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

Nature Genetics volume 56, pages 1537–1540 (2024)Cite this article

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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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Acknowledgements

Research that informed this publication was supported by NIH grants R01GM121459 and R35GM149323 (J.T.L., K.D.H., A.R.) and NIH grants U24 HG010263 and R35GM144128 (J.T.L.)

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Authors and Affiliations

  1. Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA

    Mary A. Majumder & Amy L. McGuire

  2. Biostatistics Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA

    Jeffrey T. Leek

  3. Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA

    Kasper D. Hansen & Afrooz Razi

  4. Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA

    Kasper D. Hansen

  5. Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA

    Kasper D. Hansen

Authors
  1. Mary A. Majumder
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  2. Jeffrey T. Leek
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  3. Kasper D. Hansen
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  4. Afrooz Razi
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  5. Amy L. McGuire
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Corresponding author

Correspondence to Mary A. Majumder.

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The authors declare no competing interests.

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Nature Genetics thanks Ellen Clayton and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Majumder, M.A., Leek, J.T., Hansen, K.D. et al. Large-scale genotype prediction from RNA sequence data necessitates a new ethical and policy framework. Nat Genet 56, 1537–1540 (2024). https://doi.org/10.1038/s41588-024-01825-4

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