Evidence map›Paper›PMID 29030577›Full record

ArticleScientific reports2017

Population admixture in Chinese and European Sus scrofa.

Minhui Chen, Guosheng Su, Jinluan Fu, Qin Zhang, Aiguo Wang, Mogens Sandø Lund, Bernt Guldbrandtsen

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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.

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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

7 authors.

Minhui ChenCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark.ORCID 0000-0001-5684-2504
Guosheng SuCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark. guosheng.su@mbg.au.dk.
Jinluan FuDepartment of Animal Genetics, Breeding and Reproduction, China Agricultural University, Beijing, China.
Qin ZhangDepartment of Animal Genetics, Breeding and Reproduction, China Agricultural University, Beijing, China.
Aiguo WangDepartment of Animal Genetics, Breeding and Reproduction, China Agricultural University, Beijing, China.
Mogens Sandø LundCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark.
Bernt GuldbrandtsenCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark.ORCID 0000-0003-1764-135X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Relationships between different populations were investigated using Porcine 60 K data from 1,135 domestic pigs and wild boars across Europe and China. The results indicate that most European breeds have been introgressed with Chinese ancestry, but the extent of introgression varies considerably among breeds. Moreover, the main source of this introgression is pigs from South China, closely related to Bamaxiang and Dongshan pigs. Contributions from East and Central Chinese pig breeds are also detectable. Phylogeny reconstruction places European wild boars among European domestic breeds. Coalescent simulations indicate that this may be the result of gene flow from European wild boars to European domestic pigs. These results will facilitate further genomic studies such as genome-wide association studies, selection signature detection and genomic prediction.

Indexed as

AnimalsChinaDNA, MitochondrialEuropeGene FlowGenetic VariationGenome-Wide Association StudyHaplotypesPhylogenyPolymorphism, Single NucleotidePrincipal Component AnalysisSus scrofaSwineDNA, Mitochondrial

Identifiers

PMID29030577
PMCPMC5640611

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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.