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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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16 X users
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3 patents

Citations

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44 Dimensions

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101 Mendeley
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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, BIOS consortium, 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.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 19%
Student > Master 18 18%
Student > Ph. D. Student 12 12%
Student > Bachelor 8 8%
Student > Postgraduate 7 7%
Other 9 9%
Unknown 28 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 30%
Agricultural and Biological Sciences 17 17%
Medicine and Dentistry 9 9%
Immunology and Microbiology 4 4%
Engineering 3 3%
Other 6 6%
Unknown 32 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 05 October 2022.
All research outputs
#2,006,276
of 25,721,020 outputs
Outputs from BMC Genomics
#447
of 11,308 outputs
Outputs of similar age
#45,429
of 452,619 outputs
Outputs of similar age from BMC Genomics
#11
of 204 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,308 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 96% 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 452,619 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 89% of its contemporaries.
We're also able to compare this research output to 204 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 94% of its contemporaries.