Literature DB >> 28551195

Association analysis for young stock survival index with imputed whole-genome sequence variants in Nordic Holstein cattle.

Xiaoping Wu1, Bernt Guldbrandtsen1, Ulrik Sander Nielsen2, Mogens Sandø Lund1, Goutam Sahana3.   

Abstract

Identification of the genetic variants associated with calf survival in dairy cattle will aid in the elimination of harmful mutations from the cattle population and the reduction of calf and young stock mortality rates. We used de-regressed estimated breeding values for the young stock survival (YSS) index as response variables in a genome-wide association study with imputed whole-genome sequence variants. A total of 4,610 bulls with estimated breeding values were genotyped with the Illumina BovineSNP50 (Illumina, San Diego, CA) single nucleotide polymorphism (SNP) genotyping array. Genotypes were imputed to whole-genome sequence variants. After quality control, 15,419,550 SNP on 29 Bos taurus autosomes (BTA) were used for association analysis. A modified mixed-model association analysis was used for a genome scan, followed by a linear mixed-model analysis for selected genetic variants. We identified 498 SNP on BTA5 and BTA18 that were associated with the YSS index in Nordic Holstein. The SNP rs440345507 (Chr5:94721790) on BTA5 was the putative causal mutation affecting YSS. Two haplotype-based models were used to identify haplotypes with the largest detrimental effects on YSS index. For each association signal, 1 haplotype region with harmful effects and the lead associated SNP were identified. Detected haplotypes on BTA5 and BTA18 explained 1.16 and 1.20%, respectively, of genetic variance for the YSS index. We examined whether YSS quantitative trait loci (QTL) on BTA5 and BTA18 were associated with stillbirth. YSS QTL on BTA18 overlapped a QTL region for stillbirth, but most likely 2 different causal variants were responsible for these 2 QTL. Four component traits of the YSS index, defined by sex and age, were analyzed separately by the modified mixed-model approach. The same genomic regions were associated with both bull and heifer calf mortality. Several genes (EPS8, LOC100138951, and KLK family genes) contained a lead associated SNP or were included in haplotypes with large detrimental effects on YSS in Nordic Holstein cattle.
Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  calf mortality; genome-wide association; quantitative trait loci; young stock survival

Mesh:

Year:  2017        PMID: 28551195     DOI: 10.3168/jds.2017-12688

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


  5 in total

1.  Human-Mediated Introgression of Haplotypes in a Modern Dairy Cattle Breed.

Authors:  Qianqian Zhang; Mario P L Calus; Mirte Bosse; Goutam Sahana; Mogens Sandø Lund; Bernt Guldbrandtsen
Journal:  Genetics       Date:  2018-05-30       Impact factor: 4.562

2.  Genetic and epigenetic architecture of paternal origin contribute to gestation length in cattle.

Authors:  Lingzhao Fang; Jicai Jiang; Bingjie Li; Yang Zhou; Ellen Freebern; Paul M Vanraden; John B Cole; George E Liu; Li Ma
Journal:  Commun Biol       Date:  2019-03-14

3.  In vivo model to study the impact of genetic variation on clinical outcome of mastitis in uniparous dairy cows.

Authors:  L Rohmeier; W Petzl; M Koy; T Eickhoff; A Hülsebusch; S Jander; L Macias; A Heimes; S Engelmann; M Hoedemaker; H M Seyfert; C Kühn; H J Schuberth; H Zerbe; M M Meyerholz
Journal:  BMC Vet Res       Date:  2020-01-31       Impact factor: 2.741

4.  Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires.

Authors:  Gerson A Oliveira Júnior; Daniel J A Santos; Aline S M Cesar; Solomon A Boison; Ricardo V Ventura; Bruno C Perez; José F Garcia; José Bento S Ferraz; Dorian J Garrick
Journal:  J Anim Sci Biotechnol       Date:  2019-12-16

5.  Reliabilities of Genomic Prediction for Young Stock Survival Traits Using 54K SNP Chip Augmented With Additional Single-Nucleotide Polymorphisms Selected From Imputed Whole-Genome Sequencing Data.

Authors:  Grum Gebreyesus; Mogens Sandø Lund; Goutam Sahana; Guosheng Su
Journal:  Front Genet       Date:  2021-07-19       Impact factor: 4.599

  5 in total

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