Evidence map›Paper›PMID 37306739›Full record

ArticleInternational journal of legal medicine2023

Diagnostic models to predict nuclear DNA and mitochondrial DNA recovery from incinerated teeth.

Rabiah A Rahmat, Melissa A Humphries, Nor A Saedon, Peter G Self, Adrian M T Linacre

Abstract read
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In one paragraph

Article in International journal of legal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
  2. Age estimation from DNA methylation in sectioned pulp-free teeth.International journal of legal medicine · 2026
    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

5 authors at 4 institutions in 2 countries.

Rabiah A RahmatDepartment of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, 50603, Malaysia. rabiahadaw@um.edu.my.ORCID http://orcid.org/0000-0002-4419-683X
Melissa A HumphriesSchool and Mathematical Sciences, The University of Adelaide, Adelaide, South Australia, 5006, Australia.ORCID https://orcid.org/0000-0002-0473-7611
Nor A SaedonForensic DNA Division, Forensic Science Analysis Centre, Department of Chemistry, Selangor, 46661, Malaysia.
Peter G SelfCSIRO, Land and Water, Locked Bag 2, Glen Osmond, South Australia, 5064, Australia.ORCID https://orcid.org/0000-0002-1463-0375
Adrian M T LinacreCollege of Science and Engineering, Flinders University, Adelaide, South Australia, 5042, Australia.ORCID https://orcid.org/0000-0001-5890-5548
ARC Centre of Excellence for Mathematical and Statistical Frontiers · AUCSIRO Land and Water · AUFlinders University · AUUniversity of Malaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Teeth are frequently used for human identification from burnt remains, as the structure of a tooth is resilient against heat exposure. The intricate composition of hydroxyapatite (HA) mineral and collagen in teeth favours DNA preservation compared to soft tissues. Regardless of the durability, the integrity of the DNA structure in teeth can still be disrupted when exposed to heat. Poor DNA quality can negatively affect the success of DNA analysis towards human identification. The process of isolating DNA from biological samples is arduous and costly. Thus, an informative pre-screening method that could aid in selecting samples that can potentially yield amplifiable DNA would be of excellent value. A multiple linear regression model to predict the DNA content in incinerated pig teeth was developed based on the colourimetry, HA crystallite size and quantified nuclear and mitochondrial DNA. The chromaticity a* was found to be a significant predictor of the regression model. This study outlines a method to predict the viability of extracting nuclear and mitochondrial DNA from pig teeth that were exposed to a wide range of temperatures (27 to 1000 °C) with high accuracy (99.5-99.7%).

Indexed as

DNA, MitochondrialToothAnimalsCell NucleusColorimetryHot TemperatureHumansSwineDNA, MitochondrialForensic scienceIncinerated teethLinear regression modelMitochondrial DNANuclear DNAQuantitative polymerase chain reaction

Identifiers

PMID37306739
OpenAlexW4380290507

What OpenQuestion holds

Textmetadata
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.