Large-scale genotype prediction from RNA sequence data necessitates a new ethical and policy framework
Nat Genet
.
2024 Aug;56(8):1537-1540.
doi: 10.1038/s41588-024-01825-4.
Authors
Mary A Majumder
1
,
Jeffrey T Leek
2
,
Kasper D Hansen
3
4
5
,
Afrooz Razi
3
,
Amy L McGuire
6
Affiliations
1
Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA.
[email protected]
.
2
Biostatistics Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
3
Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
4
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
5
Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
6
Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA.
PMID:
39039279
DOI:
10.1038/s41588-024-01825-4
No abstract available
MeSH terms
Genotype*
Humans
RNA / genetics
Sequence Analysis, RNA / methods
Substances
RNA
Grants and funding
R01GM121459/U.S. Department of Health & Human Services | National Institutes of Health (NIH)
R35GM149323/U.S. Department of Health & Human Services | National Institutes of Health (NIH)
U24HG010263/U.S. Department of Health & Human Services | National Institutes of Health (NIH)
R35GM144128/U.S. Department of Health & Human Services | National Institutes of Health (NIH)