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

Overview of attention for article published in PLOS ONE, March 2012
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Citations

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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.

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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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2023.
All research outputs
#8,262,193
of 26,017,215 outputs
Outputs from PLOS ONE
#111,212
of 225,486 outputs
Outputs of similar age
#53,946
of 175,239 outputs
Outputs of similar age from PLOS ONE
#1,372
of 3,735 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 225,486 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 175,239 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 3,735 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.