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Coverage and efficiency in current SNP chips

Overview of attention for article published in European Journal of Human Genetics, January 2014
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Title
Coverage and efficiency in current SNP chips
Published in
European Journal of Human Genetics, January 2014
DOI 10.1038/ejhg.2013.304
Pubmed ID
Authors

Ngoc-Thuy Ha, Saskia Freytag, Heike Bickeboeller

Abstract

To answer the question as to which commercial high-density SNP chip covers most of the human genome given a fixed budget, we compared the performance of 12 chips of different sizes released by Affymetrix and Illumina for the European, Asian, and African populations. These include Affymetrix' relatively new population-optimized arrays, whose SNP sets are each tailored toward a specific ethnicity. Our evaluation of the chips included the use of two measures, efficiency and cost-benefit ratio, which we developed as supplements to genetic coverage. Unlike coverage, these measures factor in the price of a chip or its substitute size (number of SNPs on chip), allowing comparisons to be drawn between differently priced chips. In this fashion, we identified the Affymetrix population-optimized arrays as offering the most cost-effective coverage for the Asian and African population. For the European population, we established the Illumina Human Omni 2.5-8 as the preferred choice. Interestingly, the Affymetrix chip tailored toward an Eastern Asian subpopulation performed well for all three populations investigated. However, our coverage estimates calculated for all chips proved much lower than those advertised by the producers. All our analyses were based on the 1000 Genome Project as reference population.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Brazil 1 <1%
Costa Rica 1 <1%
Canada 1 <1%
Denmark 1 <1%
Unknown 124 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 24%
Researcher 31 24%
Student > Master 13 10%
Student > Bachelor 12 9%
Student > Postgraduate 7 5%
Other 14 11%
Unknown 21 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 40%
Biochemistry, Genetics and Molecular Biology 30 23%
Medicine and Dentistry 8 6%
Computer Science 4 3%
Nursing and Health Professions 2 2%
Other 5 4%
Unknown 29 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 August 2014.
All research outputs
#18,376,056
of 22,760,687 outputs
Outputs from European Journal of Human Genetics
#3,100
of 3,431 outputs
Outputs of similar age
#228,591
of 305,773 outputs
Outputs of similar age from European Journal of Human Genetics
#29
of 31 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,431 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.