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Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
Published on: August 25, 2019
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Can we afford to sequence every newborn baby's genome?
1Clinical Bioinformatics, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Human Mutation
|December 30, 2014
Summary
Widespread population screening using whole-exome and whole-genome sequencing is currently unrealistic. High costs of data interpretation and returning genomic information threaten healthcare systems without new cost-effective methods.
Area of Science:
- Genomics
- Healthcare Economics
- Clinical Genetics
Background:
- Whole-exome sequencing (WES) and whole-genome sequencing (WGS) are increasingly used in clinical settings.
- Decreasing sequencing costs prompt consideration of population-wide genomic screening.
- Current cost analyses often overlook interpretation and results return expenses.
Purpose of the Study:
- To evaluate the feasibility of widespread population genomic screening.
- To identify the economic challenges associated with large-scale WES and WGS implementation.
- To argue against the current practicality of population genomic screening.
Main Methods:
- Critical analysis of existing cost-effectiveness models for genomic sequencing.
- Review of the logistical and economic implications of genomic data interpretation.
- Assessment of the challenges in returning genomic information to individuals.
Main Results:
- Cost estimates for WES and WGS frequently underestimate the expenses of accurate data interpretation.
- The process of effectively returning genomic information to individuals presents significant, unaddressed costs.
- Current resources are insufficient for the widespread generalization of population genomic screening.
Conclusions:
- The optimism for broad population genomic screening is currently unfounded.
- Significant advancements in cost-effective interpretation and results return are necessary before widespread implementation.
- Without such advancements, population genomic screening risks overwhelming healthcare systems.
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