A NEXT-GENERATION FRAMEWORK- DECIDING ON THE ROLE OF COSTS IN THE CLINICAL USE OF TARGETED GENE PANELS, EXOME AND GENOME SEQUENCING

Author(s)

van Nimwegen K, van Soest R, Grutters J, Veltman J, Vissers L, van Der Wilt G
Radboud university medical center, Nijmegen, The Netherlands

OBJECTIVES: Clinical use of next-generation sequencing(NGS) techniques has tremendously risen. This is the result of technological advancements and simultaneously decreasing sequencing costs. Although the long-awaited $1,000 genome seems near, a clear and complete overview of the costs of NGS techniques is currently missing. Moreover, it is still  unclear how NGS technologies should be used in clinical practice.  This study assesses the costs associated with three NGS technologies: Targeted gene panels(TGP), whole exome sequencing(WES), and whole genome sequencing(WGS). Additionally, a framework is constructed, balancing costs and diagnostic yield. METHODS: The total costs of TGP, WES and WGS were calculated at the Radboud university medical center. TGP, WES and WGS can be used in various diagnostic workflows in which one test could serve as a pre-test to another. A decision framework was constructed that takes into account the costs and diagnostic yields of various workflows, informing on which workflow is most favourable at what diagnostic yields.  PRELIMINARY RESULTS: The per-sample costs of TGP (€500) are two and five times lower than per-sample costs of WES (€1,000) and WGS (€2,600), respectively. Nevertheless, using it as a pre-test for WES or WGS is only cost-saving if its’ diagnostic yield exceeds 60 or 20%, respectively. Using WES as a pre-test for WGS saves costs when its’ diagnostic yield exceeds 40%.  CONCLUSIONS: This study is the first complete overview of the costs of NGS technologies. Although it is often claimed that the $1,000 genome is near, our study shows that taking into account all direct medical costs associated with NGS, the costs of WGS are still considerably higher. The per-sample costs of TGP, WES and WGS are dependent on several assumptions, such as annual throughput and coverage. To assure transferability of our results, we constructed a flexible framework in which these assumptions can be adapted.

Conference/Value in Health Info

2015-11, ISPOR Europe 2015, Milan, Italy

Value in Health, Vol. 18, No. 7 (November 2015)

Code

PMD45

Topic

Economic Evaluation

Topic Subcategory

Cost-comparison, Effectiveness, Utility, Benefit Analysis

Disease

Rare and Orphan Diseases

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