Release 56
(Apr 24, 2025)

Reference # 38752377 Details:

Authors:Ibragimov E, Pedersen AØ, Sloth NM, Fredholm M, Karlskov-Mortensen P (Contact: pkm@sund.ku.dk)
Affiliation:Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark
Title:Identification of a novel QTL for lean meat percentage using imputed genotypes
Journal:Animal Genetics, 2024, 55(4):658-663 DOI: 10.1111/age.13442
Abstract:

Lean meat percentage is a critical production trait in pig breeding systems with direct implications for the sustainability of the industry. In this study, we conducted a genome-wide association study for lean meat percentage using a cohort of 850 Duroc × (Landrace × Yorkshire) crossbred pigs and we identified QTL on SSC3 and SSC18. Based on the predicted effect of imputed variants and using the PigGTEx database of molecular QTL, we prioritized candidate genes and SNPs located within the QTL regions, which may be involved in the regulation of porcine leanness. Our results indicate that a nonsense mutation in ZC3HAV1L on SSC18 has a direct effect on lean meat percentage.

Links:   PubMed | List Data  

 

 

© 2003-2025: USA · USDA · NRPSP8 · Program to Accelerate Animal Genomics Applications. Contact: Bioinformatics Team