Evidence map›Paper›PMID 39982481›Full record

ArticleInternational journal of legal medicine2025

Developmental validation of an mRNA-cSNP profiling panel for body fluids identification and individualization.

Zhiyong Liu, Ning Wang, Qingxia Zhang, Ran Li, Jiajun Liu, Bin Luo, Yicong Wang, Lingna Xue, Riga Wu, Bin Cong and 2 more

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in International journal of legal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

12 authors.

Zhiyong Liu *Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Ning Wang *MGI Tech, Shenzhen, 518083, China.
Qingxia ZhangForensic Medical Examination & Identification Center of Beijing Public Security Bureau, Beijing, 100085, China.
Ran LiFaculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Jiajun LiuFaculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Bin LuoFaculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Yicong WangFaculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Lingna XueMGI Tech, Shenzhen, 518083, China.
Riga WuFaculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
Bin CongCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, China. cong6406@hebmu.edu.cn.
Bo XieFaculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China. xiebo5@mail.sysu.edu.cn.
Hongyu SunFaculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China. sunhy@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-5926-4495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forensic analysis of body fluid stains is extremely important, which helps reconstruct crime scenes. It involves two main challenges: body fluid identification (BFID) and individualization. The former aims to ascertain the type/origin of the body fluid stain, while the latter tries to assign the stain to a specific donor. Generally, they are addressed through RNA and DNA analyses, respectively, but this can be time-consuming, laborious, and sometimes yield suboptimal results, especially mixed body fluid stains. To overcome these limitations, we developed an innovative mRNA-based sequencing panel with a dual function. This system comprises 34 body fluid-specific mRNA genes and 39 cSNP markers (amplicon length: 50 ~ 90 bp), enabling a direct link between specific body fluids and their donors. We thoroughly validated the integrated system according to the guidelines of the Scientific Working Group on DNA Analysis Methods (SWGDAM) on the MGI massively parallel sequencing (MPS) platform. As a result, this panel showed robust identification efficiency for body fluids at 20 ng RNA input, and the range of cumulative discrimination power (CDP) value was 0.802445047 ~ 0.999310789 in five types of body fluid. Furthermore, it had been employed in actual cases and provided the guidance. In conclusion, this system can efficiently, rapidly, and accurately perform body fluid identification and individualization for single-source and mixed samples, meeting the daily investigative demands in forensic genetics.

Indexed as

Body FluidsForensic GeneticsHigh-Throughput Nucleotide SequencingRNA, MessengerFemaleGenetic MarkersHumansMaleSalivaSemenGenetic MarkersRNA, MessengerBody fluid identification and individualizationcSNPsMPSmRNA

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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.