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A microcosting and cost–consequence analysis of clinical genomic testing strategies in autism spectrum disorder
- Source :
- Genetics in Medicine. 19:1268-1275
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- PurposeWhole-exome (WES) and whole-genome sequencing (WGS) increase the diagnostic yield in autism spectrum disorder (ASD) compared to chromosomal microarray (CMA), but there have been no comprehensive cost analyses. The objective was to perform such an assessment of CMA, WES, and WGS and compare the incremental cost per additional positive finding in hypothetical testing scenarios.MethodsFive-year patient and program costs were estimated from an institutional perspective. WES and WGS estimates were based on HiSeq 2500 with an additional WGS estimate for HiSeq X platforms. Parameter uncertainty was assessed with probabilistic and deterministic sensitivity analysis.ResultsThe cost per ASD sample was CAD$1,655 (95% CI: 1,611; 1,699) for WES, CAD$2,851 (95% CI: 2,750; 2,956) for WGS on HiSeq X, and CAD$5,519 (95% CI: 5,244; 5,785) on HiSeq 2500, compared to CAD$744 (95% CI 714, 773) for CMA. The incremental cost was over CAD$25,000 per additional positive finding if CMA was replaced by newer technology.ConclusionWhile costs for WES and WGS remain high, future reductions in material and equipment costs, and increased understanding of newly discovered variants and variants of unknown significance will lead to improved value.
- Subjects :
- 0301 basic medicine
Marginal cost
Whole Genome Sequencing
Autism Spectrum Disorder
Genome, Human
Cost consequences
business.industry
030105 genetics & heredity
Microarray Analysis
medicine.disease
03 medical and health sciences
030104 developmental biology
Unknown Significance
Autism spectrum disorder
Exome Sequencing
Statistics
Costs and Cost Analysis
medicine
Chromosomes, Human
Humans
Personalized medicine
business
Positive Finding
Genetics (clinical)
Exome sequencing
Subjects
Details
- ISSN :
- 10983600
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Genetics in Medicine
- Accession number :
- edsair.doi.dedup.....2acf9fc1b45b3b21cd76fa3eb74355e7
- Full Text :
- https://doi.org/10.1038/gim.2017.47