Literature DB >> 30639022

Short communication: Replication of genome-wide association studies for milk production traits in Chinese Holstein by an efficient rotated linear mixed model.

Dan Wang1, Chao Ning1, Jian-Feng Liu1, Qin Zhang1, Li Jiang2.   

Abstract

Milk is regarded as an important nutrient for humans, and Chinese Holstein cows provide high-quality milk for billions of Chinese people. Therefore, detecting quantitative trait nucleotides (QTN) or candidate genes for milk production traits in Chinese Holstein is important. In this study, we performed genome-wide association studies (GWAS) in a Chinese Holstein population of 6,675 cows and 71,633 SNP using deregressed proofs (DRP) as phenotypes to replicate our previous study in a population of 1,815 cows and 39,163 SNP using estimated breeding values (EBV) as phenotypes. The associations between 3 milk production traits-milk yield (MY), fat percentage (FP), and protein percentage (PP)-and the SNP were determined by using an efficient rotated linear mixed model, which benefits from linear transformations of genomic estimated values and Eigen decomposition of the genomic relationship matrix algorithm. In total, we detected 94 SNP that were significantly associated with one or more milk production traits, including 7 SNP for MY, 76 for FP, and 36 for PP; 87% of these SNP were distributed across Bos taurus autosomes 14 and 20. In total, 83 SNP were found to be located within the reported quantitative trait loci (QTL) regions, and one novel segment (between 1.41 and 1.49 Mb) on chromosome 14 was significantly associated with FP, which could be an important candidate QTL region. In addition, the detected intervals were narrowed down from the reported regions harboring causal variants. The top significant SNP for the 3 traits was ARS-BFGL-NGS-4939, which is located within the DGAT1 gene. Five detected genes (CYHR1, FOXH1, OPLAH, PLEC, VPS28) have effects on all 3 traits. Our study provides a suite of QTN, candidate genes, and a novel QTL associated with milk production traits, and thus forms a solid basis for genomic selection and molecular breeding for milk production traits in Chinese Holstein.
Copyright © 2019 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chinese Holstein; genome-wide association study (GWAS); milk production traits; quantitative trait nucleotides (QTN)

Mesh:

Substances:

Year:  2019        PMID: 30639022     DOI: 10.3168/jds.2018-15298

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  8 in total

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Journal:  J Anim Breed Genet       Date:  2019-10-01       Impact factor: 2.380

2.  Genetic Effects of LPIN1 Polymorphisms on Milk Production Traits in Dairy Cattle.

Authors:  Bo Han; Yuwei Yuan; Ruobing Liang; Yanhua Li; Lin Liu; Dongxiao Sun
Journal:  Genes (Basel)       Date:  2019-04-02       Impact factor: 4.096

3.  Genomewide Association Analyses of Lactation Persistency and Milk Production Traits in Holstein Cattle Based on Imputed Whole-Genome Sequence Data.

Authors:  Victor B Pedrosa; Flavio S Schenkel; Shi-Yi Chen; Hinayah R Oliveira; Theresa M Casey; Melkaye G Melka; Luiz F Brito
Journal:  Genes (Basel)       Date:  2021-11-19       Impact factor: 4.096

4.  Genetic Parameter Estimation and Genome-Wide Association Study-Based Loci Identification of Milk-Related Traits in Chinese Holstein.

Authors:  Xubin Lu; Abdelaziz Adam Idriss Arbab; Ismail Mohamed Abdalla; Dingding Liu; Zhipeng Zhang; Tianle Xu; Guosheng Su; Zhangping Yang
Journal:  Front Genet       Date:  2022-01-28       Impact factor: 4.599

5.  Genome-wide association analysis of milk production, somatic cell score, and body conformation traits in Holstein cows.

Authors:  Peng Wang; Xue Li; Yihao Zhu; Jiani Wei; Chaoxin Zhang; Qingfang Kong; Xu Nie; Qi Zhang; Zhipeng Wang
Journal:  Front Vet Sci       Date:  2022-10-04

6.  Sequence-based genome-wide association study of individual milk mid-infrared wavenumbers in mixed-breed dairy cattle.

Authors:  Kathryn M Tiplady; Thomas J Lopdell; Edwardo Reynolds; Richard G Sherlock; Michael Keehan; Thomas Jj Johnson; Jennie E Pryce; Stephen R Davis; Richard J Spelman; Bevin L Harris; Dorian J Garrick; Mathew D Littlejohn
Journal:  Genet Sel Evol       Date:  2021-07-20       Impact factor: 4.297

7.  Selection signatures in two oldest Russian native cattle breeds revealed using high-density single nucleotide polymorphism analysis.

Authors:  Natalia Anatolievna Zinovieva; Arsen Vladimirovich Dotsev; Alexander Alexandrovich Sermyagin; Tatiana Evgenievna Deniskova; Alexandra Sergeevna Abdelmanova; Veronika Ruslanovna Kharzinova; Johann Sölkner; Henry Reyer; Klaus Wimmers; Gottfried Brem
Journal:  PLoS One       Date:  2020-11-16       Impact factor: 3.240

8.  Genome-Wide Association Study Candidate Genes on Mammary System-Related Teat-Shape Conformation Traits in Chinese Holstein Cattle.

Authors:  Mudasir Nazar; Xubin Lu; Ismail Mohamed Abdalla; Numan Ullah; Yongliang Fan; Zhi Chen; Abdelaziz Adam Idriss Arbab; Yongjiang Mao; Zhangping Yang
Journal:  Genes (Basel)       Date:  2021-12-19       Impact factor: 4.096

  8 in total

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