Release 55
(Dec 23, 2024)
Curator: Cari Park
Curated: 2023-05-05
Updated: 2024-04-23

Publication # 37007966 Details

Authors: Xie X, Huang C, Huang Y, Zou X, Zhou R, Ai H, Huang L, Ma J (Contact: lushenghuang@hotmail.com; ma_junwu@hotmail.com)
Affiliation: National Key Laboratory for Swine Genetic Improvement and Production Technology, Ministry of Science and Technology of China, Jiangxi Agricultural University, Nanchang, China
Title: Genetic architecture for skeletal muscle glycolytic potential in Chinese Erhualian pigs revealed by a genome-wide association study using 1.4M SNP array
Journal: Frontiers In Genetics, 14: 1141411 (2023) DOI: 10.3389/fgene.2023.1141411
Links:   PubMed  |  Abstract   |   ( Related study: none )
  • Click on each trait to browse further along the related trait ontology tree
  • Click on each chromosome number to find the detailed QTL information on that chromosome

Number of QTL/association reported by traits:

QTL/association Reported by chromosomes:

Pleiotropic QTL found:

  1. 7_rs318410870, on Chr.7 : 3 QTL; involving 3 traits in 0 breeds.
  2. 16_rs318442172, on Chr.16 : 3 QTL; involving 3 traits in 0 breeds.
  3. 5_rs697205060, on Chr.5 : 2 QTL; involving 2 traits in 0 breeds.
  4. 12_rs345106152, on Chr.12 : 2 QTL; involving 2 traits in 0 breeds.

Number of gene-based eQTL/associations:

  • None

 

Cite this Dataset:

Animal QTLdb: Dataset from Xie X, Huang C, Huang Y, Zou X, Zhou R, Ai H, Huang L, Ma J (2023). Genetic architecture for skeletal muscle glycolytic potential in Chinese Erhualian pigs revealed by a genome-wide association study using 1.4M SNP array. Frontiers in Genetics, 14: 1141411; Curated into QTLdb on 2023-05-05. Universal link to this data set: https://www.animalgenome.org/QTLdb/supp/?t=FaLu2P2AtJ

OR

Xie X, Huang C, Huang Y, Zou X, Zhou R, Ai H, Huang L, Ma J (2023). Genetic architecture for skeletal muscle glycolytic potential in Chinese Erhualian pigs revealed by a genome-wide association study using 1.4M SNP array. Frontiers in Genetics, 14: 1141411; DOI: https://dx.doi.org/10.3389/fgene.2023.1141411

 

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