Literature DB >> 27344389

Association analysis for feet and legs disorders with whole-genome sequence variants in 3 dairy cattle breeds.

Xiaoping Wu1, Bernt Guldbrandtsen2, Mogens Sandø Lund2, Goutam Sahana2.   

Abstract

Identification of genetic variants associated with feet and legs disorders (FLD) will aid in the genetic improvement of these traits by providing knowledge on genes that influence trait variations. In Denmark, FLD in cattle has been recorded since the 1990s. In this report, we used deregressed breeding values as response variables for a genome-wide association study. Bulls (5,334 Danish Holstein, 4,237 Nordic Red Dairy Cattle, and 1,180 Danish Jersey) with deregressed estimated breeding values were genotyped with the Illumina Bovine 54k single nucleotide polymorphism (SNP) genotyping array. Genotypes were imputed to whole-genome sequence variants, and then 22,751,039 SNP on 29 autosomes were used for an association analysis. A modified linear mixed-model approach (efficient mixed-model association eXpedited, EMMAX) and a linear mixed model were used for association analysis. We identified 5 (3,854 SNP), 3 (13,642 SNP), and 0 quantitative trait locus (QTL) regions associated with the FLD index in Danish Holstein, Nordic Red Dairy Cattle, and Danish Jersey populations, respectively. We did not identify any QTL that were common among the 3 breeds. In a meta-analysis of the 3 breeds, 4 QTL regions were significant, but no additional QTL region was identified compared with within-breed analyses. Comparison between top SNP locations within these QTL regions and known genes suggested that RASGRP1, LCORL, MOS, and MITF may be candidate genes for FLD in dairy cattle.
Copyright © 2016 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  feet and legs disorders; genome-wide association; meta-analysis; mixed model

Mesh:

Substances:

Year:  2016        PMID: 27344389     DOI: 10.3168/jds.2015-10705

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


  11 in total

1.  Genome-wide Association Studies for Female Fertility Traits in Chinese and Nordic Holsteins.

Authors:  Aoxing Liu; Yachun Wang; Goutam Sahana; Qin Zhang; Lin Liu; Mogens Sandø Lund; Guosheng Su
Journal:  Sci Rep       Date:  2017-08-16       Impact factor: 4.379

2.  Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds.

Authors:  Lingzhao Fang; Goutam Sahana; Peipei Ma; Guosheng Su; Ying Yu; Shengli Zhang; Mogens Sandø Lund; Peter Sørensen
Journal:  BMC Genomics       Date:  2017-08-10       Impact factor: 3.969

3.  Exploring the genetic architecture and improving genomic prediction accuracy for mastitis and milk production traits in dairy cattle by mapping variants to hepatic transcriptomic regions responsive to intra-mammary infection.

Authors:  Lingzhao Fang; Goutam Sahana; Peipei Ma; Guosheng Su; Ying Yu; Shengli Zhang; Mogens Sandø Lund; Peter Sørensen
Journal:  Genet Sel Evol       Date:  2017-05-12       Impact factor: 4.297

4.  Integrating Sequence-based GWAS and RNA-Seq Provides Novel Insights into the Genetic Basis of Mastitis and Milk Production in Dairy Cattle.

Authors:  Lingzhao Fang; Goutam Sahana; Guosheng Su; Ying Yu; Shengli Zhang; Mogens Sandø Lund; Peter Sørensen
Journal:  Sci Rep       Date:  2017-03-30       Impact factor: 4.379

5.  MicroRNA-guided prioritization of genome-wide association signals reveals the importance of microRNA-target gene networks for complex traits in cattle.

Authors:  Lingzhao Fang; Peter Sørensen; Goutam Sahana; Frank Panitz; Guosheng Su; Shengli Zhang; Ying Yu; Bingjie Li; Li Ma; George Liu; Mogens Sandø Lund; Bo Thomsen
Journal:  Sci Rep       Date:  2018-06-19       Impact factor: 4.379

6.  Weighting sequence variants based on their annotation increases the power of genome-wide association studies in dairy cattle.

Authors:  Zexi Cai; Bernt Guldbrandtsen; Mogens Sandø Lund; Goutam Sahana
Journal:  Genet Sel Evol       Date:  2019-05-10       Impact factor: 4.297

7.  Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle.

Authors:  Zexi Cai; Bernt Guldbrandtsen; Mogens Sandø Lund; Goutam Sahana
Journal:  BMC Genet       Date:  2019-01-29       Impact factor: 2.797

8.  Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle.

Authors:  Zexi Cai; Bernt Guldbrandtsen; Mogens Sandø Lund; Goutam Sahana
Journal:  BMC Genet       Date:  2018-05-11       Impact factor: 2.797

9.  Prioritizing candidate genes post-GWAS using multiple sources of data for mastitis resistance in dairy cattle.

Authors:  Zexi Cai; Bernt Guldbrandtsen; Mogens Sandø Lund; Goutam Sahana
Journal:  BMC Genomics       Date:  2018-09-06       Impact factor: 3.969

10.  Distinguishing pleiotropy from linked QTL between milk production traits and mastitis resistance in Nordic Holstein cattle.

Authors:  Zexi Cai; Magdalena Dusza; Bernt Guldbrandtsen; Mogens Sandø Lund; Goutam Sahana
Journal:  Genet Sel Evol       Date:  2020-04-07       Impact factor: 4.297

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