Journal article
How should we address the inevitable harms from non-negligent variant reclassification in predictive genetic testing?
Journal of genetic counseling, Vol.32(1), pp.18-30
02/2023
DOI: 10.1002/jgc4.1638
PMCID: PMC10092710
PMID: 36260514
Appears in UI Libraries Support Open Access
Abstract
The process of interpreting genetic variants, in which experts use all available evidence to determine whether an identified variant is associated with a current or future disease, is both scientific and nevertheless subjective. In this paper, we summarize the existing evidence that any given variant could be reclassified and that such a reclassification could lead to harm. Furthermore, the racial gap in genetic databases could lead to a higher likelihood of harm for non-white patients. We also review recent legal analyses indicating it is unlikely that an individual who sues for restitution would be successful, especially in the absence of evidence of lab negligence. We then propose a compensation program for medical genetic tests to ensure that individuals who experience demonstrable harm due to a variant reclassification can be made whole financially. We conclude by discussing outstanding questions that must be answered for such a program to be feasible.
Details
- Title: Subtitle
- How should we address the inevitable harms from non-negligent variant reclassification in predictive genetic testing?
- Creators
- Misha Rashkin - Stanford Health CareKerry Kingham - Stanford Health CareKarlena Lara-Otero - Stanford Hlth Care, 900 Blake Wilbur Dr,4 Floor, Palo Alto, CA 94304 USAMeghan Mckenna - Stanford Health CareJanelle Villiers - Sarah Lawrence CollegeMonty Mykolas Worthington - Stanford UniversityAnya Prince - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of genetic counseling, Vol.32(1), pp.18-30
- Publisher
- Wiley
- DOI
- 10.1002/jgc4.1638
- PMID
- 36260514
- PMCID
- PMC10092710
- ISSN
- 1059-7700
- eISSN
- 1573-3599
- Number of pages
- 13
- Language
- English
- Electronic publication date
- 10/19/2022
- Date published
- 02/2023
- Academic Unit
- Law Faculty
- Record Identifier
- 9984323232002771
Metrics
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