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

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背景:SNP的基因组测序越来越普遍,尽管这些数据所包含的家族信息量尚未量化。
方法:我们提供了一个框架来衡量患者的SNP基因型披露的同胞风险,并证明同胞SNP基因型可以相当准确地推断出来。
结果:通过扩展这种推断技术,我们确定在通常变化的SNP处,非常少的匹配项足以确认同胞关系,这表明已发布的序列数据可以可靠地用于推导同胞身份。使用HapMap三重组数据,在一个孩子是纯合子大家庭且次要等位基因频率结论:这些发现表明,使用推断的家族基因组数据会产生实质性的歧视和隐私风险。

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