When a forensic DNA sample cannot be associated directly with a previously genotyped reference sample by standard short tandem repeat profiling, the investigation required for identifying perpetrators, victims, or missing persons can be both costly and time consuming. Here, we describe the outcome of a collaborative study using the Identitas Version 1 (v1) Forensic Chip, the first commercially available all-in-one tool dedicated to the concept of developing intelligence leads based on DNA. The chip allows parallel interrogation of 201,173 genome-wide autosomal, X-chromosomal, Y-chromosomal, and mitochondrial single nucleotide polymorphisms for inference of biogeographic ancestry, appearance, relatedness, and sex. The first assessment of the chip's performance was carried out on 3,196 blinded DNA samples of varying quantities and qualities, covering a wide range of biogeographic origin and eye/hair coloration as well as variation in relatedness and sex. Overall, 95Â % of the samples (N = 3,034) passed quality checks with an overall genotype call rate >90Â % on variable numbers of available recorded trait information. Predictions of sex, direct match, and first to third degree relatedness were highly accurate. Chip-based predictions of biparental continental ancestry were on average ~94Â % correct (further support provided by separately inferred patrilineal and matrilineal ancestry). Predictions of eye color were 85Â % correct for brown and 70Â % correct for blue eyes, and predictions of hair color were 72Â % for brown, 63Â % for blond, 58Â % for black, and 48Â % for red hair. From the 5Â % of samples (N = 162) with <90Â % call rate, 56Â % yielded correct continental ancestry predictions while 7Â % yielded sufficient genotypes to allow hair and eye color prediction. Our results demonstrate that the Identitas v1 Forensic Chip holds great promise for a wide range of applications including criminal investigations, missing person investigations, and for national security purposes.
First all-in-one diagnostic tool for DNA intelligence: genome-wide inference of biogeographic ancestry, appearance, relatedness, and sex with the Identitas v1 Forensic Chip.
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作者:Keating Brendan, Bansal Aruna T, Walsh Susan, Millman Jonathan, Newman Jonathan, Kidd Kenneth, Budowle Bruce, Eisenberg Arthur, Donfack Joseph, Gasparini Paolo, Budimlija Zoran, Henders Anjali K, Chandrupatla Hareesh, Duffy David L, Gordon Scott D, Hysi Pirro, Liu Fan, Medland Sarah E, Rubin Laurence, Martin Nicholas G, Spector Timothy D, Kayser Manfred
| 期刊: | International Journal of Legal Medicine | 影响因子: | 2.300 |
| 时间: | 2013 | 起止号: | 2013 May;127(3):559-72 |
| doi: | 10.1007/s00414-012-0788-1 | ||
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