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Quantifying the heritability of testicular germ cell tumour using both population-based and genomic approaches

Overview of attention for article published in Scientific Reports, September 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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14 news outlets
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3 blogs
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Citations

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57 Dimensions

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52 Mendeley
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Title
Quantifying the heritability of testicular germ cell tumour using both population-based and genomic approaches
Published in
Scientific Reports, September 2015
DOI 10.1038/srep13889
Pubmed ID
Authors

Kevin Litchfield, Hauke Thomsen, Jonathan S. Mitchell, Jan Sundquist, Richard S Houlston, Kari Hemminki, Clare Turnbull

Abstract

A sizable fraction of testicular germ cell tumour (TGCT) risk is expected to be explained by heritable factors. Recent genome-wide association studies (GWAS) have successfully identified a number of common SNPs associated with TGCT. It is however, unclear how much common variation there is left to be accounted for by other, yet to be identified, common SNPs and what contribution common genetic variation makes to the heritable risk of TGCT. We approached this question using two complimentary analytical techniques. We undertook a population-based analysis of the Swedish family-cancer database, through which we estimated that the heritability of TGCT at 48.9% (CI:47.2%-52.3%). We also applied Genome-Wide Complex Trait Analysis to 922 cases and 4,842 controls to estimate the heritability of TGCT. The heritability explained by known common risk SNPs identified by GWAS was 9.1%, whereas the heritability explained by all common SNPs was 37.4% (CI:27.6%-47.2%). These complementary findings indicate that the known TGCT SNPs only explain a small proportion of the heritability and many additional common SNPs remain to be identified. The data also suggests that a fraction of the heritability of TGCT is likely to be explained by other classes of genetic variation, such as rare disease-causing alleles.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 17%
Student > Doctoral Student 7 13%
Student > Bachelor 7 13%
Student > Master 7 13%
Researcher 6 12%
Other 5 10%
Unknown 11 21%
Readers by discipline Count As %
Medicine and Dentistry 15 29%
Biochemistry, Genetics and Molecular Biology 10 19%
Agricultural and Biological Sciences 6 12%
Environmental Science 2 4%
Veterinary Science and Veterinary Medicine 1 2%
Other 8 15%
Unknown 10 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 129. 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 15 October 2015.
All research outputs
#279,716
of 23,305,591 outputs
Outputs from Scientific Reports
#3,196
of 125,960 outputs
Outputs of similar age
#3,779
of 268,235 outputs
Outputs of similar age from Scientific Reports
#48
of 2,093 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 125,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 97% 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 268,235 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 2,093 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 97% of its contemporaries.