Evidence map›Paper›PMID 23149900›Full record

ArticleInternational journal of legal medicine2013

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.

Brendan Keating, Aruna T Bansal, Susan Walsh, Jonathan Millman, Jonathan Newman, Kenneth Kidd, Bruce Budowle, Arthur Eisenberg, Joseph Donfack, Paolo Gasparini and 13 more

Abstract readEvaluation Study
In one paragraph

Article in International journal of legal medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Facial Genetics: A Brief Overview.Frontiers in genetics · 2018
    Review
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Brendan KeatingThe University of Pennsylvania, Office 1016, Abramson Building, 3615 Civic Center Bvld., Philadelphia, PA 19104-4399, USA. bkeating@mail.med.upenn.edu
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
International Visible Trait Genetics (VisiGen) Consortium

Funding

Wellcome Trust
6 · The paper itself

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.

Indexed as

Genome-Wide Association StudyDNA FingerprintingEye ColorFeasibility StudiesFemaleForensic GeneticsHair ColorHumansLogistic ModelsMaleMultivariate AnalysisPhenotypePolymorphism, Single NucleotideRacial GroupsSensitivity and SpecificitySex

Identifiers

PMID23149900
PMCPMC3631519

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.