Evidence map›Paper›PMID 39153266›Full record

ArticlePoultry science2024

Identification of key module and hub genes affecting broiler body weight through weighted gene co-expression network analysis.

Wei Wei, Jinmei Xu, Chaohui Xing, Hao Wang, Hong Zhang, Yanan Liu, Xinxin He, Jiangxian Wang, Xing Guo, Runshen Jiang

Abstract read
In one paragraph

Article in Poultry science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Growth-Associated SNPs of theAnimals : an open access journal from MDPI · 2026
    Article
  2. 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

10 authors.

Wei WeiCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Jinmei XuCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Chaohui XingCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Hao WangCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Hong ZhangCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Yanan LiuCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Xinxin HeCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Jiangxian WangCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Xing GuoCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Runshen JiangCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China. Electronic address: jiangrunshen@ahau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body weight (BW) is an important economic trait in chickens. The hypothalamus serves as a central regulator of appetite and energy balance, and extensive research has demonstrated its pivotal role in regulating BW. However, the molecular network of the hypothalamus regulating BW traits in chickens needs to be further illuminated. In the present study, 200 1-day-old male 817 broilers were reared to 50 d of age, and BW were recorded. 20 birds with the lowest BW were classified as the low body weight group (L-BWG), and 20 birds with the highest BW were classified as the high body weight group (H-BWG). 18 hypothalamic tissue samples were collected, including 5 from the L-BWG, 5 from the H-BWG, and 8 from the middle weight range, and were analyzed using RNA-seq and weighted gene co-expression network analysis (WGCNA). Among the 18 RNA-seq samples, 5 samples from the L-BWG and 5 from the H-BWG were selected for differential expression gene analysis. Compared with the L-BWG, 195 and 1,241 genes were upregulated and downregulated in the H-BWG, respectively. The WGCNA analysis classified all co-expressed genes in the hypothalamus of 817 broilers into 20 modules. Among these modules, the pink module was identified as significantly negatively (r = -0.81, P = 4×10

Indexed as

Body WeightChickensGene Regulatory NetworksHypothalamusAnimalsAvian ProteinsGene Expression ProfilingMaleAvian Proteinsbody weightchickenhub genehypothalamusweighted gene co-expression network analysis

Identifiers

PMID39153266
PMCPMC11471089

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.