Evidence map›Paper›PMID 26117497›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2015

Whole-genome resequencing analyses of five pig breeds, including Korean wild and native, and three European origin breeds.

Jung-Woo Choi, Won-Hyong Chung, Kyung-Tai Lee, Eun-Seok Cho, Si-Woo Lee, Bong-Hwan Choi, Sang-Heon Lee, Wonjun Lim, Dajeong Lim, Yun-Gyeong Lee and 6 more

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
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  4. Genetic Diversity and Population Structure ofAnimals : an open access journal from MDPI · 2025
    Article
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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

16 authors.

Jung-Woo ChoiAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea.
Won-Hyong ChungAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea.
Kyung-Tai LeeAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea.
Eun-Seok ChoAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea.
Si-Woo LeeAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea.
Bong-Hwan ChoiAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea.
Sang-Heon LeeKorean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea Department of Bioinformatics, Korea University of Science and Technology, Daejeon 305-806, Republic of Korea.
Wonjun LimKorean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea Department of Bioinformatics, Korea University of Science and Technology, Daejeon 305-806, Republic of Korea.
Dajeong LimAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea.
Yun-Gyeong LeeKorean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea Department of Bioinformatics, Korea University of Science and Technology, Daejeon 305-806, Republic of Korea.
Joon-Ki HongSwine Division, National Institute of Animal Science, Rural Development Administration, Suwon 441-706, Republic of Korea.
Doo-Wan KimSwine Division, National Institute of Animal Science, Rural Development Administration, Suwon 441-706, Republic of Korea.
Hyeon-Jeong JeonAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea.
Jiwoong KimKorean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea.
Namshin KimKorean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea Department of Bioinformatics, Korea University of Science and Technology, Daejeon 305-806, Republic of Korea thkim63@korea.kr n@rna.kr.
Tae-Hun KimAnimal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Jeonju 565-851, Republic of Korea thkim63@korea.kr n@rna.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pigs have been one of the most important sources of meat for humans, and their productivity has been substantially improved by recent strong selection. Here, we present whole-genome resequencing analyses of 55 pigs of five breeds representing Korean native pigs, wild boar and three European origin breeds. 1,673.1 Gb of sequence reads were mapped to the Swine reference assembly, covering ∼99.2% of the reference genome, at an average of ∼11.7-fold coverage. We detected 20,123,573 single-nucleotide polymorphisms (SNPs), of which 25.5% were novel. We extracted 35,458 of non-synonymous SNPs in 9,904 genes, which may contribute to traits of interest. The whole SNP sets were further used to access the population structures of the breeds, using multiple methodologies, including phylogenetic, similarity matrix, and population structure analysis. They showed clear population clusters with respect to each breed. Furthermore, we scanned the whole genomes to identify signatures of selection throughout the genome. The result revealed several promising loci that might underlie economically important traits in pigs, such as the CLDN1 and TWIST1 genes. These discoveries provide useful genomic information for further study of the discrete genetic mechanisms associated with economically important traits in pigs.

Indexed as

GenomeHigh-Throughput Nucleotide SequencingAnimalsBreedingComputational BiologyGenomicsMolecular Sequence AnnotationPhylogenyPolymorphism, Single NucleotideSelection, GeneticSwinePigsignature of selectionSNPwhole-genome sequencing

Identifiers

PMID26117497
PMCPMC4535618

What OpenQuestion holds

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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.