b013e31816b5cae pubmed: 18414213
McLaughlin, H. M. et al. A systematic approach to the reporting of medically relevant findings from whole genome sequencing. BMC Med. Genet. 15, 134 (2014).
doi: 10.1186/s12881-014-0134-1 pubmed: 25714468 pmcid: 4342199
Schluth-Bolard, C. et al. Whole genome paired-end sequencing elucidates functional and phenotypic consequences of balanced chromosomal rearrangement in patients with developmental disorders. J. Med. Genet. 56, 526–535 (2019).
doi: 10.1136/jmedgenet-2018-105778 pubmed: 30923172
Gross, A. M. et al. Copy number variants in clinical WGS: deployment and interpretation for rare and undiagnosed disease. Genet. Med. 21, 1121–1130 (2019).
doi: 10.1038/s41436-018-0295-y pubmed: 30293986
Hayeems, R. Z. et al. Clinical utility of genomic sequencing: a measurement toolkit. npj Genom. Med. 5, 56 (2020).
Dimmock, D. P. et al. An RCT of rapid genomic sequencing among seriously ill infants results in high clinical utility, changes in management, and low perceived harm. Am. J. Hum. Genet. 107, 942–952 (2020).
doi: 10.1016/j.ajhg.2020.10.003 pubmed: 33157007 pmcid: 7675004
Dimmock, D. et al. Project baby bear: rapid precision care incorporating rWGS in 5 California children’s hospitals demonstrates improved clinical outcomes and reduced costs of care. Am. J. Hum. Genet. 108, 1231–1238 (2021).
doi: 10.1016/j.ajhg.2021.05.008 pubmed: 34089648 pmcid: 8322922
Kurth, D. A., Karmazyn, B. K., Waldrip, C. A., Chatfield, M. & Lockhart, M. E. ACR appropriateness criteria; methodology. J. Am. Coll. Radiol. 18, S240–S250 (2021).
doi: 10.1016/j.jacr.2021.03.021 pubmed: 34794586
Group, T. N. S. Effect of whole-genome sequencing on the clinical management of acutely Ill infants with suspected genetic disease: a randomized clinical trial. JAMA Pediatr. 175, 1218–1226 (2021).
Marshall, C. R. et al. Best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease. NPJ Genom. Med. 5, 47 (2020).
doi: 10.1038/s41525-020-00154-9 pubmed: 33110627 pmcid: 7585436
Ellingford, J. M. et al. Whole genome sequencing increases molecular diagnostic yield compared with current diagnostic testing for inherited retinal disease. Ophthalmology 123, 1143–1150 (2016).
doi: 10.1016/j.ophtha.2016.01.009 pubmed: 26872967
Minoche, A. E. et al. ClinSV: clinical grade structural and copy number variant detection from whole genome sequencing data. Genome Med. 13, 32 (2021).
doi: 10.1186/s13073-021-00841-x pubmed: 33632298 pmcid: 7908648
Dolzhenko, E. et al. ExpansionHunter Denovo: a computational method for locating known and novel repeat expansions in short-read sequencing data. Genome Biol. 21, 102 (2020).
doi: 10.1186/s13059-020-02017-z pubmed: 32345345 pmcid: 7187524
Chung, C. C. Y. 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. 25, 100896 (2023).
Clark, M. M. 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. 3, 16 (2018).
doi: 10.1038/s41525-018-0053-8 pubmed: 30002876 pmcid: 6037748
Franck, L. S. et al. Healthcare professionals’ attitudes toward rapid whole genome sequencing in pediatric acute care. Children 9, 357 (2022).
Bupp, C. P. et al. Breaking barriers to rapid whole genome sequencing in pediatrics: Michigan’s Project Baby Deer. Children 10, 106 (2023).
Stijnen, T., Hamza, T. H. & Ozdemir, P. Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data. Stat. Med. 29, 3046–3067 (2010).
doi: 10.1002/sim.4040 pubmed: 20827667
Balduzzi, S., Rücker, G. & Schwarzer, G. How to perform a meta-analysis with R: a practical tutorial. Evid. Based Ment. Health 22, 153–160 (2019).
doi: 10.1136/ebmental-2019-300117 pubmed: 31563865 pmcid: 10231495
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. 56, 783–791 (2019).
Bowling, K. M. et al. Genome sequencing as a first-line diagnostic test for hospitalized infants. Genet. Med. 24, 851–861 (2022).
doi: 10.1016/j.gim.2021.11.020 pubmed: 34930662
Farnaes, L. et al. Rapid whole-genome sequencing decreases infant morbidity and cost of hospitalization. NPJ Genom. Med. 3, 10 (2018).
doi: 10.1038/s41525-018-0049-4 pubmed: 29644095 pmcid: 5884823
French, C. E. et al. Whole genome sequencing reveals that genetic conditions are frequent in intensively ill children. Intensive Care Med. 45, 627–636 (2019).
doi: 10.1007/s00134-019-05552-x pubmed: 30847515 pmcid: 6483967
Kingsmore, S. F. et al. A randomized, controlled trial of the analytic and diagnostic performance of singleton and trio, rapid genome and exome sequencing in ill infants. Am. J. Hum. Genet. 105, 719–733 (2019).
doi: 10.1016/j.ajhg.2019.08.009 pubmed: 31564432 pmcid: 6817534
Mestek-Boukhibar, L. et al. Rapid paediatric sequencing (RaPS): comprehensive real-life workflow for rapid diagnosis of critically ill children. J. Med. Genet. 55, 721–728 (2018).
Palmquist, R. et al. Evaluating use of changing technologies for rapid next-generation sequencing in pediatrics. Pediatr. Res. 92, 1364–1369 (2022).
Petrikin, J. E. et al. The NSIGHT1-randomized controlled trial: rapid whole-genome sequencing for accelerated etiologic diagnosis in critically ill infants. NPJ Genom. Med. 3, 6 (2018).
doi: 10.1038/s41525-018-0045-8 pubmed: 29449963 pmcid: 5807510
Sanford, E. F. et al. Rapid whole genome sequencing has clinical utility in children in the PICU. Pediatr. Crit. Care Med. 20, 1007–1020 (2019).
Sweeney, N. M. et al. Rapid whole genome sequencing impacts care and resource utilization in infants with congenital heart disease. NPJ Genom. Med. 6, 29 (2021).
doi: 10.1038/s41525-021-00192-x pubmed: 33888711 pmcid: 8062477
van Diemen, C. C. et al. Rapid targeted genomics in critically ill newborns. Pediatrics 140, e20162854 (2017).
Wang, H. et al. Diagnostic and clinical utility of next-generation sequencing in children born with multiple congenital anomalies in the China neonatal genomes project. Hum. Mutat. 42, 434–444 (2021).
Willig, L. K. et al. Whole-genome sequencing for identification of Mendelian disorders in critically ill infants: a retrospective analysis of diagnostic and clinical findings. Lancet Respir. Med. 3, 377–387 (2015).
doi: 10.1016/S2213-2600(15)00139-3 pubmed: 25937001 pmcid: 4479194
Wu, B. et al. Application of full-spectrum rapid clinical genome sequencing improves diagnostic rate and clinical outcomes in citically ill infants in the China Neonatal Genomes Project. Crit. Care Med. 49, 1674–1683 (2021).

Auteurs

Kristen M Wigby (KM)

University of California, Davis, CA, USA. kmwigby@ucdavis.edu.
Rady Children's Institute for Genomic Medicine, San Diego, CA, USA. kmwigby@ucdavis.edu.

Deanna Brockman (D)

Massachusetts General Hospital, Boston, MA, USA.

Gregory Costain (G)

The Hospital for Sick Children, Toronto, CA, USA.

Caitlin Hale (C)

Stanford Healthcare, Palo Alto, CA, USA.

Stacie L Taylor (SL)

Illumina Inc, San Diego, CA, USA.

John Belmont (J)

Genetics & Genomics Services Inc, Houston, TX, USA.

David Bick (D)

Genomics England Ltd, London, UK.

David Dimmock (D)

Rady Children's Institute for Genomic Medicine, San Diego, CA, USA.

Susan Fernbach (S)

Baylor College of Medicine, Houston, TX, USA.

John Greally (J)

Albert Einstein College of Medicine, Bronx, NY, USA.

Vaidehi Jobanputra (V)

New York Genome Center, New York, NY, USA.

Shashikant Kulkarni (S)

Baylor College of Medicine, Houston, TX, USA.

Elizabeth Spiteri (E)

Stanford Healthcare, Palo Alto, CA, USA.

Ryan J Taft (RJ)

Illumina Inc, San Diego, CA, USA.

Classifications MeSH