Evidence map›Paper›PMID 34585119›Full record

ArticleiScience2021

The genome of the naturally evolved obesity-prone Ossabaw miniature pig.

Yaolei Zhang, Guangyi Fan, Xin Liu, Kerstin Skovgaard, Michael Sturek, Peter M H Heegaard

Open access · goldAbstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

20 citing papers in PubMed, 23 citations in OpenAlex.

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  3. When in doubt, pig it out: a versatile translational platform to study CKD, HFpEF, and CKM syndrome.American journal of physiology. Heart and circulatory physiology · 2025
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  14. The Bioinformatic Applications of Hi-C and Linked Reads.Genomics, proteomics & bioinformatics · 2024
    Review
  15. Article
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  17. Perspective: mitochondrial STAT3 in cardioprotection.Basic research in cardiology · 2023
    Review
  18. Article
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  20. 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

6 authors at 3 institutions in 3 countries.

Yaolei ZhangTranslational Immunology Group, Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark.
Guangyi FanBGI-Qingdao, BGI-Shenzhen, Qingdao 266555, China.
Xin LiuBGI-Qingdao, BGI-Shenzhen, Qingdao 266555, China.
Kerstin SkovgaardTranslational Immunology Group, Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark.
Michael SturekDepartment of Anatomy, Cell Biology, & Physiology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Peter M H HeegaardTranslational Immunology Group, Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark.
BGI Group (China) · CNTechnical University of Denmark · DKIndiana University School of Medicine

Funding

Translation CoreP30DK097512 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Carmella Evans-Molina · 2015 to 2026
$17.4M
NIDDK NIH HHS P30 DK097512
6 · The paper itself

Abstract

The feral pigs of Ossabaw Island (USA) have an outstanding propensity to obesity and develop complete metabolic syndrome (MetS) upon prolonged high energy dieting. We now report the first high quality genome of the Ossabaw pig with Contig N50 of ∼6.03 Mb, significantly higher than most other published pig genomes. Genomic comparison to Duroc reveals that variations including SNPs, INDELs and one ∼2 Mb inversion identified in Ossabaw pig may be related to its "thrifty" phenotype. Finally, an important positively selected gene (PSG) was found to be

Indexed as

Animal PhysiologyGeneticsPhylogeneticsPhysiology

Identifiers

PMID34585119
PMCPMC8455653
OpenAlexW3198296235

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.