On the privacy risks of sharing clinical proteomics data.
Although the privacy issues in human genomic studies are well known, the privacy risks in clinical proteomic data have not been thoroughly studied. As a proof of concept, we reported a comprehensive analysis of the privacy risks in clinical proteomic data. It showed that a small number of peptides carrying the minor alleles (referred to as the minor allelic peptides) at non-synonymous single nucleotide polymorphism (nsSNP) sites can be identified in typical clinical proteomic datasets acquired from the blood/serum samples of individual patient, from which the patient can be identified with high confidence. Our results suggested the presence of significant privacy risks in raw clinical proteomic data. However, these risks can be mitigated by a straightforward pre-processing step of the raw data that removing a very small fraction (0.1%, 7.14 out of 7,504 spectra on average) of MS/MS spectra identified as the minor allelic peptides, which has little or no impact on the subsequent analysis (and re-use) of these datasets.
School of Informatics and Computing, Indiana University, Bloomington, IN, USA.
Sujun
S
Li
Department of Computer Science and Engineering, University of California, San Diego, CA, USA.
Nuno
N
Bandeira
School of Informatics and Computing, Indiana University, Bloomington, IN, USA.
Xiaofeng
X
Wang
School of Informatics and Computing, Indiana University, Bloomington, IN, USA.
Haixu
H
Tang