[HTML][HTML] My sister's keeper?: genomic research and the identifiability of siblings
Abstract 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 …
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 …
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 ≤ 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.
Springer
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