Literature DB >> 22939787

Short communication: genotype imputation within and across Nordic cattle breeds.

R F Brøndum1, P Ma, M S Lund, G Su.   

Abstract

This study investigated the accuracies of imputation from 50K genotypes to high-density genotypes for animals from the Danish, Swedish, or Finnish Red dairy cattle populations, using either a national, combined Red, or combined Red and Holstein reference population. Combining the Red populations increased the imputation accuracy for all 3 populations compared with using single-nationality references. Including Holstein animals in the reference further increased the imputation accuracy for Danish Red.
Copyright © 2012 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22939787     DOI: 10.3168/jds.2012-5585

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


  13 in total

1.  Assessing accuracy of genotype imputation in the Afrikaner and Brahman cattle breeds of South Africa.

Authors:  S Mdyogolo; M D MacNeil; F W C Neser; M M Scholtz; M L Makgahlela
Journal:  Trop Anim Health Prod       Date:  2022-02-08       Impact factor: 1.559

2.  Genomic prediction of genetic merit using LD-based haplotypes in the Nordic Holstein population.

Authors:  Beatriz C D Cuyabano; Guosheng Su; Mogens S Lund
Journal:  BMC Genomics       Date:  2014-12-23       Impact factor: 3.969

3.  Impact of QTL properties on the accuracy of multi-breed genomic prediction.

Authors:  Yvonne C J Wientjes; Mario P L Calus; Michael E Goddard; Ben J Hayes
Journal:  Genet Sel Evol       Date:  2015-05-08       Impact factor: 4.297

4.  Association analysis for udder health based on SNP-panel and sequence data in Danish Holsteins.

Authors:  Xiaoping Wu; Mogens S Lund; Goutam Sahana; Bernt Guldbrandtsen; Dongxiao Sun; Qin Zhang; Guosheng Su
Journal:  Genet Sel Evol       Date:  2015-06-19       Impact factor: 4.297

5.  A Single-Step Genome Wide Association Study on Body Size Traits Using Imputation-Based Whole-Genome Sequence Data in Yorkshire Pigs.

Authors:  Huatao Liu; Hailiang Song; Yifan Jiang; Yao Jiang; Fengxia Zhang; Yibing Liu; Yong Shi; Xiangdong Ding; Chuduan Wang
Journal:  Front Genet       Date:  2021-07-02       Impact factor: 4.599

6.  Imputation of high-density genotypes in the Fleckvieh cattle population.

Authors:  Hubert Pausch; Bernhard Aigner; Reiner Emmerling; Christian Edel; Kay-Uwe Götz; Ruedi Fries
Journal:  Genet Sel Evol       Date:  2013-02-13       Impact factor: 4.297

7.  Two molecular measures of relatedness based on haplotype sharing.

Authors:  David Edwards
Journal:  BMC Bioinformatics       Date:  2015-11-11       Impact factor: 3.169

8.  Imputation of non-genotyped individuals based on genotyped relatives: assessing the imputation accuracy of a real case scenario in dairy cattle.

Authors:  Aniek C Bouwman; John M Hickey; Mario P L Calus; Roel F Veerkamp
Journal:  Genet Sel Evol       Date:  2014-02-03       Impact factor: 4.297

9.  Error rate for imputation from the Illumina BovineSNP50 chip to the Illumina BovineHD chip.

Authors:  Chris Schrooten; Romain Dassonneville; Vincent Ducrocq; Rasmus F Brøndum; Mogens S Lund; Jun Chen; Zengting Liu; Oscar González-Recio; Juan Pena; Tom Druet
Journal:  Genet Sel Evol       Date:  2014-02-04       Impact factor: 4.297

10.  Strategies for imputation to whole genome sequence using a single or multi-breed reference population in cattle.

Authors:  Rasmus Froberg Brøndum; Bernt Guldbrandtsen; Goutam Sahana; Mogens Sandø Lund; Guosheng Su
Journal:  BMC Genomics       Date:  2014-08-27       Impact factor: 3.969

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