Evidence map›Paper›PMID 33532721›Full record

ArticleForensic science international. Synergy2021

Improved autosomal STR typing of degraded femur samples extracted using a custom demineralization buffer and DNA IQ™.

Gayvelline C Calacal, Bea G Gallardo, Dame Loveliness T Apaga, Maria Corazon A De Ungria

Abstract read
In one paragraph

Article in Forensic science international. Synergy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Gayvelline C CalacalDNA Analysis Laboratory, Natural Sciences Research Institute, Miranda Hall, University of the Philippines, Diliman, 1101, Quezon City, Philippines.
Bea G GallardoDNA Analysis Laboratory, Natural Sciences Research Institute, Miranda Hall, University of the Philippines, Diliman, 1101, Quezon City, Philippines.
Dame Loveliness T ApagaDNA Analysis Laboratory, Natural Sciences Research Institute, Miranda Hall, University of the Philippines, Diliman, 1101, Quezon City, Philippines.
Maria Corazon A De UngriaDNA Analysis Laboratory, Natural Sciences Research Institute, Miranda Hall, University of the Philippines, Diliman, 1101, Quezon City, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone samples are utilized as a source of DNA in disaster victim identification and human remains investigations. However, DNA recovery from bones is time consuming and prone to contamination. A logical approach for postmortem identification is to validate efficient DNA extraction methods requiring less bone material using improved molecular kits with less hands-on time and workflows that facilitate faster turn-around time for processing. In this study, we evaluated DNA yield and amplification efficiency of DNA extracts using a new custom bone demineralization buffer (DMB; Promega) and extracted via manual and automated DNA IQ™ workflows. Including the demineralization step, the bone protocol can be completed in ∼4 h and even less with minimal sample handling when automated. Overall, a rapid and simple DNA extraction with improved allele recovery was validated using degraded bone samples exposed to tropical environments and post-disaster recovery as well as adverse conditions of embalming prior to internment.

Indexed as

AutomationAutosomal STRBoneDemineralizationDNA extractionForensic

Identifiers

PMID33532721
PMCPMC7829153

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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.