» Articles » PMID: 33319814

Clinical Utility of Genomic Sequencing: a Measurement Toolkit

Overview
Journal NPJ Genom Med
Specialty Genetics
Date 2020 Dec 15
PMID 33319814
Citations 25
Authors
Affiliations
Soon will be listed here.
Abstract

Whole-genome sequencing (WGS) is positioned to become one of the most robust strategies for achieving timely diagnosis of rare genomic diseases. Despite its favorable diagnostic performance compared to conventional testing strategies, routine use and reimbursement of WGS are hampered by inconsistencies in the definition and measurement of clinical utility. For example, what constitutes clinical utility for WGS varies by stakeholder's perspective (physicians, patients, families, insurance companies, health-care organizations, and society), clinical context (prenatal, pediatric, critical care, adult medicine), and test purpose (diagnosis, screening, treatment selection). A rapidly evolving technology landscape and challenges associated with robust comparative study design in the context of rare disease further impede progress in this area of empiric research. To address this challenge, an expert working group of the Medical Genome Initiative was formed. Following a consensus-based process, we align with a broad definition of clinical utility and propose a conceptually-grounded and empirically-guided measurement toolkit focused on four domains of utility: diagnostic thinking efficacy, therapeutic efficacy, patient outcome efficacy, and societal efficacy. For each domain of utility, we offer specific indicators and measurement strategies. While we focus on diagnostic applications of WGS for rare germline diseases, this toolkit offers a flexible framework for best practices around measuring clinical utility for a range of WGS applications. While we expect this toolkit to evolve over time, it provides a resource for laboratories, clinicians, and researchers looking to characterize the value of WGS beyond the laboratory.

Citing Articles

Implementation of a Kidney Genetic Service Into the Diagnostic Pathway for Patients With Chronic Kidney Disease in Canada.

Schott C, Arnaldi M, Baker C, Wang J, McIntyre A, Colaiacovo S Kidney Int Rep. 2025; 10(2):574-590.

PMID: 39990878 PMC: 11843117. DOI: 10.1016/j.ekir.2024.11.004.


Applications of genome sequencing as a single platform for clinical constitutional genetic testing.

Yang Y, Del Gaudio D, Santani A, Scott S Genet Med Open. 2025; 2():101840.

PMID: 39822265 PMC: 11736070. DOI: 10.1016/j.gimo.2024.101840.


Next-generation variant exon screening: Moving forward in routine genetic disease investigations.

Wang C, Shi P, Liang H, Cram D, Leigh D, Kong X Genet Med Open. 2024; 2:101816.

PMID: 39669605 PMC: 11613558. DOI: 10.1016/j.gimo.2024.101816.


Real-world assessment of comprehensive genome profiling impact on clinical outcomes: A single-institution study in Japan.

Kunimasa K, Sugimoto N, Yamasaki T, Kukita Y, Fujisawa F, Inoue T Cancer Med. 2024; 13(18):e70249.

PMID: 39315676 PMC: 11420830. DOI: 10.1002/cam4.70249.


The impact of clinical genome sequencing in a global population with suspected rare genetic disease.

Thorpe E, Williams T, Shaw C, Chekalin E, Ortega J, Robinson K Am J Hum Genet. 2024; 111(7):1271-1281.

PMID: 38843839 PMC: 11267518. DOI: 10.1016/j.ajhg.2024.05.006.


References
1.
Spitzer R, Kroenke K, Williams J, Lowe B . A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006; 166(10):1092-7. DOI: 10.1001/archinte.166.10.1092. View

2.
Bick D, Jones M, Taylor S, Taft R, Belmont J . Case for genome sequencing in infants and children with rare, undiagnosed or genetic diseases. J Med Genet. 2019; 56(12):783-791. PMC: 6929710. DOI: 10.1136/jmedgenet-2019-106111. View

3.
Lewis C, Sanderson S, Hill M, Patch C, Searle B, Hunter A . Parents' motivations, concerns and understanding of genome sequencing: a qualitative interview study. Eur J Hum Genet. 2020; 28(7):874-884. PMC: 7316711. DOI: 10.1038/s41431-020-0575-2. View

4.
Furlong W, Feeny D, Torrance G, Barr R . The Health Utilities Index (HUI) system for assessing health-related quality of life in clinical studies. Ann Med. 2001; 33(5):375-84. DOI: 10.3109/07853890109002092. View

5.
Mitchell P, Ziniel S, Savage S, Christensen K, Weitzman E, Green R . Enhancing Autonomy in Biobank Decisions: Too Much of a Good Thing?. J Empir Res Hum Res Ethics. 2018; 13(2):125-138. PMC: 8793343. DOI: 10.1177/1556264617753483. View