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A SNP panel for identification of DNA and RNA specimens

Overview of attention for article published in BMC Genomics, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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15 tweeters
patent
1 patent

Citations

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8 Dimensions

Readers on

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42 Mendeley
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1 CiteULike
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Title
A SNP panel for identification of DNA and RNA specimens
Published in
BMC Genomics, January 2018
DOI 10.1186/s12864-018-4482-7
Pubmed ID
Authors

Soheil Yousefi, Tooba Abbassi-Daloii, Thirsa Kraaijenbrink, Martijn Vermaat, Hailiang Mei, Peter van ‘t Hof, Maarten van Iterson, Daria V. Zhernakova, Annique Claringbould, Lude Franke, Leen M. ‘t Hart, Roderick C. Slieker, Amber van der Heijden, Peter de Knijff, Peter A. C. ’t Hoen

Abstract

SNP panels that uniquely identify an individual are useful for genetic and forensic research. Previously recommended SNP panels are based on DNA profiles and mostly contain intragenic SNPs. With the increasing interest in RNA expression profiles, we aimed for establishing a SNP panel for both DNA and RNA-based genotyping. To determine a small set of SNPs with maximally discriminative power, genotype calls were obtained from DNA and blood-derived RNA sequencing data belonging to healthy, geographically dispersed, Dutch individuals. SNPs were selected based on different criteria like genotype call rate, minor allele frequency, Hardy-Weinberg equilibrium and linkage disequilibrium. A panel of 50 SNPs was sufficient to identify an individual uniquely: the probability of identity was 6.9 × 10- 20 when assuming no family relations and 1.2 × 10- 10 when accounting for the presence of full sibs. The ability of the SNP panel to uniquely identify individuals on DNA and RNA level was validated in an independent population dataset. The panel is applicable to individuals from European descent, with slightly lower power in non-Europeans. Whereas most of the genes containing the 50 SNPs are expressed in various tissues, our SNP panel needs optimization for other tissues than blood. This first DNA/RNA SNP panel will be useful to identify sample mix-ups in biomedical research and for assigning DNA and RNA stains in crime scenes to unique individuals.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 19%
Researcher 8 19%
Student > Ph. D. Student 7 17%
Student > Postgraduate 6 14%
Student > Bachelor 3 7%
Other 4 10%
Unknown 6 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 43%
Agricultural and Biological Sciences 10 24%
Medicine and Dentistry 5 12%
Social Sciences 1 2%
Engineering 1 2%
Other 0 0%
Unknown 7 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 12 December 2019.
All research outputs
#1,362,697
of 15,211,297 outputs
Outputs from BMC Genomics
#499
of 8,650 outputs
Outputs of similar age
#47,655
of 363,588 outputs
Outputs of similar age from BMC Genomics
#2
of 25 outputs
Altmetric has tracked 15,211,297 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,650 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 94% 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 363,588 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.