Background: Genomic sequencing of SNPs is increasingly prevalent, though the amount of familial information these data contain has not been quantified. We provide a framework for measuring the risk to siblings of a patient's SNP genotype disclosure, and demonstrate that sibling SNP genotypes can be inferred with substantial accuracy. Results: Extending this inference technique, we determine that a very low number of matches at commonly varying SNPs is sufficient to confirm sib-ship, demonstrating that published sequence data can reliably be used to derive sibling identities. Using HapMap trio data, at SNPs where one child is homozygotic major, with a minor allele frequency ≤ 0.20, (N = 452684, 65.1%) we achieve 91.9% inference accuracy for sibling genotypes. Conclusion: These findings demonstrate that substantial discrimination and privacy risks arise from use of inferred familial genomic data.
Cassa et al. REF provide a framework for measuring the interdependent privacy risks between two siblings.
My sister's keeper?: genomic research and the identifiability of siblings
BMC Medical Genomics
BMC Medical Genomics
Psychology Medicine Biology