Article (Scientific journals)
Identification of key genes for mandibular prognathism in Duolang sheep via genome-wide association analysis
Fang, Chao; Liu, Ling-Ling; Liu, Wu-Jun et al.
2026In Frontiers in Veterinary Science, 12
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Keywords :
prognathism; GWAS; sheep
Abstract :
[en] Mandibular prognathism is a craniofacial trait that negatively affects feed intake in sheep and thus influences body weight and production performance. A genome-wide association study (GWAS) was conducted to identify genetic variants associated with mandibular prognathism (MP) in Duolang sheep. Phenotypes were classified into a binary trait: normal and MP. The analysis was based on whole-genome resequencing data from 221 individuals. We identified 48 potentially associated SNPs and 77 candidate genes related to mandibular prognathism. Based on gene functional analysis, we found five genes (PAX7, PLXNA4, CHD2, DZIP1, FBXW7) that may be involved in mandibular prognathism.Notably, seven SNPs on chromosome 4 were located within the PLXNA4 gene, and seven SNPs on chromosome 17 were located upstream of the FBXW7 gene. These findings provide novel insights into the genetic architecture of mandibular prognathism in sheep and offer potential molecular targets for future breeding and selection programs.
Disciplines :
Veterinary medicine & animal health
Author, co-author :
Fang, Chao  ;  Université de Liège - ULiège > Fundamental and Applied Research for Animals and Health (FARAH) ; College of Animal Science, Xinjiang Agricultural University
Liu, Ling-Ling;  College of Animal Science, Xinjiang Agricultural University
Liu, Wu-Jun;  College of Animal Science, Xinjiang Agricultural University
Farnir, Frédéric  ;  Université de Liège - ULiège > Département de gestion vétérinaire des Ressources Animales (DRA)
Language :
English
Title :
Identification of key genes for mandibular prognathism in Duolang sheep via genome-wide association analysis
Publication date :
19 January 2026
Journal title :
Frontiers in Veterinary Science
eISSN :
2297-1769
Publisher :
Frontiers Media SA
Volume :
12
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
This research was funded by the National Natural Science Foundation of China Project, grant number 32160775, Key R&D Program of Xinjiang Uygur Autonomous Region, grant number 2021YFD1600702, and the Tianshan Talent Program Project, grant number 2023TSYCLJ0017.
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