Evidence map›Paper›PMID 29065176›Full record

ArticlePloS one2017

Genome-wide analysis of structural variants reveals genetic differences in Chinese pigs.

Ruifei Yang, Suyun Fang, Jing Wang, Chunyuan Zhang, Ran Zhang, Di Liu, Yiqiang Zhao, Xiaoxiang Hu, Ning Li

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

9 authors.

Ruifei YangBeijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, P. R. China.ORCID http://orcid.org/0000-0002-2074-6526
Suyun FangState Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China.
Jing WangBeijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, P. R. China.
Chunyuan ZhangBeijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, P. R. China.
Ran ZhangState Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China.
Di LiuInstitute of Animal Industry, Heilongjiang Academy of Agricultural Sciences, Harbin, P. R. China.
Yiqiang ZhaoBeijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, P. R. China.
Xiaoxiang HuState Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China.
Ning LiState Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pigs have experienced long-term selections, resulting in dramatic phenotypic changes. Structural variants (SVs) are reported to exert extensive impacts on phenotypic changes. We built a high resolution and informative SV map based on high-depth sequencing data from 66 Chinese domestic and wild pigs. We inferred the SV formation mechanisms in the pig genome and used SVs as materials to perform a population-level analysis. We detected the selection signals on chromosome X for northern Chinese domestic pigs, as well as the differentiated loci across the whole genome. Analysis showed that these loci differ between southern and northern Chinese domestic pigs. Our results based on SVs provide new insights into genetic differences in Chinese pigs.

Indexed as

Genetic VariationGenome-Wide Association StudyAnimalsChinaSelection, GeneticSus scrofaSwineX Chromosome

Identifiers

PMID29065176
PMCPMC5655481

What OpenQuestion holds

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LicenceCC BY
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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.