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Unsolved challenges of clinical whole-exome sequencing: a systematic literature review of end-users’ views | BMC Medical Genomics | Full Text

Unsolved challenges of clinical whole-exome sequencing: a systematic literature review of end-users’ views | BMC Medical Genomics | Full Text
Biomed Central

BMC Medical Genomics

Unsolved challenges of clinical whole-exome sequencing: a systematic literature review of end-users’ views

BMC Medical GenomicsBMC series – open, inclusive and trusted20169:52
DOI: 10.1186/s12920-016-0213-6
Received: 15 February 2016
Accepted: 28 July 2016
Published: 11 August 2016

Abstract

Background

Whole-exome sequencing (WES) consists in the capture, sequencing and analysis of all exons in the human genome. Originally developed in the research context, this technology is now increasingly used clinically to inform patient care. The implementation of WES into healthcare poses significant organizational, regulatory, and ethical hurdles, which are widely discussed in the literature.

Methods

In order to inform future policy decisions on the integration of WES into standard clinical practice, we performed a systematic literature review to identify the most important challenges directly reported by technology users.

Results

Out of 2094 articles, we selected and analyzed 147 which reported a total of 23 different challenges linked to the production, analysis, reporting and sharing of patients’ WES data. Interpretation of variants of unknown significance, incidental findings, and the cost and reimbursement of WES-based tests were the most reported challenges across all articles.

Conclusions

WES is already used in the clinical setting, and may soon be considered the standard of care for specific medical conditions. Yet, technology users are calling for certain standards and guidelines to be published before this technology replaces more focused approaches such as gene panels sequencing. In addition, a number of infrastructural adjustments will have to be made for clinics to store, process and analyze the amounts of data produced by WES.

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