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Will variants of uncertain significance still exist in 2030?
- Source :
-
American journal of human genetics [Am J Hum Genet] 2024 Jan 04; Vol. 111 (1), pp. 5-10. Date of Electronic Publication: 2023 Dec 11. - Publication Year :
- 2024
-
Abstract
- In 2020, the National Human Genome Research Institute (NHGRI) made ten "bold predictions," including that "the clinical relevance of all encountered genomic variants will be readily predictable, rendering the diagnostic designation 'variant of uncertain significance (VUS)' obsolete." We discuss the prospects for this prediction, arguing that many, if not most, VUS in coding regions will be resolved by 2030. We outline a confluence of recent changes making this possible, especially advances in the standards for variant classification that better leverage diverse types of evidence, improvements in computational variant effect predictor performance, scalable multiplexed assays of variant effect capable of saturating the genome, and data-sharing efforts that will maximize the information gained from each new individual sequenced and variant interpreted. We suggest that clinicians and researchers can realize a future where VUSs have largely been eliminated, in line with the NHGRI's bold prediction. The length of time taken to reach this future, and thus whether we are able to achieve the goal of largely eliminating VUSs by 2030, is largely a consequence of the choices made now and in the next few years. We believe that investing in eliminating VUSs is worthwhile, since their predominance remains one of the biggest challenges to precision genomic medicine.<br />Competing Interests: Declaration of interests H.L.R. is an associate editor for AJHG.<br /> (Copyright © 2023 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
Precision Medicine
Genetic Testing
Genetic Variation
Genomics
Subjects
Details
- Language :
- English
- ISSN :
- 1537-6605
- Volume :
- 111
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- American journal of human genetics
- Publication Type :
- Academic Journal
- Accession number :
- 38086381
- Full Text :
- https://doi.org/10.1016/j.ajhg.2023.11.005