Large-scale genotype prediction from RNA sequence data necessitates a new ethical and policy framework

Genotype prediction from RNA sequencing (RNA-seq) data has become widespread, but there is a lack of clarity in current policy and inconsistency in data handling. To address this we call for a framework consisting of registered access for RNA-seq data, controlled access for genotypes, a code of cond...

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Bibliographic Details
Published inNature genetics Vol. 56; no. 8; pp. 1537 - 1540
Main Authors Majumder, Mary A., Leek, Jeffrey T., Hansen, Kasper D., Razi, Afrooz, McGuire, Amy L.
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.08.2024
Nature Publishing Group
Subjects
631/208/191
692/308/2056
Accountability
Agriculture
Animal Genetics and Genomics
Archives & records
Biomedical and Life Sciences
Biomedicine
Cancer Research
Comment
Datasets
DNA microarrays
Gene expression
Gene Function
Genomic analysis
Genomics
Genotype
Genotype & phenotype
Genotypes
Health Insurance Portability & Accountability Act 1996-US
Human Genetics
Human subjects
Humans
Identification
Information sharing
Insurance
Nucleotide sequence
Portability
Privacy
RNA - genetics
Sequence Analysis, RNA - methods
Single-nucleotide polymorphism
Statistical analysis
United States > US
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Summary:Genotype prediction from RNA sequencing (RNA-seq) data has become widespread, but there is a lack of clarity in current policy and inconsistency in data handling. To address this we call for a framework consisting of registered access for RNA-seq data, controlled access for genotypes, a code of conduct and enhanced downstream protections.
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M.A.M., A.L.M., J.T.L., and K.D.H. contributed to conceptualization of the paper. M.A.M. wrote the original draft. M.A.M., A.L.M., J.T.L., K.D.H., and A.R. reviewed and edited the manuscript.
Author contributions
ISSN:1061-4036
1546-1718
1546-1718
DOI:10.1038/s41588-024-01825-4