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More comprehensive forensic genetic marker analyses for accurate human remains identification using massively parallel DNA sequencing

BACKGROUND: Although the primary objective of forensic DNA analyses of unidentified human remains is positive identification, cases involving historical or archaeological skeletal remains often lack reference samples for comparison. Massively parallel sequencing (MPS) offers an opportunity to provid...

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Autores principales: Ambers, Angie D., Churchill, Jennifer D., King, Jonathan L., Stoljarova, Monika, Gill-King, Harrell, Assidi, Mourad, Abu-Elmagd, Muhammad, Buhmeida, Abdelbaset, Budowle, Bruce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073988/
https://www.ncbi.nlm.nih.gov/pubmed/27766958
http://dx.doi.org/10.1186/s12864-016-3087-2
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author Ambers, Angie D.
Churchill, Jennifer D.
King, Jonathan L.
Stoljarova, Monika
Gill-King, Harrell
Assidi, Mourad
Abu-Elmagd, Muhammad
Buhmeida, Abdelbaset
Budowle, Bruce
author_facet Ambers, Angie D.
Churchill, Jennifer D.
King, Jonathan L.
Stoljarova, Monika
Gill-King, Harrell
Assidi, Mourad
Abu-Elmagd, Muhammad
Buhmeida, Abdelbaset
Budowle, Bruce
author_sort Ambers, Angie D.
collection PubMed
description BACKGROUND: Although the primary objective of forensic DNA analyses of unidentified human remains is positive identification, cases involving historical or archaeological skeletal remains often lack reference samples for comparison. Massively parallel sequencing (MPS) offers an opportunity to provide biometric data in such cases, and these cases provide valuable data on the feasibility of applying MPS for characterization of modern forensic casework samples. In this study, MPS was used to characterize 140-year-old human skeletal remains discovered at a historical site in Deadwood, South Dakota, United States. The remains were in an unmarked grave and there were no records or other metadata available regarding the identity of the individual. Due to the high throughput of MPS, a variety of biometric markers could be typed using a single sample. RESULTS: Using MPS and suitable forensic genetic markers, more relevant information could be obtained from a limited quantity and quality sample. Results were obtained for 25/26 Y-STRs, 34/34 Y SNPs, 166/166 ancestry-informative SNPs, 24/24 phenotype-informative SNPs, 102/102 human identity SNPs, 27/29 autosomal STRs (plus amelogenin), and 4/8 X-STRs (as well as ten regions of mtDNA). The Y-chromosome (Y-STR, Y-SNP) and mtDNA profiles of the unidentified skeletal remains are consistent with the R1b and H1 haplogroups, respectively. Both of these haplogroups are the most common haplogroups in Western Europe. Ancestry-informative SNP analysis also supported European ancestry. The genetic results are consistent with anthropological findings that the remains belong to a male of European ancestry (Caucasian). Phenotype-informative SNP data provided strong support that the individual had light red hair and brown eyes. CONCLUSIONS: This study is among the first to genetically characterize historical human remains with forensic genetic marker kits specifically designed for MPS. The outcome demonstrates that substantially more genetic information can be obtained from the same initial quantities of DNA as that of current CE-based analyses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3087-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-50739882016-10-27 More comprehensive forensic genetic marker analyses for accurate human remains identification using massively parallel DNA sequencing Ambers, Angie D. Churchill, Jennifer D. King, Jonathan L. Stoljarova, Monika Gill-King, Harrell Assidi, Mourad Abu-Elmagd, Muhammad Buhmeida, Abdelbaset Budowle, Bruce BMC Genomics Research BACKGROUND: Although the primary objective of forensic DNA analyses of unidentified human remains is positive identification, cases involving historical or archaeological skeletal remains often lack reference samples for comparison. Massively parallel sequencing (MPS) offers an opportunity to provide biometric data in such cases, and these cases provide valuable data on the feasibility of applying MPS for characterization of modern forensic casework samples. In this study, MPS was used to characterize 140-year-old human skeletal remains discovered at a historical site in Deadwood, South Dakota, United States. The remains were in an unmarked grave and there were no records or other metadata available regarding the identity of the individual. Due to the high throughput of MPS, a variety of biometric markers could be typed using a single sample. RESULTS: Using MPS and suitable forensic genetic markers, more relevant information could be obtained from a limited quantity and quality sample. Results were obtained for 25/26 Y-STRs, 34/34 Y SNPs, 166/166 ancestry-informative SNPs, 24/24 phenotype-informative SNPs, 102/102 human identity SNPs, 27/29 autosomal STRs (plus amelogenin), and 4/8 X-STRs (as well as ten regions of mtDNA). The Y-chromosome (Y-STR, Y-SNP) and mtDNA profiles of the unidentified skeletal remains are consistent with the R1b and H1 haplogroups, respectively. Both of these haplogroups are the most common haplogroups in Western Europe. Ancestry-informative SNP analysis also supported European ancestry. The genetic results are consistent with anthropological findings that the remains belong to a male of European ancestry (Caucasian). Phenotype-informative SNP data provided strong support that the individual had light red hair and brown eyes. CONCLUSIONS: This study is among the first to genetically characterize historical human remains with forensic genetic marker kits specifically designed for MPS. The outcome demonstrates that substantially more genetic information can be obtained from the same initial quantities of DNA as that of current CE-based analyses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3087-2) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-17 /pmc/articles/PMC5073988/ /pubmed/27766958 http://dx.doi.org/10.1186/s12864-016-3087-2 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Ambers, Angie D.
Churchill, Jennifer D.
King, Jonathan L.
Stoljarova, Monika
Gill-King, Harrell
Assidi, Mourad
Abu-Elmagd, Muhammad
Buhmeida, Abdelbaset
Budowle, Bruce
More comprehensive forensic genetic marker analyses for accurate human remains identification using massively parallel DNA sequencing
title More comprehensive forensic genetic marker analyses for accurate human remains identification using massively parallel DNA sequencing
title_full More comprehensive forensic genetic marker analyses for accurate human remains identification using massively parallel DNA sequencing
title_fullStr More comprehensive forensic genetic marker analyses for accurate human remains identification using massively parallel DNA sequencing
title_full_unstemmed More comprehensive forensic genetic marker analyses for accurate human remains identification using massively parallel DNA sequencing
title_short More comprehensive forensic genetic marker analyses for accurate human remains identification using massively parallel DNA sequencing
title_sort more comprehensive forensic genetic marker analyses for accurate human remains identification using massively parallel dna sequencing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073988/
https://www.ncbi.nlm.nih.gov/pubmed/27766958
http://dx.doi.org/10.1186/s12864-016-3087-2
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