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.
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NHGRI, NIH, Bethesda, MD 20892 USA
Tel Aviv Univ, Edmond & Lily Safra Childrens Hosp, Sheba Med Ctr, IL-69978 Tel Aviv, Israel
Tel Aviv Univ, Sackler Sch Med, IL-69978 Tel Aviv, IsraelNHGRI, NIH, Bethesda, MD 20892 USA
Anikster, Yair
Adams, David R.
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NHGRI, NIH, Bethesda, MD 20892 USA
NIH, NIH Undiag Dis Program, Off Director, Bethesda, MD 20892 USANHGRI, NIH, Bethesda, MD 20892 USA
Adams, David R.
Gahl, William A.
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NHGRI, NIH, Bethesda, MD 20892 USA
NIH, NIH Undiag Dis Program, Off Director, Bethesda, MD 20892 USANHGRI, NIH, Bethesda, MD 20892 USA
Gahl, William A.
Boerkoel, Cornelius F.
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NIH, NIH Undiag Dis Program, Off Director, Bethesda, MD 20892 USANHGRI, NIH, Bethesda, MD 20892 USA