Evidence map›Paper›PMID 29500610›Full record

ArticleInternational journal of legal medicine2018

Population data and phylogenetic structure of Han population from Jiangsu province of China on GlobalFiler STR loci.

Atif Adnan, Xiaoni Zhan, Kadirya Kasim, Allah Rakha, Xing Jia Xin

Abstract read
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In one paragraph

Article in International journal of legal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-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

10 citing papers in PubMed, 24 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Atif AdnanDepartment of Forensic Genetics, School of Forensic Medicine, China Medical University, Shenyang, 110122, People's Republic of China. mirzaatifadnan@gmail.com.ORCID http://orcid.org/0000-0003-4537-0059
Xiaoni ZhanDepartment of Forensic Genetics, School of Forensic Medicine, China Medical University, Shenyang, 110122, People's Republic of China.
Kadirya KasimDepartment of Forensic Genetics, School of Forensic Medicine, China Medical University, Shenyang, 110122, People's Republic of China.
Allah RakhaDepartment of Forensic Sciences, University of Health Sciences, Lahore, 54600, Pakistan.
Xing Jia XinDepartment of Forensic Genetics, School of Forensic Medicine, China Medical University, Shenyang, 110122, People's Republic of China. xingjx_007@163.com.
China Medical University · CNUniversity of Health Sciences Lahore · PK

Funding

National Natural Science Foundation of China 81471826
6 · The paper itself

Abstract

Forensic statistical parameters based on allelic frequencies of commonly used short tandem repeats were estimated for the Han population of Jiangsu province from P.R. China. The 6-dye GlobalFiler™ PCR amplification kit incorporates 21 autosomal STRs, providing reliable DNA typing results with enhanced the power of discrimination. Here, we analyzed the GlobalFiler™ STR loci in 516 unrelated individuals from Jiangsu Han population. A total of 256 alleles were observed ranging between 5 and 35.2 repeat units, and SE33 showed the greatest power of discrimination (34 alleles) in Jiangsu Han population. Most of the loci were found to be in the Hardy-Weinberg equilibrium after the Bonferroni correction with the exception of D3S1358. The combined power of exclusion (CPE) was 0.999999996353609, and the combined match probability (CMP) was 3.64 × 10

Indexed as

Gene FrequencyGenetics, PopulationMicrosatellite RepeatsAsian PeopleChinaEthnicityHumansPhylogenyPolymorphism, GeneticChinaForensic population databaseGlobalFiler™HanJiangsu

Identifiers

PMID29500610
OpenAlexW2789291483

What OpenQuestion holds

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Registered trials

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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.