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

Overview of attention for article published in BMC Genomics, August 2014
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Title
Strategies for imputation to whole genome sequence using a single or multi-breed reference population in cattle
Published in
BMC Genomics, August 2014
DOI 10.1186/1471-2164-15-728
Pubmed ID
Authors

Rasmus Froberg Brøndum, Bernt Guldbrandtsen, Goutam Sahana, Mogens Sandø Lund, Guosheng Su

Abstract

The advent of low cost next generation sequencing has made it possible to sequence a large number of dairy and beef bulls which can be used as a reference for imputation of whole genome sequence data. The aim of this study was to investigate the accuracy and speed of imputation from a high density SNP marker panel to whole genome sequence level. Data contained 132 Holstein, 42 Jersey, 52 Nordic Red and 16 Brown Swiss bulls with whole genome sequence data; 16 Holstein, 27 Jersey and 29 Nordic Reds had previously been typed with the bovine high density SNP panel and were used for validation. We investigated the effect of enlarging the reference population by combining data across breeds on the accuracy of imputation, and the accuracy and speed of both IMPUTE2 and BEAGLE using either genotype probability reference data or pre-phased reference data. All analyses were done on Bovine autosome 29 using 387,436 bi-allelic variants and 13,612 SNP markers from the bovine HD panel.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
New Zealand 1 <1%
Finland 1 <1%
Spain 1 <1%
Belgium 1 <1%
Unknown 102 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 26%
Researcher 23 21%
Student > Master 14 13%
Student > Doctoral Student 8 7%
Professor > Associate Professor 5 5%
Other 13 12%
Unknown 18 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 67%
Veterinary Science and Veterinary Medicine 6 6%
Biochemistry, Genetics and Molecular Biology 6 6%
Medicine and Dentistry 3 3%
Nursing and Health Professions 1 <1%
Other 1 <1%
Unknown 19 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 30 March 2016.
All research outputs
#7,778,730
of 25,374,917 outputs
Outputs from BMC Genomics
#3,316
of 11,244 outputs
Outputs of similar age
#71,561
of 247,205 outputs
Outputs of similar age from BMC Genomics
#77
of 267 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 69% of its peers.
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 247,205 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 70% of its contemporaries.
We're also able to compare this research output to 267 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 70% of its contemporaries.