Evidence map›Paper›PMID 27470316›Full record

ArticleInternational journal of legal medicine2016

Mutation analysis of 19 autosomal short tandem repeats in Chinese Han population from Shanghai.

Chengchen Shao, Mingxi Lin, Zhihan Zhou, Yueqin Zhou, Yiwen Shen, Aimin Xue, Huaigu Zhou, Qiqun Tang, Jianhui Xie

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Article in International journal of legal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Article
  2. Genetic analysis of tri-allelic patterns at the CODIS STR loci.Molecular genetics and genomics : MGG · 2020
    Article
  3. Article
  4. 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

9 authors.

Chengchen ShaoDepartment of Forensic Medicine, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
Mingxi LinDepartment of Forensic Medicine, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
Zhihan ZhouDepartment of Forensic Medicine, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
Yueqin ZhouDepartment of Forensic Medicine, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
Yiwen ShenDepartment of Forensic Medicine, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
Aimin XueDepartment of Forensic Medicine, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
Huaigu ZhouDepartment of Forensic Medicine, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
Qiqun TangDepartment of Biochemistry and Molecular Biology, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
Jianhui XieDepartment of Forensic Medicine, Shanghai Medical College of Fudan University, Shanghai, 200032, China. jhxie@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mutation of short tandem repeat (STR) loci is affected by several factors, such as sex, age, and DNA architectures. Previous studies have shown a different profile of mutation rates at autosomal STR loci among populations. It is important to provide population data and reveal underlying factors influencing the evaluation of STR mutation rates. In this study, we performed a comprehensive analysis on the mutation of 19 autosomal STR loci through 124,773 parent-child allelic transfers from 5846 paternity testing cases. A total of 197 mutations were observed including 187 single-step mutations. The observed mutation rates ranged from 0.15 × 10

Indexed as

Genetics, PopulationMicrosatellite RepeatsMutation RateChinaEthnicityFemaleGenetic LociHumansMaleMiddle AgedMutationPaternityPolymerase Chain ReactionMutationsPaternity testingPopulation geneticsShort tandem repeats

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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.