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Whole-genome sequencing for identification of Mendelian disorders in critically ill infants: a retrospective analysis of diagnostic and clinical findings
Open accessAbstract
Summary Background Genetic disorders and congenital anomalies are the leading causes of infant mortality. Diagnosis of most genetic diseases in neonatal and paediatric intensive care units (NICU and PICU) is not sufficiently timely to guide acute clinical management. We used rapid whole-genome sequencing (STATseq) in a level 4 NICU and PICU to assess the rate and types of molecular diagnoses, and the prevalence, types, and effect of diagnoses that are likely to change medical management in critically ill infants. Methods We did a retrospective comparison of STATseq and standard genetic testing in a case series from the NICU and PICU of a large children's hospital between Nov 11, 2011, and Oct 1, 2014. The participants were families with an infant younger than 4 months with an acute illness of suspected genetic cause. The intervention was STATseq of trios (both parents and their affected infant). The main measures were the diagnostic rate, time to diagnosis, and rate of change in management after standard genetic testing and STATseq. Findings 20 (57%) of 35 infants were diagnosed with a genetic disease by use of STATseq and three (9%) of 32 by use of standard genetic testing (p=0·0002). Median time to genome analysis was 5 days (range 3–153) and median time to STATseq report was 23 days (5–912). 13 (65%) of 20 STATseq diagnoses were associated with de-novo mutations. Acute clinical usefulness was noted in 13 (65%) of 20 infants with a STATseq diagnosis, four (20%) had diagnoses with strongly favourable effects on management, and six (30%) were started on palliative care. 120-day mortality was 57% (12 of 21) in infants with a genetic diagnosis. Interpretation In selected acutely ill infants, STATseq had a high rate of diagnosis of genetic disorders. Most diagnoses altered the management of infants in the NICU or PICU. The very high infant mortality rate indicates a substantial need for rapid genomic diagnoses to be allied with a novel framework for precision medicine for infants in NICU and PICU who are diagnosed with genetic diseases to improve outcomes. Funding Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Human Genome Research Institute, and National Center for Advancing Translational Sciences.
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Richards, S., Aziz, N., Bale, S., Bick, D., Das, S., Gastier-Foster, J., Grody, W. W., Hegde, M., Lyon, E., Spector, E., et al. (2015) · Genetics in Medicine · doi:10.1038/gim.2015.30 · Cited by 32,594
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration
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Whole-Genome Sequencing in a Patient with Charcot–Marie–Tooth Neuropathy
Lupski, J. R., Reid, J. G., Gonzaga-Jauregui, C., Rio Deiros, D., Chen, D. C. Y., Nazareth, L., Bainbridge, M., Dinh, H., Jing, C., Wheeler, D. A., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0908094 · Cited by 759 · cited 1×
“Total Infants with a STATseq diagnosis Infants without a STATseq diagnosis Infants 35 (100%) 20 (100%) 15 (100%) Consanguinity or isolated population 1 (3%) 1 (5%) 0 Sex, male 18 (51%) 9 (45%) 9 (60%) Family history of similar disorder 5 (14%) 4 (20%) 1 (7%) Gestational age (weeks; mean, range) 37 (29-41) 37 (29-40) 3…”
Clinical Diagnostics in Human Genetics with Semantic Similarity Searches in Ontologies
Köhler, S., Schulz, M. H., Krawitz, P., Bauer, S., Dölken, S., Ott, C. E., Mundlos, C., Horn, D., Mundlos, S., & Robinson, P. N. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.09.003 · Cited by 590
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Clark, M. M., Stark, Z., Farnaes, L., Tan, T. Y., White, S. M., Dimmock, D., & Kingsmore, S. F. (2018) · npj Genomic Medicine · doi:10.1038/s41525-018-0053-8 · Cited by 619
Self-citationLionel, A. C., Costain, G., Monfared, N., Walker, S., Reuter, M. S., Hosseini, S. M., Thiruvahindrapuram, B., Merico, D., Jobling, R., Nalpathamkalam, T., et al. (2018) · Genetics in Medicine · doi:10.1038/gim.2017.119 · Cited by 557
Schwarze, K., Buchanan, J., Taylor, J. C., & Wordsworth, S. (2018) · Genetics in Medicine · doi:10.1038/gim.2017.247 · Cited by 513
Rapid whole-genome sequencing decreases infant morbidity and cost of hospitalization
Farnaes, L., Hildreth, A., Sweeney, N. M., Clark, M. M., Chowdhury, S., Nahas, S., Cakici, J. A., Benson, W., Kaplan, R. H., Kronick, R., et al. (2018) · npj Genomic Medicine · doi:10.1038/s41525-018-0049-4 · Cited by 445
Self-citationStark, Z., Tan, T. Y., Chong, B., Brett, G. R., Yap, P., Walsh, M., Yeung, A., Peters, H., Mordaunt, D., Cowie, S., et al. (2016) · Genetics in Medicine · doi:10.1038/gim.2016.1 · Cited by 396
Metadata
- Authors
- Willig, L. K., Petrikin, J. E., Smith, L. D., Saunders, C. J., Thiffault, I., Miller, N. A., Soden, S. E., Cakici, J. A., Herd, S. M., Twist, G., Noll, A., Creed, M., Alba, P. M., Carpenter, S. L., Clements, M. A., Fischer, R. T., Hays, J. A., Kilbride, H., McDonough, R. J., Rosterman, J. L., Tsai, S. L., Zellmer, L., Farrow, E. G., & Kingsmore, S. F.
- Venue
- The Lancet Respiratory Medicine
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 3
- Issue
- 5
- Pages
- 377-387
- ISSN
- 2213-2600 (ISSN-L)
- OpenAlex
- W1969600342
- Cited by
- 401
- References
- 6
- FWCI
- 22.41
- Type
- journal article
- Language
- en
- Open access
- green
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- Willig, L. K., Petrikin, J. E., Smith, L. D., Saunders, C. J., Thiffault, I., Miller, N. A., Soden, S. E., Cakici, J. A., Herd, S. M., Twist, G., Noll, A., Creed, M., Alba, P. M., Carpenter, S. L., Clements, M. A., Fischer, R. T., Hays, J. A., Kilbride, H., McDonough, R. J., . . . Kingsmore, S. F. (2015). Whole-genome sequencing for identification of Mendelian disorders in critically ill infants: a retrospective analysis of diagnostic and clinical findings. The Lancet Respiratory Medicine. https://doi.org/10.1016/s2213-2600(15)00139-3
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