Evidence map›Paper›PMID 37239354›Full record

ArticleGenes2023

Evaluating the Usefulness of Human DNA Quantification to Predict DNA Profiling Success of Historical Bone Samples.

Jacqueline Tyler Thomas, Courtney Cavagnino, Katelyn Kjelland, Elise Anderson, Kimberly Sturk-Andreaggi, Jennifer Daniels-Higginbotham, Christina Amory, Brian Spatola, Kimberlee Moran, Walther Parson and 1 more

Abstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
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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

11 authors.

Jacqueline Tyler ThomasArmed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, Dover, DE 19902, USA.
Courtney CavagninoArmed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, Dover, DE 19902, USA.
Katelyn KjellandArmed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, Dover, DE 19902, USA.
Elise AndersonArmed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, Dover, DE 19902, USA.
Kimberly Sturk-AndreaggiArmed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, Dover, DE 19902, USA.ORCID 0000-0001-6857-923X
Jennifer Daniels-HigginbothamArmed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, Dover, DE 19902, USA.
Christina AmoryInstitute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria.
Brian SpatolaNational Museum of Health and Medicine, Anatomical Division, Defense Health Agency, Silver Spring, MD 20910, USA.
Kimberlee MoranForensic Science Program, Department of Chemistry, Rutgers University-Camden, Camden, NJ 08102, USA.ORCID 0000-0002-8507-1646
Walther ParsonInstitute of Legal Medicine, Medical University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0002-5692-2392
Charla MarshallArmed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, Dover, DE 19902, USA.ORCID 0000-0002-8495-1748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study assessed the usefulness of DNA quantification to predict the success of historical samples when analyzing SNPs, mtDNA, and STR targets. Thirty burials from six historical contexts were utilized, ranging in age from 80 to 800 years postmortem. Samples underwent library preparation and hybridization capture with two bait panels (FORCE and mitogenome), and STR typing (autosomal STR and Y-STR). All 30 samples generated small (~80 bp) autosomal DNA target qPCR results, despite mean mappable fragments ranging from 55-125 bp. The qPCR results were positively correlated with DNA profiling success. Samples with human DNA inputs as low as 100 pg resulted in ≥80% FORCE SNPs at 10X coverage. All 30 samples resulted in mitogenome coverage ≥100X despite low human DNA input (as low as 1 pg). With PowerPlex Fusion, ≥30 pg human DNA input resulted in >40% of auSTR loci. At least 59% of Y-STR loci were recovered with Y-target qPCR-based inputs of ≥24 pg. The results also indicate that human DNA quantity is a better predictor of success than the ratio of human to exogenous DNA. Accurate quantification with qPCR is feasible for historical bone samples, allowing for the screening of extracts to predict the success of DNA profiling.

Indexed as

DNA FingerprintingMicrosatellite RepeatsBone and BonesDNA, MitochondrialHumansPolymorphism, Single NucleotideDNA, Mitochondrialancient DNAforensic DNAmassively parallel sequencingmtDNAnext generation sequencingqPCRSNPSTR typing

Identifiers

PMID37239354
PMCPMC10218391

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Registered trials

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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.