Literature DB >> 30269158

A genome-wide association study for mastitis resistance in phenotypically well-characterized Holstein dairy cattle using a selective genotyping approach.

Jacqueline P Kurz1,2,3, Zhou Yang4, Robert B Weiss5, David J Wilson6,7,8, Kerry A Rood1,3, George E Liu9, Zhongde Wang10.   

Abstract

A decrease in the incidence of bovine mastitis, the costliest disease in the dairy industry, can be facilitated through genetic marker-assisted selective breeding programs. Identification of genomic variants associated with mastitis resistance is an ongoing endeavor for which genome-wide association studies (GWAS) using high-density arrays provide a valuable tool. We identified single nucleotide polymorphisms (SNPs) in Holstein dairy cattle associated with mastitis resistance in a GWAS by using a high-density SNP array. Mastitis-resistant (15) and mastitis-susceptible (28) phenotypic extremes were identified from 224 lactating dairy cows on commercial dairy farm located in Utah based on multiple criteria of mastitis resistance over an 8-month period. Twenty-seven quantitative trait loci (QTLs) for mastitis resistance were identified based on 117 SNPs suggestive of genome-wide significance for mastitis resistance (p ≤ 1 × 10-4), including 10 novel QTLs. Seventeen QTLs overlapped previously reported QTLs of traits relevant to mastitis, including four QTLs for teat length. One QTL includes the RAS guanyl-releasing protein 1 gene (RASGRP1), a candidate gene for mastitis resistance. This GWAS identifies 117 candidate SNPs and 27 QTLs for mastitis resistance using a selective genotyping approach, including 10 novel QTLs. Based on overlap with previously identified QTLs, teat length appears to be an important trait in mastitis resistance. RASGRP1, overlapped by one QTL, is a candidate gene for mastitis resistance.

Entities:  

Keywords:  Bovine mastitis resistance; Cattle; Genome-wide association study; Selective genotyping

Mesh:

Substances:

Year:  2018        PMID: 30269158     DOI: 10.1007/s00251-018-1088-9

Source DB:  PubMed          Journal:  Immunogenetics        ISSN: 0093-7711            Impact factor:   2.846


  38 in total

1.  How to interpret a genome-wide association study.

Authors:  Thomas A Pearson; Teri A Manolio
Journal:  JAMA       Date:  2008-03-19       Impact factor: 56.272

2.  Genomic best linear unbiased prediction (gBLUP) for the estimation of genomic breeding values.

Authors:  Samuel A Clark; Julius van der Werf
Journal:  Methods Mol Biol       Date:  2013

3.  Diagnosing intramammary infections: evaluation of composite milk samples to detect intramammary infections.

Authors:  K K Reyher; I R Dohoo
Journal:  J Dairy Sci       Date:  2011-07       Impact factor: 4.034

4.  Quantitative trait loci for clinical mastitis on chromosomes 2, 6, 14 and 20 in Norwegian Red cattle.

Authors:  M Sodeland; M P Kent; H G Olsen; M A Opsal; M Svendsen; E Sehested; B J Hayes; S Lien
Journal:  Anim Genet       Date:  2011-02-15       Impact factor: 3.169

5.  Identification of risk factors for clinical mastitis in dairy heifers.

Authors:  S Waage; S Sviland; S A Odegaard
Journal:  J Dairy Sci       Date:  1998-05       Impact factor: 4.034

Review 6.  Genetics of resistance to mastitis in dairy cattle.

Authors:  Rachel Rupp; Didier Boichard
Journal:  Vet Res       Date:  2003 Sep-Oct       Impact factor: 3.683

7.  Avoiding the high Bonferroni penalty in genome-wide association studies.

Authors:  Xiaoyi Gao; Lewis C Becker; Diane M Becker; Joshua D Starmer; Michael A Province
Journal:  Genet Epidemiol       Date:  2010-01       Impact factor: 2.135

8.  A genome-wide association study for somatic cell score using the Illumina high-density bovine beadchip identifies several novel QTL potentially related to mastitis susceptibility.

Authors:  Brian K Meredith; Donagh P Berry; Francis Kearney; Emma K Finlay; Alan G Fahey; Daniel G Bradley; David J Lynn
Journal:  Front Genet       Date:  2013-11-06       Impact factor: 4.599

9.  A genome-wide association study for clinical mastitis in first parity US Holstein cows using single-step approach and genomic matrix re-weighting procedure.

Authors:  Francesco Tiezzi; Kristen L Parker-Gaddis; John B Cole; John S Clay; Christian Maltecca
Journal:  PLoS One       Date:  2015-02-06       Impact factor: 3.240

10.  Animal QTLdb: an improved database tool for livestock animal QTL/association data dissemination in the post-genome era.

Authors:  Zhi-Liang Hu; Carissa A Park; Xiao-Lin Wu; James M Reecy
Journal:  Nucleic Acids Res       Date:  2012-11-24       Impact factor: 16.971

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  4 in total

Review 1.  Bovine mastitis prevention and control in the post-antibiotic era.

Authors:  Amr El-Sayed; Mohamed Kamel
Journal:  Trop Anim Health Prod       Date:  2021-03-31       Impact factor: 1.559

2.  Genome-Wide Association Studies for Milk Somatic Cell Score in Romanian Dairy Cattle.

Authors:  Daniela Elena Ilie; Alexandru Eugeniu Mizeranschi; Ciprian Valentin Mihali; Radu Ionel Neamț; George Vlad Goilean; Ovidiu Ionuț Georgescu; Daniela Zaharie; Mihai Carabaș; Ioan Huțu
Journal:  Genes (Basel)       Date:  2021-09-24       Impact factor: 4.096

3.  Genome-Wide DNA Methylation Analysis of Mammary Gland Tissues From Chinese Holstein Cows With Staphylococcus aureus Induced Mastitis.

Authors:  Mengqi Wang; Yan Liang; Eveline M Ibeagha-Awemu; Mingxun Li; Huimin Zhang; Zhi Chen; Yujia Sun; Niel A Karrow; Zhangping Yang; Yongjiang Mao
Journal:  Front Genet       Date:  2020-10-19       Impact factor: 4.599

4.  Genetic Diversity and Population Structure for Resistance and Susceptibility to Mastitis in Braunvieh Cattle.

Authors:  Mitzilin Zuleica Trujano-Chavez; Reyna Sánchez-Ramos; Paulino Pérez-Rodríguez; Agustín Ruíz-Flores
Journal:  Vet Sci       Date:  2021-12-14
  4 in total

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