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Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarrays

机译:解决使用高密度SNP基因分型微阵列将痕量DNA贡献给高度复杂混合物的个体

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摘要

We use high-density single nucleotide polymorphism (SNP) genotyping microarrays to demonstrate the ability to accurately and robustly determine whether individuals are in a complex genomic DNA mixture. We first develop a theoretical framework for detecting an individual's presence within a mixture, then show, through simulations, the limits associated with our method, and finally demonstrate experimentally the identification of the presence of genomic DNA of specific individuals within a series of highly complex genomic mixtures, including mixtures where an individual contributes less than 0.1% of the total genomic DNA. These findings shift the perceived utility of SNPs for identifying individual trace contributors within a forensics mixture, and suggest future research efforts into assessing the viability of previously sub-optimal DNA sources due to sample contamination. These findings also suggest that composite statistics across cohorts, such as allele frequency or genotype counts, do not mask identity within genome-wide association studies. The implications of these findings are discussed.
机译:我们使用高密度单核苷酸多态性(SNP)基因分型微阵列来证明能够准确而可靠地确定个体是否处于复杂的基因组DNA混合物中。我们首先建立一个检测混合物中个体存在的理论框架,然后通过模拟显示与我们的方法相关的限制,最后通过实验证明在一系列高度复杂的基因组中特定个体​​的基因组DNA的鉴定混合物,包括个体贡献少于总基因组DNA的0.1%的混合物。这些发现改变了SNP在鉴定法医混合物中单个痕迹贡献者方面的效用,并建议未来的研究工作是评估由于样品污染而导致的先前次佳DNA来源的生存能力。这些发现还表明,整个队列的综合统计,例如等位基因频率或基因型计数,不会掩盖全基因组关联研究中的同一性。讨论了这些发现的含义。

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