Literature DB >> 32092541

Design and Reporting Considerations for Genetic Screening Tests.

Jill Hagenkord1, Birgit Funke2, Emily Qian3, Madhuri Hegde4, Kevin B Jacobs5, Matthew Ferber6, Matthew Lebo7, Adam Buchanan8, David Bick9.   

Abstract

Testing asymptomatic individuals for unsuspected conditions is not new to the medical and public health communities. 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 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 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. Herein, we review basic test design principles and apply them to genetic screening.
Copyright © 2020 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2020        PMID: 32092541     DOI: 10.1016/j.jmoldx.2020.01.014

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  6 in total

1.  Developing a National Newborn Genomes Program: An Approach Driven by Ethics, Engagement and Co-design.

Authors:  Amanda Pichini; Arzoo Ahmed; Christine Patch; David Bick; Mathilde Leblond; Dalia Kasperaviciute; Dasha Deen; Simon Wilde; Sofia Garcia Noriega; Christella Matoko; Alice Tuff-Lacey; Chris Wigley; Richard H Scott
Journal:  Front Genet       Date:  2022-05-30       Impact factor: 4.772

2.  Next-generation sequencing for constitutional variants in the clinical laboratory, 2021 revision: a technical standard of the American College of Medical Genetics and Genomics (ACMG).

Authors:  Catherine Rehder; Lora J H Bean; David Bick; Elizabeth Chao; Wendy Chung; Soma Das; Julianne O'Daniel; Heidi Rehm; Vandana Shashi; Lisa M Vincent
Journal:  Genet Med       Date:  2021-04-29       Impact factor: 8.822

3.  Genetic counseling for patients with positive genomic screening results: Considerations for when the genetic test comes first.

Authors:  Marci L B Schwartz; Adam H Buchanan; Miranda L G Hallquist; Christopher M Haggerty; Amy C Sturm
Journal:  J Genet Couns       Date:  2021-03-31       Impact factor: 2.717

4.  Newborn Screening by Genomic Sequencing: Opportunities and Challenges.

Authors:  David Bick; Arzoo Ahmed; Dasha Deen; Alessandra Ferlini; Nicolas Garnier; Dalia Kasperaviciute; Mathilde Leblond; Amanda Pichini; Augusto Rendon; Aditi Satija; Alice Tuff-Lacey; Richard H Scott
Journal:  Int J Neonatal Screen       Date:  2022-07-15

5.  DNA-based screening and personal health: a points to consider statement for individuals and health-care providers from the American College of Medical Genetics and Genomics (ACMG).

Authors:  Lora J H Bean; Maren T Scheuner; Michael F Murray; Leslie G Biesecker; Robert C Green; Kristin G Monaghan; Glenn E Palomaki; Richard R Sharp; Tracy L Trotter; Michael S Watson; Cynthia M Powell
Journal:  Genet Med       Date:  2021-03-31       Impact factor: 8.822

6.  A study of elective genome sequencing and pharmacogenetic testing in an unselected population.

Authors:  Meagan Cochran; Kelly East; Veronica Greve; Melissa Kelly; Whitley Kelley; Troy Moore; Richard M Myers; Katherine Odom; Molly C Schroeder; David Bick
Journal:  Mol Genet Genomic Med       Date:  2021-07-27       Impact factor: 2.183

  6 in total

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