Evidence map›Paper›PMID 24828511›Full record

ArticlePloS one2014

The contribution of genetic diversity to subdivide populations living in the silk road of China.

Zhe Zhang, Shuguang Wei, Hongsheng Gui, Zuyi Yuan, Shengbin Li

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors.

Zhe ZhangKey Laboratory of Environment and Gene Related to Diseases, Ministry of Education, College of Medicine, Xi'an Jiaotong University, Shaanxi, China; The Key Laboratory of National Ministry of Health for Forensic Sciences, College of Medicine and Forensics, Xi'an Jiaotong University, Shaanxi, China.
Shuguang WeiThe Key Laboratory of National Ministry of Health for Forensic Sciences, College of Medicine and Forensics, Xi'an Jiaotong University, Shaanxi, China.
Hongsheng GuiThe Key Laboratory of National Ministry of Health for Forensic Sciences, College of Medicine and Forensics, Xi'an Jiaotong University, Shaanxi, China.
Zuyi YuanKey Laboratory of Environment and Gene Related to Diseases, Ministry of Education, College of Medicine, Xi'an Jiaotong University, Shaanxi, China; The Key Laboratory of National Ministry of Health for Forensic Sciences, College of Medicine and Forensics, Xi'an Jiaotong University, Shaanxi, China.
Shengbin LiKey Laboratory of Environment and Gene Related to Diseases, Ministry of Education, College of Medicine, Xi'an Jiaotong University, Shaanxi, China; The Key Laboratory of National Ministry of Health for Forensic Sciences, College of Medicine and Forensics, Xi'an Jiaotong University, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are several indigenous ethnic populations along the silk road in the Northwest of China that display clear differences in culture and social customs, perhaps as a result of geographic isolation and different linguistic traditions. However, extensive trade and other interactions probably facilitated the admixture of different gene pools between these populations over the last two millennia. To further explore the evolutionary relationships of the 13 ethnic populations residing in Northwest China and to reveal the features of population admixture, the 9 most-commonly employed CODIS loci (D3S1358, TH01, D5S818, D13S317, D7S820, CSF1PO, vWA, TPOX, FGA) were selected for genotyping and further analysis. Phylogenetic tree and principal component analysis revealed clear pattern of population differentiation between 4 populations living in Sinkiang Uighur Autonomous Region and other 9 populations dwelled in the upper regions of Silk Road. R matrix regression showed high-level gene flow and population admixture dose exist among these ethic populations in the Northwest region of China. Furthermore, the Mantel test suggests that larger percent of genetic variance (21.58% versus 2.3%) can be explained by geographic isolation than linguistic barriers, which matched with the contribution of geographic factors to other world populations.

Indexed as

ChinaEthnicityGene FlowGenetics, PopulationGenetic VariationGenotypeHumansLifePhylogenyPopulation

Identifiers

PMID24828511
PMCPMC4020837

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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.