Release 56
(Apr 24, 2025)
Curator: Cari Park
Curated: 2023-03-06
Updated: 2025-03-17

Publication # 36830509 Details

Authors: Zhang R, Zhang Y, Liu T, Jiang B, Li Z, Qu Y, Chen Y, Li Z (Contact: lizhc7@mail.sysu.edu.cn)
Affiliation: State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510006, China
Title: Utilizing Variants Identified with Multiple Genome-Wide Association Study Methods Optimizes Genomic Selection for Growth Traits in Pigs
Journal: Animals : An Open Access Journal From MDPI, 13(4):722 (2023) DOI: 10.3390/ani13040722
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 Zhang R, Zhang Y, Liu T, Jiang B, Li Z, Qu Y, Chen Y, Li Z (2023). Utilizing Variants Identified with Multiple Genome-Wide Association Study Methods Optimizes Genomic Selection for Growth Traits in Pigs. Animals : an open access journal from MDPI, 13(4):722; Curated into QTLdb on 2023-03-07. Universal link to this data set: https://www.animalgenome.org/QTLdb/supp/?t=IuEo2U7FiY

OR

Zhang R, Zhang Y, Liu T, Jiang B, Li Z, Qu Y, Chen Y, Li Z (2023). Utilizing Variants Identified with Multiple Genome-Wide Association Study Methods Optimizes Genomic Selection for Growth Traits in Pigs. Animals : an open access journal from MDPI, 13(4):722; DOI: https://dx.doi.org/10.3390/ani13040722

 

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