Evidence map›Paper›PMID 24052059›Full record

ArticleInternational journal of legal medicine2014

Body fluid identification by integrated analysis of DNA methylation and body fluid-specific microbial DNA.

Ajin Choi, Kyoung-Jin Shin, Woo Ick Yang, Hwan Young Lee

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In one paragraph

Article in International journal of legal medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 100 citations in OpenAlex.

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  9. Application of Microbiome in Forensics.Genomics, proteomics & bioinformatics · 2023
    Review
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  19. Article
  20. Microbial forensics: new breakthroughs and future prospects.Applied microbiology and biotechnology · 2018
    Review
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 at 1 institution in 1 country.

Ajin ChoiDepartment of Forensic Medicine and Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, South Korea.
Kyoung-Jin Shin
Woo Ick Yang
Hwan Young Lee
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of body fluids found at crime scenes provides important information that can support a link between sample donors and actual criminal acts. Previous studies have reported that DNA methylation analysis at several tissue-specific differentially methylated regions (tDMRs) enables successful identification of semen, and the detection of certain bacterial DNA can allow for identification of saliva and vaginal fluid. In the present study, a method for detecting bacterial DNA was integrated into a previously reported multiplex methylation-sensitive restriction enzyme-polymerase chain reaction. The developed multiplex PCR was modified by the addition of a new semen-specific marker and by including amplicons for the 16S ribosomal RNA gene of saliva- and vaginal fluid-specific bacteria to improve the efficacy to detect a specific type of body fluid. Using the developed multiplex system, semen was distinguishable by unmethylation at the USP49, DACT1, and PFN3 tDMRs and by hypermethylation at L81528, and saliva could be identified by detection of saliva-specific bacteria, Veillonella atypica and/or Streptococcus salivarius. Additionally, vaginal fluid and menstrual blood were differentiated from other body fluids by hypomethylation at the PFN3 tDMR and the presence of vaginal fluid-specific bacteria, Lactobacillus crispatus and/or Lactobacillus gasseri. Because the developed multiplex system uses the same biological source of DNA for individual identification profiling and simultaneously analyses various types of body fluid in one PCR reaction, this method will facilitate more efficient body fluid identification in forensic casework.

Indexed as

CrimeDNA MethylationFemaleForensic GeneticsHumansLactobacillusMultiplex Polymerase Chain ReactionOrgan SpecificityPredictive Value of TestsProfilinsRestriction MappingRNA, Ribosomal, 16SSalivaVaginaVeillonellaProfilinsRNA, Ribosomal, 16S

Identifiers

PMID24052059
OpenAlexW2164308071

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.