Abstract
Purpose: Whole-exome sequencing (WES) has revolutionized Mendelian diagnostics, however, there is no consensus on the timing of data review in undiagnosed individuals and only preliminary data on the cost-effectiveness of this technology. We aimed to assess the utility of WES data reanalysis for diagnosis in Mendelian disorders and to analyze the cost-effectiveness of this technology compared with a traditional diagnostic pathway.
Methods: WES was applied to a cohort of 54 patients from 37 families with a variety of Mendelian disorders to identify the genetic etiology. Reanalysis was performed after 12 months with an improved WES diagnostic pipeline. A comparison was made between costs of a modeled WES pathway and a traditional diagnostic pathway in a cohort with intellectual disability (ID).
Results: Reanalysis of WES data at 12 months improved diagnostic success from 30 to 41% due to interim publication of disease genes, expanded phenotype data from referrer, and an improved bioinformatics pipeline. Cost analysis on the ID cohort showed average cost savings of US$586 (AU$782) for each additional diagnosis.
Conclusion: Early application of WES in Mendelian disorders is cost-effective and reanalysis of an undiagnosed individual at a 12-month time point increases total diagnoses by 11%.
| Original language | English |
|---|---|
| Pages (from-to) | 1564-1574 |
| Number of pages | 11 |
| Journal | Genetics in medicine : official journal of the American College of Medical Genetics |
| Volume | 20 |
| Issue number | 12 |
| Early online date | 29 Mar 2018 |
| DOIs | |
| Publication status | Published - 1 Dec 2018 |
| Externally published | Yes |
Keywords
- cost-effectiveness
- diagnosis
- exome
- genomics
- Mendelian
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Dive into the research topics of 'Whole-exome sequencing reanalysis at 12 months boosts diagnosis and is cost-effective when applied early in Mendelian disorders'. Together they form a unique fingerprint.Impacts
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The Economic and Psychosocial Impact of Caring for families affected by intellectual disability (THE EPIC-ID Study)
Schofield, D. (Participant), Shrestha, R. (Participant), Field, M. (Participant), Roscioli, T. (Participant), Mumford, J. (Participant) & West, S. (Participant)
Impact: Health impacts, Society impacts, Policy impacts
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