Evidence map›Paper›PMID 41601570›Full record

ArticleForensic sciences research2025

Forensic efficiency evaluation of a novel 22-STR panel for kinship testing in Eastern Chinese Han population.

Man Chen, Fan Yang, Zhixiao Gao, Weifen Sun, Xufeng Chu, Hui Li, Lei Jiang, Xiling Liu

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

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

8 authors.

Man ChenShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China.
Fan YangKey Laboratory of Forensic Evidence and Science Technology, Ministry of Public Security, Institute of Forensic Science, Shanghai, China.
Zhixiao GaoSuzhou Microread Genetics, Suzhou, China.
Weifen SunShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China.
Xufeng ChuShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China.
Hui LiShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China.ORCID https://orcid.org/0000-0002-7931-9895
Lei JiangShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China.
Xiling LiuShanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China.ORCID https://orcid.org/0000-0003-1318-6150

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Short tandem repeats have been essential and fundamental genetic markers used in forensic individual discrimination and paternity testing since their discovery, especially those used in the Combined DNA Index System. Nevertheless, in cases of complex kinship identification, such as full-sibling, half-sibling, and uncle-niece relationships, the combined application of additional short tandem repeat loci is necessary to reach reliable identification conclusions. In this study, we evaluated the efficiency of an updated novel short tandem repeat genotyping system for kinship identification in the Eastern Chinese Han population. This 23-plex short tandem repeat system demonstrated strong discrimination power among individuals in the target population, with a combined power of discrimination and cumulative probability of exclusion of 1-2.107 1 × 10

Indexed as

case reportforensic geneticsforensic sciencesfull-sibling identificationhalf-sibling identificationshort tandem repeat

Identifiers

PMID41601570
PMCPMC12809537

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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.