Evidence map›Paper›PMID 42027904›Full record

ArticleArchives animal breeding2026

Runs of homozygosity reveal candidate genes for economic traits in Danish Large White pigs.

Weimin Ding, Xudong Wu, Yu Bu, Wei Zhang, Yuanlang Wang, Yueyun Ding, Xianrui Zheng, Xiaodong Zhang, Zongjun Yin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Archives animal breeding, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Weimin Ding *Anhui Antai Agricultural Development Co., Ltd, Guangde City 242200, China.
Xudong Wu *Anhui Provincial Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei City 230001, China.
Yu BuCollege of Animal Science and Technology, Anhui Agricultural University, Hefei City 230031, China.
Wei ZhangAnhui Provincial Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei City 230001, China.
Yuanlang WangAnhui Provincial Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei City 230001, China.
Yueyun DingCollege of Animal Science and Technology, Anhui Agricultural University, Hefei City 230031, China.
Xianrui ZhengCollege of Animal Science and Technology, Anhui Agricultural University, Hefei City 230031, China.
Xiaodong ZhangCollege of Animal Science and Technology, Anhui Agricultural University, Hefei City 230031, China.
Zongjun YinCollege of Animal Science and Technology, Anhui Agricultural University, Hefei City 230031, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of runs of homozygosity (ROH) in commercial breed genomes is important for accurately assessing the population inbreeding status and exploring homozygous regions related to economic traits formed by selection pressure. The Danish Large White (LW) pig is a commercially important breed renowned for its superior growth efficiency and reproductive performance. In the present study, we identified ROH segments of Danish LW pigs based on 43 individual whole-genome resequencing data. We then calculated the inbreeding coefficient and screened candidate genes with important economic traits from the ROH islands. A total of 9446 ROH segments were identified in the LW pig population. Each LW pig carried 219.67 ROH. Most ROH were

Identifiers

PMID42027904
PMCPMC13100821

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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.