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. Author manuscript; available in PMC: 2021 Sep 2.
Published in final edited form as: Proc ACM Workshop Priv Electron Soc. 2020 Nov 9;2020:163–179. doi: 10.1145/3411497.3420214

Table 5:

Relationship between the privacy parameter (ϵ) and the privacy (average estimation error for the sensitive SNPs of the parents) for different correlation models when we also consider kin genomic privacy. Using the shared SNPs of the donor, we compute the attacker’s estimation error for all sensitive SNPs of the donor’s parents. t is the order of the Markov chain.

ϵ

0.1 0.2 0.5 1
t = 1 with kinship 0.5620 0.5629 0.5605 0.5534
t = 1 without kinship 0.4859 0.4833 0.4798 0.4775
t = 4 with kinship 0.6554 0.6430 0.6296 0.6228
t = 4 without kinship 0.5265 0.5124 0.4964 0.4897