Literature DB >> 29932466

A genome-wide association study suggests several novel candidate genes for carcass traits in Chinese Simmental beef cattle.

T Chang1, J Xia1, L Xu1, X Wang1, B Zhu1, L Zhang1, X Gao1, Y Chen1, J Li1, H Gao1.   

Abstract

A genome-wide association study (GWAS) was conducted for two carcass traits in Chinese Simmental beef cattle. The experimental population consisted of 1301 individuals genotyped with the Illumina BovineHD SNP BeadChip (770K). After quality control, 671 990 SNPs and 1217 individuals were retained for the GWAS. The phenotypic traits included carcass weight and bone weight, which were measured after the cattle were slaughtered at 16 to 18 months of age. Three statistical models-a fixed polygene model, a random polygene model and a composite interval mapping polygene model-were used for the GWAS. The genome-wide significance threshold after Bonferroni correction was 7.44E-08 (= 0.05/671 990). In this study, we detected eight and seven SNPs significantly associated with carcass weight and bone weight respectively. In total, 11 candidate genes were identified within or close to these significant SNPs. Of these, we found several novel candidate genes, including PBX1, GCNT4, ALDH1A2, LCORL and WDFY3, to be associated with carcass weight and bone weight in Chinese Simmental beef cattle, and their functional roles need to be verified in further studies.
© 2018 Stichting International Foundation for Animal Genetics.

Entities:  

Keywords:  CIM polygene model; GWAS; bone weight; carcass weight; linear mixed model

Mesh:

Year:  2018        PMID: 29932466     DOI: 10.1111/age.12667

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  5 in total

1.  Identification of Candidate Genes Regulating Carcass Depth and Hind Leg Circumference in Simmental Beef Cattle Using Illumina Bovine Beadchip and Next-Generation Sequencing Analyses.

Authors:  Farhad Bordbar; Mohammadreza Mohammadabadi; Just Jensen; Lingyang Xu; Junya Li; Lupei Zhang
Journal:  Animals (Basel)       Date:  2022-04-25       Impact factor: 3.231

2.  Genome-wide Association Study for Carcass Primal Cut Yields Using Single-step Bayesian Approach in Hanwoo Cattle.

Authors:  Masoumeh Naserkheil; Hossein Mehrban; Deukmin Lee; Mi Na Park
Journal:  Front Genet       Date:  2021-11-26       Impact factor: 4.599

3.  Identification of Candidate Variants Associated With Bone Weight Using Whole Genome Sequence in Beef Cattle.

Authors:  Qunhao Niu; Tianliu Zhang; Ling Xu; Tianzhen Wang; Zezhao Wang; Bo Zhu; Xue Gao; Yan Chen; Lupei Zhang; Huijiang Gao; Junya Li; Lingyang Xu
Journal:  Front Genet       Date:  2021-11-29       Impact factor: 4.599

4.  Selection signatures of Fuzhong Buffalo based on whole-genome sequences.

Authors:  Ting Sun; Guang-Yun Huang; Zi-Hao Wang; Shao-Hua Teng; Yan-Hong Cao; Jun-Li Sun; Quratulain Hanif; Ning-Bo Chen; Chu-Zhao Lei; Yu-Ying Liao
Journal:  BMC Genomics       Date:  2020-09-29       Impact factor: 3.969

5.  Assessing the Genetic Background and Selection Signatures of Huaxi Cattle Using High-Density SNP Array.

Authors:  Jun Ma; Xue Gao; Junya Li; Huijiang Gao; Zezhao Wang; Lupei Zhang; Lingyang Xu; Han Gao; Hongwei Li; Yahui Wang; Bo Zhu; Wentao Cai; Congyong Wang; Yan Chen
Journal:  Animals (Basel)       Date:  2021-12-06       Impact factor: 2.752

  5 in total

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