Overcoming collaboration barriers in quantitative trait loci analysis
In this issue of Cell Genomics, Choi et al.<sup>1</sup> report a novel approach, privateQTL, which leverages secure multiparty computation (MPC) to enable federated expression quantitative trait loci (eQTL) mapping across institutions without compromising data privacy. Zhang et al. preview their approach and discuss its application in future genetic analyses.
Authors
- Jing Gong (ORCID: https://orcid.org/0000-0003-1895-2993)
- Wen Zhang (ORCID: https://orcid.org/0009-0003-1808-8741)
- Xiaohong Wu
Institutions
- Huazhong Agricultural University (CN)
Publication Details
- Journal
- Cell Genomics
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1016/j.xgen.2025.100773
- Primary Topic
- Genetic Mapping and Diversity in Plants and Animals
- Type
- article
- Field-Weighted Citation Impact
- 0.00