Evidence map›Paper›PMID 27766958›Full record

ArticleBMC genomics2016

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

Angie D Ambers, Jennifer D Churchill, Jonathan L King, Monika Stoljarova, Harrell Gill-King, Mourad Assidi, Muhammad Abu-Elmagd, Abdelbaset Buhmeida, Mohammed Al-Qahtani, Bruce Budowle

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
10.2field-weighted citation impact, top 2% of its field
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

13 citing papers in PubMed, 67 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Angie D AmbersInstitute of Applied Genetics, Department of Molecular and Medical Genetics, University of North, Texas Health Science Center, 3500 Camp Bowie Boulevard, Fort Worth, TX, USA. angie.ambers2@unthsc.edu.
Jennifer D ChurchillInstitute of Applied Genetics, Department of Molecular and Medical Genetics, University of North, Texas Health Science Center, 3500 Camp Bowie Boulevard, Fort Worth, TX, USA.
Jonathan L KingInstitute of Applied Genetics, Department of Molecular and Medical Genetics, University of North, Texas Health Science Center, 3500 Camp Bowie Boulevard, Fort Worth, TX, USA.
Monika StoljarovaInstitute of Applied Genetics, Department of Molecular and Medical Genetics, University of North, Texas Health Science Center, 3500 Camp Bowie Boulevard, Fort Worth, TX, USA.
Harrell Gill-KingDepartment of Biological Sciences, Laboratory of Forensic Anthropology, Center for Human Identification, University of North Texas, 1511 W. Sycamore, Denton, TX, USA.
Mourad AssidiCenter of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia.
Muhammad Abu-ElmagdCenter of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia.
Abdelbaset BuhmeidaCenter of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia.
Mohammed Al-Qahtani
Bruce BudowleInstitute of Applied Genetics, Department of Molecular and Medical Genetics, University of North, Texas Health Science Center, 3500 Camp Bowie Boulevard, Fort Worth, TX, USA. bruce.budowle@unthsc.edu.
King Abdulaziz University · SAUniversity of North Texas · USUniversity of North Texas Health Science Center · USTallinn University of Technology · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough 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.

resultsUsing 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.

conclusionsThis 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.

Indexed as

High-Throughput Nucleotide SequencingSequence Analysis, DNABody RemainsChromosomes, Human, YDNA, MitochondrialForensic GeneticsGenetic MarkersHumansPhenotypeDNA, MitochondrialGenetic MarkersAncestry-informative markers (AIMS)Human skeletal remainsMassively parallel sequencing (MPS)Mitochondrial DNAPhenotype-informative SNPsY-STRs

Identifiers

PMID27766958
PMCPMC5073988
OpenAlexW2532049456

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.