Evidence map›Paper›PMID 40490734›Full record

ArticleBMC ecology and evolution2025

Genetic mixed diversity landscape in the paternal lineages of 11 populations inhabiting Southwest China according to the analysis of 25 Y-STRs.

Yunyan Luo, Anmin Chi, Xuehong Guo, Juhui Song, Xiuxiu Zhang, Yangting Dong, Chanjuan Wang, Ting Zhang, Jie Deng, Jinhao Ma and 4 more

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Yunyan Luo *Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical University, Guiyang, Guizhou, China.
Anmin Chi *Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical University, Guiyang, Guizhou, China.
Xuehong Guo *Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical University, Guiyang, Guizhou, China.
Juhui SongKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical University, Guiyang, Guizhou, China.
Xiuxiu ZhangKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical University, Guiyang, Guizhou, China.
Yangting DongKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical University, Guiyang, Guizhou, China.
Chanjuan WangKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical University, Guiyang, Guizhou, China.
Ting ZhangKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical University, Guiyang, Guizhou, China.
Jie DengKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical University, Guiyang, Guizhou, China.
Jinhao MaKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical University, Guiyang, Guizhou, China.
Xueshuang LiKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical University, Guiyang, Guizhou, China.
Keren ShanKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical University, Guiyang, Guizhou, China.
Zhizhong GuanKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical University, Guiyang, Guizhou, China.
Yan HeKey Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, & Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co. Constructed By the Province and Ministry, Guizhou Medical University, Guiyang, Guizhou, China. annieheyan@gmc.edu.cn.

Funding

Innovative Research Group Project of the National Natural Science Foundation of China Grant Nos. 32360154, 31560306, 82360813, U1812403the Guizhou Provincial Science and Technology Program Project Grant QKH-ZK-2022--401, QKH-ZK-2022--342the Guizhou Science and Technology Support Project Social Development Field [2019] 2807the Science and Technology Fund of Guizhou Provincial Health Commission Grant Nos. gzwkj2024--056
6 · The paper itself

Abstract

Y-STR genotyping can be used to predict the genetic mixed landscape of different populations effectively. In this study, 25 Y-STR loci were detected in 745 unrelated healthy males from the Bai, Bouyei, Dong, Gelao, Hui, Maonan, Mulao, Shui, Tujia, Yi and Han groups in Guizhou Province via a Y27Plex fluorescence detection kit. The results revealed that the kit had high gene diversity (GD: 0.0878 ~ 0.9581; HD: 0.9781 ~ 0.9987). The genetic distance ranged from 0.0172-0.3750. On the basis of PCA, phylogenetic tree and structure analysis, the same language groups tended to show closer genetic relationships among the 11 sample populations. According to the genetic relationship analysis of the 11 samples and 22 reference populations, the genetic relationships of Guizhou Han and Guangxi Gin were the closest (0.018), whereas those of the Tujia and She nationalities were the farthest in Guizhou (0.4483). Additionally, Guizhou Tujia, Guizhou Hui, Xinjiang Mongolians, Yunnan Lahu, Kazakh Uzbekistan and Kazakhstan were clustered together. This study provides a reference for the genetic structure and genetic differentiation of 11 indigenous populations in Guizhou Province and provides useful paternal information for population genetics, archaeology and historical research.

Indexed as

Chromosomes, Human, YEast Asian PeopleGenetics, PopulationGenetic VariationMicrosatellite RepeatsChinaEthnicityHumansMalePhylogenyGenetic polymorphismGuizhou inhabited populationsY-STRs

Identifiers

PMID40490734
PMCPMC12147288

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.