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Updated: Oct 13, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Functional genomics data: privacy risk assessment and technological mitigation
Gamze Gürsoy1,2, Tianxiao Li1, Susanna Liu3,4
1Computational Biology and Bioinformatics Program, Yale University, New Haven, CT, USA.
Abstract:
The generation of functional genomics data by next-generation sequencing has increased greatly in the past decade. Broad sharing of these data is essential for research advancement but poses notable privacy challenges, some of which are analogous to those that occur when sharing genetic variant data. However, there are also unique privacy challenges that arise from cryptic information leakage during the processing and summarization of functional genomics data from raw reads to derived quantities, such as gene expression values. Here, we review these challenges and present potential solutions for mitigating privacy risks while allowing broad data dissemination and analysis.
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