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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

Overview of attention for article published in International Journal of Legal Medicine, November 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 1,166)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

news
1 news outlet
twitter
6 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
90 Mendeley
Title
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
Published in
International Journal of Legal Medicine, November 2012
DOI 10.1007/s00414-012-0788-1
Pubmed ID
Authors

Brendan Keating, Aruna T. Bansal, Susan Walsh, Jonathan Millman, Jonathan Newman, Kenneth Kidd, Bruce Budowle, Arthur Eisenberg, Joseph Donfack, Paolo Gasparini, Zoran Budimlija, Anjali K. Henders, Hareesh Chandrupatla, David L. Duffy, Scott D. Gordon, Pirro Hysi, Fan Liu, Sarah E. Medland, Laurence Rubin, Nicholas G. Martin, Timothy D. Spector, Manfred Kayser

Abstract

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, 95 % of the samples (N = 3,034) passed quality checks with an overall genotype call rate >90 % 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 ~94 % correct (further support provided by separately inferred patrilineal and matrilineal ancestry). Predictions of eye color were 85 % correct for brown and 70 % correct for blue eyes, and predictions of hair color were 72 % for brown, 63 % for blond, 58 % for black, and 48 % for red hair. From the 5 % of samples (N = 162) with <90 % call rate, 56 % yielded correct continental ancestry predictions while 7 % 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.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Italy 1 1%
Spain 1 1%
Unknown 85 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 28%
Researcher 14 16%
Unspecified 13 14%
Student > Bachelor 10 11%
Other 9 10%
Other 19 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 40%
Unspecified 15 17%
Biochemistry, Genetics and Molecular Biology 13 14%
Medicine and Dentistry 9 10%
Engineering 3 3%
Other 14 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 June 2015.
All research outputs
#1,145,923
of 13,118,852 outputs
Outputs from International Journal of Legal Medicine
#35
of 1,166 outputs
Outputs of similar age
#22,096
of 250,588 outputs
Outputs of similar age from International Journal of Legal Medicine
#3
of 11 outputs
Altmetric has tracked 13,118,852 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,166 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 250,588 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.