Center for Medical Ethics and Health Policy Staff Publications
Language
English
Publication Date
8-1-2024
Journal
Nature Genetics
DOI
10.1038/s41588-024-01825-4
PMID
39039279
PMCID
PMC11938814
PubMedCentral® Posted Date
3-26-2025
PubMedCentral® Full Text Version
Author MSS
Abstract
Genotype prediction from RNA-seq data has become widespread. RNA-seq data, unlike DNA-seq data, are available as raw reads for many projects, with related protocols and consent terms typically inaccessible. However, there is a lack of clarity in current policy and inconsistency in practice with regard to the handling of these data. Here, we call for a framework for management of RNA-seq data and the predicted genotypes that includes registered access for RNA-seq data, controlled access for predicted genotypes, and a code of conduct for data access and use, as well as enhanced downstream protections.
Keywords
Humans, Genotype, Sequence Analysis, RNA, RNA
Published Open-Access
yes
Recommended Citation
Majumder, Mary A; Leek, Jeffrey T; Hansen, Kasper D; et al., "Large-Scale Genotype Prediction From RNA Sequence Data Necessitates a New Ethical and Policy Framework" (2024). Center for Medical Ethics and Health Policy Staff Publications. 278.
https://digitalcommons.library.tmc.edu/med_ethics/278