Design and reporting considerations for genetic screening tests

MDisrupt, San Jose, California, United States
Veritas Genetics, Danvers, Massachusettes, United States
Perkin Elmer Genomics, Branford, Connecticut, United States
Progenity, Ann Arbor, Michigan, United States
Department of `Pathology and Laboratory Medicine, Mayo Clinic, Rochester, Minnesota, United States
Laboratory for Molecular Medicine at Partners HealthCare, Boston, Massachusettes, United States
Geisinger Genomic Medicine Institute, Danville, Pennsylvania, United States
HudsonAlpha Institute of Biotechnology, Huntsville, Alabama, United States
DOI
10.7287/peerj.preprints.27922v4
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
Hagenkord J, Funke B, Qian E, Hegde M, Jacobs KB, Ferber M, Lebo M, Buchanan AH, Bick D. 2019. Design and reporting considerations for genetic screening tests. PeerJ Preprints 7:e27922v4

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 automatic rounding errors in Table 2.