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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

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 o...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer-Verlag 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3631519/
https://www.ncbi.nlm.nih.gov/pubmed/23149900
http://dx.doi.org/10.1007/s00414-012-0788-1
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author 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
author_facet 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
author_sort Keating, Brendan
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00414-012-0788-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-36315192013-04-25 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 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 Int J Legal Med Original Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00414-012-0788-1) contains supplementary material, which is available to authorized users. Springer-Verlag 2012-11-13 2013 /pmc/articles/PMC3631519/ /pubmed/23149900 http://dx.doi.org/10.1007/s00414-012-0788-1 Text en © The Author(s) 2012 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Article
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
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
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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3631519/
https://www.ncbi.nlm.nih.gov/pubmed/23149900
http://dx.doi.org/10.1007/s00414-012-0788-1
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