Homer Nils, Szelinger Szabolcs, Redman Margot, Duggan David, Tembe Waibhav, Muehling Jill, Pearson John V, Stephan Dietrich A, Nelson Stanley F, Craig David W
Translational Genomics Research Institute, Phoenix, Arizona, United States of America.
PLoS Genet. 2008 Aug 29;4(8):e1000167. doi: 10.1371/journal.pgen.1000167.
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.
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准确且可靠地确定个体是否处于复杂基因组DNA混合物中的能力。我们首先建立了一个用于检测混合物中个体存在的理论框架,然后通过模拟展示了我们方法的局限性,最后通过实验证明了在一系列高度复杂的基因组混合物中识别特定个体基因组DNA的存在,包括个体在总基因组DNA中贡献小于0.1%的混合物。这些发现改变了人们对SNP用于识别法医混合物中个体微量贡献者的效用的认知,并建议未来开展研究,评估由于样本污染而先前认为不理想的DNA来源的可行性。这些发现还表明,跨队列的综合统计数据,如等位基因频率或基因型计数,不会在全基因组关联研究中掩盖个体身份。我们讨论了这些发现的意义。