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

• Published in: Nature 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
• Language: English
• 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

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...