Evidence map›Paper›PMID 40428332›Full record

ArticleGenes2025

Facing the Unknown: Integration of Skeletal Traits, Genetic Information and Forensic Facial Approximation.

Joe Adserias-Garriga, Francisco Medina-Paz, Jorge Molina, Sara C Zapico

Abstract read
In one paragraph

Article in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Joe Adserias-GarrigaDepartment of Applied Forensic Sciences, Mercyhurst University, 501 East 38th Street, Erie, PA 16546, USA.
Francisco Medina-PazDepartment of Chemistry and Environmental Science, New Jersey Institute of Technology, 161 Warren St., Newark, NJ 07102, USA.ORCID 0000-0002-8714-2962
Jorge MolinaTexas Department of Public Safety, 5805 North Lamar Blvd, Austin, TX 78752, USA.
Sara C ZapicoDepartment of Chemistry and Environmental Science, New Jersey Institute of Technology, 161 Warren St., Newark, NJ 07102, USA.ORCID 0000-0002-3605-5690

Funding

Eppley Foundation for Research 5266
6 · The paper itself

Abstract

BACKGROUND/

objectivesIdentification of human remains is of utmost importance for criminal investigations and providing closure to the families. The reconstruction of a biological profile of the individual will narrow down the list of candidates for identification. From another perspective, facial approximations performed by a forensic artist can provide investigative leads, with the identity being confirmed by primary or secondary methods of identification. In recent years, DNA analysis has evolved, trying to create a portrait of the perpetrator/victim based on External Visible Characteristics (EVCs), the color of the eyes, hair, and skin and Biogeographical ancestry (BGA), called DNA phenotyping. Despite these advances, currently, there are no studies integrating the biological profile performed by forensic anthropologists, the facial approximation created by forensic artists and EVCs determined by DNA. The goal of this work was to integrate these three investigative leads to enhance the possibility of human identification.

methodsFive donated remains from Mercyhurst were studied through these approaches: reconstruction of biological profile, facial approximation and estimation of EVCs based on previous studies.

resultsOur results indicated the feasibility of integrating this biological profile and EVCs data into the facial approximation developed by the forensic artist, aiming to an enhance portrait of the remains. In a second phase of this project, the accuracy of the integrated facial approximation will be assessed.

conclusionsThis study pointed out the importance of an interdisciplinary approach towards the identification of human remains, as well as the combination of current methods with new technologies.

Indexed as

FaceForensic AnthropologyForensic GeneticsDNAFemaleHumansMalePhenotypeDNAbiological profileDNA phenotypingfacial approximationintegration

Identifiers

PMID40428332
PMCPMC12111187

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