Evidence map›Paper›PMID 22002120›Full record

ReviewJournal of applied genetics2012

Current genetic methodologies in the identification of disaster victims and in forensic analysis.

Ewa Ziętkiewicz, Magdalena Witt, Patrycja Daca, Jadwiga Zebracka-Gala, Mariusz Goniewicz, Barbara Jarząb, Michał Witt

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of applied genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

38 citing papers in PubMed, 165 citations in OpenAlex.

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  12. Morphometric Analysis of Permanent Canines: Preliminary Findings on Odontometric Sex Dimorphism.International journal of environmental research and public health · 2022
    Article
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  18. Review
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  20. Identification of human remains using Rapid DNA analysis.International journal of legal medicine · 2020
    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

7 authors at 4 institutions in 1 country.

Ewa ZiętkiewiczInstitute of Human Genetics, Polish Academy of Sciences, Poznań, Poland. zietkiee@man.poznan.pl
Magdalena Witt
Patrycja Daca
Jadwiga Zebracka-Gala
Mariusz Goniewicz
Barbara Jarząb
Michał Witt
Institute of Human Genetics · PLMedical University of Lublin · PLPolish Academy of Sciences · PLPoznan University of Medical Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review presents the basic problems and currently available molecular techniques used for genetic profiling in disaster victim identification (DVI). The environmental conditions of a mass disaster often result in severe fragmentation, decomposition and intermixing of the remains of victims. In such cases, traditional identification based on the anthropological and physical characteristics of the victims is frequently inconclusive. This is the reason why DNA profiling became the gold standard for victim identification in mass-casualty incidents (MCIs) or any forensic cases where human remains are highly fragmented and/or degraded beyond recognition. The review provides general information about the sources of genetic material for DNA profiling, the genetic markers routinely used during genetic profiling (STR markers, mtDNA and single-nucleotide polymorphisms [SNP]) and the basic statistical approaches used in DNA-based disaster victim identification. Automated technological platforms that allow the simultaneous analysis of a multitude of genetic markers used in genetic identification (oligonucleotide microarray techniques and next-generation sequencing) are also presented. Forensic and population databases containing information on human variability, routinely used for statistical analyses, are discussed. The final part of this review is focused on recent developments, which offer particularly promising tools for forensic applications (mRNA analysis, transcriptome variation in individuals/populations and genetic profiling of specific cells separated from mixtures).

Indexed as

DisastersGenome, HumanDNA FingerprintingDNA, MitochondrialForensic GeneticsGene Expression ProfilingGenetic MarkersGenetics, PopulationGenetic VariationHaplotypesHumansMicrosatellite RepeatsMitochondriaPolymorphism, Single NucleotideSequence Analysis, DNADNA, MitochondrialGenetic Markers

Identifiers

PMID22002120
PMCPMC3265735
OpenAlexW2114863438

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.