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. 2014 Dec 10;9(12):e114391.
doi: 10.1371/journal.pone.0114391. eCollection 2014.

Systematic Classification of Disease Severity for Evaluation of Expanded Carrier Screening Panels

Affiliations

Systematic Classification of Disease Severity for Evaluation of Expanded Carrier Screening Panels

Gabriel A Lazarin et al. PLoS One. .

Abstract

Professional guidelines dictate that disease severity is a key criterion for carrier screening. Expanded carrier screening, which tests for hundreds to thousands of mutations simultaneously, requires an objective, systematic means of describing a given disease's severity to build screening panels. We hypothesized that diseases with characteristics deemed to be of highest impact would likewise be rated as most severe, and diseases with characteristics of lower impact would be rated as less severe. We describe a pilot test of this hypothesis in which we surveyed 192 health care professionals to determine the impact of specific disease phenotypic characteristics on perceived severity, and asked the same group to rate the severity of selected inherited diseases. The results support the hypothesis: we identified four "Tiers" of disease characteristics (1-4). Based on these responses, we developed an algorithm that, based on the combination of characteristics normally seen in an affected individual, classifies the disease as Profound, Severe, Moderate, or Mild. This algorithm allows simple classification of disease severity that is replicable and not labor intensive.

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Conflict of interest statement

Competing Interests: The authors study was self-funded by Counsyl, a molecular genetics laboratory that performs carrier screening. All but one author (FH) are currently employed by Counsyl. FH was employed by Counsyl at the time of study design, data collection and data analysis. No other outside funding was provided. This does not alter the authors' adherence to PLOS ONE policies and sharing data and materials.

Figures

Figure 1
Figure 1. Overall study design.
Figure 2
Figure 2. Distribution of disease characteristic severity ratings.
Figure 3
Figure 3. Distribution of disease severity ratings.
Figure 4
Figure 4. Proposed decision algorithm for severity classification.

References

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