Evidence map›Paper›PMID 34956310›Full record

ArticleFrontiers in genetics2021

Genomic Insights Into the Genetic Structure and Natural Selection of Mongolians.

Xiaomin Yang, Sarengaowa, Guanglin He, Jianxin Guo, Kongyang Zhu, Hao Ma, Jing Zhao, Meiqing Yang, Jing Chen, Xianpeng Zhang and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2021. 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
1.0field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

14 authors at 2 institutions in 1 country.

Xiaomin YangDepartment of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.
SarengaowaDepartment of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.
Guanglin HeDepartment of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.
Jianxin GuoDepartment of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.
Kongyang ZhuDepartment of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.
Hao MaDepartment of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.
Jing ZhaoDepartment of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.
Meiqing YangDepartment of Forensic Medicine, Guizhou Medical University, Guiyang, China.
Jing ChenDepartment of Forensic Medicine, Guizhou Medical University, Guiyang, China.
Xianpeng ZhangInstitute of Biological Anthropology, Jinzhou Medical University, Liaoning, China.
Le TaoDepartment of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.
Yilan LiuDepartment of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.
Xiu-Fang ZhangDepartment of Pediatrics, Xiang'an Hospital of Xiamen University, Xiamen, China.
Chuan-Chao WangDepartment of Anthropology and Ethnology, Institute of Anthropology, National Institute for Data Science in Health and Medicine, School of Sociology and Anthropology, Xiamen University, Xiamen, China.
Xiamen University · CNGuiyang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mongolians dwell at the Eastern Eurasian Steppe, where is the agriculture and pasture interlaced area, practice pastoral subsistence strategies for generations, and have their own complex genetic formation history. There is evidence that the eastward expansion of Western Steppe herders transformed the lifestyle of post-Bronze Age Mongolia Plateau populations and brought gene flow into the gene pool of Eastern Eurasians. Here, we reported genome-wide data for 42 individuals from the Inner Mongolia Autonomous Region of North China. We observed that our studied Mongolians were structured into three distinct genetic clusters possessing different genetic affinity with previous studied Inner Mongolians and Mongols and various Eastern and Western Eurasian ancestries: two subgroups harbored dominant Eastern Eurasian ancestry from Neolithic millet farmers of Yellow River Basin; another subgroup derived Eastern Eurasian ancestry primarily from Neolithic hunter-gatherers of North Asia. Besides, three-way/four-way qpAdm admixture models revealed that both north and southern Western Eurasian ancestry related to the Western Steppe herders and Iranian farmers contributed to the genetic materials into modern Mongolians. ALDER-based admixture coefficient and haplotype-based GLOBETROTTER demonstrated that the former western ancestry detected in modern Mongolian could be recently traced back to a historic period in accordance with the historical record about the westward expansion of the Mongol empire. Furthermore, the natural selection analysis of Mongolians showed that the Major Histocompatibility Complex (MHC) region underwent significantly positive selective sweeps. The functional genes, alcohol dehydrogenase (

Indexed as

admixture historyfunctional genesgenetic heterogeneityMongoliannatural selection

Identifiers

PMID34956310
PMCPMC8693022
OpenAlexW4200460718

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.