Release 55
(Dec 23, 2024)
Curator: Cari Park
Curated: 2021-10-05
Updated: 2024-04-23

Publication # 34573489 Details

Authors: Du L, Duan X, An B, Chang T, Liang M, Xu L, Zhang L, Li J, E G, Gao H (Contact: eguangxin@126.com, gaohuijiang@caas.cn)
Affiliation: Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
Title: Genome-Wide Association Study Based on Random Regression Model Reveals Candidate Genes Associated with Longitudinal Data in Chinese Simmental Beef Cattle
Journal: Animals (Basel), 11(9):2524 (2021) DOI: 10.3390/ani11092524
Links:   PubMed  |  Abstract   |   ( Related study: none )
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Number of QTL/association reported by traits:

QTL/association Reported by chromosomes:

Number of gene-based eQTL/associations:

  • None

 

Cite this Dataset:

Animal QTLdb: Dataset from Du L, Duan X, An B, Chang T, Liang M, Xu L, Zhang L, Li J, E G, Gao H (2021). Genome-Wide Association Study Based on Random Regression Model Reveals Candidate Genes Associated with Longitudinal Data in Chinese Simmental Beef Cattle. Animals (Basel), 11(9):2524; Curated into QTLdb on 2021-10-05. Universal link to this data set: https://www.animalgenome.org/QTLdb/supp/?t=TrFf4L6JnI

OR

Du L, Duan X, An B, Chang T, Liang M, Xu L, Zhang L, Li J, E G, Gao H (2021). Genome-Wide Association Study Based on Random Regression Model Reveals Candidate Genes Associated with Longitudinal Data in Chinese Simmental Beef Cattle. Animals (Basel), 11(9):2524; DOI: https://dx.doi.org/10.3390/ani11092524

 

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