↓ Skip to main content

PLOS

Design of a Bovine Low-Density SNP Array Optimized for Imputation

Overview of attention for article published in PLOS ONE, March 2012
Altmetric Badge

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
155 Dimensions

Readers on

mendeley
182 Mendeley
citeulike
1 CiteULike
Title
Design of a Bovine Low-Density SNP Array Optimized for Imputation
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0034130
Pubmed ID
Authors

Didier Boichard, Hoyoung Chung, Romain Dassonneville, Xavier David, André Eggen, Sébastien Fritz, Kimberly J. Gietzen, Ben J. Hayes, Cynthia T. Lawley, Tad S. Sonstegard, Curtis P. Van Tassell, Paul M. VanRaden, Karine A. Viaud-Martinez, George R. Wiggans

Abstract

The Illumina BovineLD BeadChip was designed to support imputation to higher density genotypes in dairy and beef breeds by including single-nucleotide polymorphisms (SNPs) that had a high minor allele frequency as well as uniform spacing across the genome except at the ends of the chromosome where densities were increased. The chip also includes SNPs on the Y chromosome and mitochondrial DNA loci that are useful for determining subspecies classification and certain paternal and maternal breed lineages. The total number of SNPs was 6,909. Accuracy of imputation to Illumina BovineSNP50 genotypes using the BovineLD chip was over 97% for most dairy and beef populations. The BovineLD imputations were about 3 percentage points more accurate than those from the Illumina GoldenGate Bovine3K BeadChip across multiple populations. The improvement was greatest when neither parent was genotyped. The minor allele frequencies were similar across taurine beef and dairy breeds as was the proportion of SNPs that were polymorphic. The new BovineLD chip should facilitate low-cost genomic selection in taurine beef and dairy cattle.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Brazil 2 1%
France 1 <1%
Australia 1 <1%
Finland 1 <1%
Colombia 1 <1%
New Zealand 1 <1%
Poland 1 <1%
Unknown 169 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 24%
Student > Ph. D. Student 39 21%
Student > Master 21 12%
Student > Doctoral Student 13 7%
Student > Postgraduate 8 4%
Other 28 15%
Unknown 29 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 108 59%
Biochemistry, Genetics and Molecular Biology 20 11%
Veterinary Science and Veterinary Medicine 8 4%
Medicine and Dentistry 5 3%
Computer Science 4 2%
Other 6 3%
Unknown 31 17%