Design and reporting considerations for genetic screening tests
- Published
- Accepted
- Subject Areas
- Genetics, Genomics, Public Health, Medical Genetics
- Keywords
- genetic screening, epidemiologic methods, clinical validity, positive predictive value, clinical test validation, population screening, genomics
- Copyright
- © 2019 Hagenkord et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2019. Design and reporting considerations for genetic screening tests. PeerJ Preprints 7:e27922v3 https://doi.org/10.7287/peerj.preprints.27922v3
Abstract
Testing asymptomatic individuals for unsuspected conditions is not new to the medical and public health communities and protocols to develop screening tests are well-established. However, the application of screening principles to inherited diseases presents unique challenges. Unlike most screening tests, the natural history and disease prevalence of most rare inherited diseases in an unselected population are unknown. It is difficult or impossible to obtain a “truth set” cohort for clinical validation studies. As a result, it is not possible to accurately calculate clinical positive and negative predictive values for “likely pathogenic” genetic variants, which are commonly returned in genetic screening assays. In addition, many of the genetic conditions included in screening panels do not have clinical confirmatory tests. All of these elements are typically required to justify the development of a screening test, according to the World Health Organization screening principles. Nevertheless, as the cost of DNA sequencing continues to fall, more individuals are opting to undergo genomic testing in the absence of a clinical indication. Despite the challenges, reasonable estimates can be deduced and used to inform test design strategies. Here, we review test design principles and apply them to genetic screening.
Author Comment
Corrected Table 3. The last row was automatically rounded up from 99.99% to 100%. This version reflects the correct value of 99.99%.