Evidence map›Paper›PMID 41132071›Full record

ArticleAnimal bioscience2026

Progress on genome-wide association studies and selection signature analysis for agronomic traits in Chinese sheep and goats: review.

Mingxuan Han, Youjun Rong, Bingjie Ma, Xinle Wang, Xiaofang Ao, Fangzheng Shang, Rui Su, Ruijun Wang, Yanjun Zhang

Abstract read
In one paragraph

Article in Animal bioscience, 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.

Mingxuan HanCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Youjun RongCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Bingjie MaCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Xinle WangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Xiaofang AoCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Fangzheng ShangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Rui SuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Ruijun WangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Yanjun ZhangCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.

Funding

Inner Mongolia Autonomous Region 2025KYPT0103Inner Mongolia Autonomous Region Breeding Joint Research Project YZ2023011Innovative Research Team in Universi-ties of Inner Mongolia Autonomous Region NMGIRT2322
6 · The paper itself

Abstract

Sheep and goats, among the earliest domesticated animals, hold significant historical importance in Chinese animal husbandry. The rapid advancement of modern biotechnology has rendered genome wide association studies (GWAS) and selection signature analyses have become indispensable tools in livestock genetic research. This review summarizes recent progress in the application of these methods to sheep and goat breeding in China, analyzes existing challenges in the research, and suggests potential research strategies. GWAS and selection signature analyses have identified key genomic regions associated with agronomically important traits. Genes such as LHX2, FGF12 and Notch3 are associated with hair follicle growth and development, while RBM11, SMARCA5 and GAB1 are linked to body size in sheep. Additionally, BMPRIB has been identified as a determinant of reproductive performance and growth rate in both sheep and goats. Despite progress, several challenges remain, including incomplete reference genomes, insufficient phenotypic data, inadequate algorithms, and a lack of functional validation and practical application of findings. Future work must prioritize genomic refinement, the integration of multi-omics, and the development of algorithm. Enhanced international collaboration is crucial to deciphering the genetic basis of key traits, thereby advancing global industry. These initiatives will enable highly precise breeding strategies. Through precise identification and selection of individuals with desirable genetic traits, breeders can significantly enhance the efficiency of genetic improvement. Using Hua sheep 50k chip as an example, it effectively identifies individuals with superior reproductive genes (such as BMPRIB) at an early stage, increases the lambing rate by 27.7%, accelerates the propagation of high-quality breeding groups, provides a large number of breeding sheep with excellent genetic traits for the global sheep industry, and improve the overall quality of germplasm. This will ultimately enhance the sustainable development of global sheep and goat production.

Indexed as

Agronomic TraitsChinaGenome Wide Association StudiesGoatSelection SignatureSheep

Identifiers

PMID41132071
PMCPMC12963751

What Socratic 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 Socratic graph.