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Background: Genomic sequencing of SNPs is increasingly prevalent, though the amount of familial information these data contain has not been quantified. Methods: 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 \(\geq 0.20\), \((N = 452684, 65.1\%)\) 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.