Evidence map›Paper›PMID 41153973›Full record

ArticleAnimals : an open access journal from MDPI2025

Whole-Genome Resequencing Identifies Candidate Genes for Tail Fat Deposition in Sheep.

Xiaowen Zhang, Yufei Li, Yongqing Zhao, Penghui Guo, Yong Cai, Hongwei Xu, Xin Cao, Qiongyi Li, Xiaoxia Ma, Derong Zhang and 1 more

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. 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. 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

11 authors.

Xiaowen ZhangBiomedical Research Center, Northwest Minzu University, Lanzhou 730030, China.
Yufei LiGansu Food Inspection Institute, Lanzhou 730030, China.
Yongqing ZhaoCollege of Life Science and Engineering, Northwest Minzu University, Lanzhou 730030, China.
Penghui GuoCollege of Life Science and Engineering, Northwest Minzu University, Lanzhou 730030, China.
Yong CaiExperiment Teaching Department, Northwest Minzu University, Lanzhou 730030, China.
Hongwei XuCollege of Life Science and Engineering, Northwest Minzu University, Lanzhou 730030, China.
Xin CaoCollege of Life Science and Engineering, Northwest Minzu University, Lanzhou 730030, China.
Qiongyi LiCollege of Life Science and Engineering, Northwest Minzu University, Lanzhou 730030, China.
Xiaoxia MaBiomedical Research Center, Northwest Minzu University, Lanzhou 730030, China.
Derong ZhangBiomedical Research Center, Northwest Minzu University, Lanzhou 730030, China.
Jialin BaiBiomedical Research Center, Northwest Minzu University, Lanzhou 730030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive adipose tissue accumulation in sheep disrupts insulin signaling, inducing insulin resistance, and alters energy partitioning mechanisms. These changes adversely affect both ovine health and production efficiency. This study employed whole-genome resequencing to conduct selection signal analysis in long-fat-tailed (Lanzhou fat-tailed sheep) and short-fat-tailed (Hu sheep) breeds, investigating the genetic basis underlying divergent lipid metabolism-related traits between these distinct tail phenotypes. Fifteen healthy adult individuals, each from long-fat-tailed (Lanzhou Large-tailed sheep) and short-fat-tailed (Hu sheep) breeds, underwent whole-genome resequencing. Whole-genome resequencing analyses via F

Indexed as

lipid metabolismselection signalsheep-tailedwhole genome resequencing

Identifiers

PMID41153973
PMCPMC12561157

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.