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An epidemiological perspective on the future of direct-to-consumer personal genome testing

Overview of attention for article published in Investigative Genetics, October 2010
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
9 news outlets
blogs
6 blogs
twitter
9 X users

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
109 Mendeley
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Title
An epidemiological perspective on the future of direct-to-consumer personal genome testing
Published in
Investigative Genetics, October 2010
DOI 10.1186/2041-2223-1-10
Pubmed ID
Authors

A Cecile JW Janssens, Cornelia M van Duijn

Abstract

Personal genome testing is offered via the internet directly to consumers. Most tests that are currently offered use data from genome-wide scans to predict risks for multiple common diseases and traits. The utility of these tests is limited, predominantly because they lack predictive ability and clear benefits for disease prevention that are specific for genetic risk groups. In the near future, personal genome tests will likely be based on whole genome sequencing, but will these technological advances increase the utility of personal genome testing? Whole genome sequencing theoretically provides information about the risks of both monogenic and complex diseases, but the practical utility remains to be demonstrated. The utility of testing depends on the predictive ability of the test, the likelihood of actionable test results, and the options available for the reduction of risks. For monogenic diseases, the likelihood of known mutations will be extremely low in the general population and it will be a challenge to recognize new causal variants among all rare variants that are found using sequencing. For complex diseases, the predictive ability of genetic tests will be mainly restricted by the heritability of the disease, but also by the genetic complexity of the disease etiology, which determines the extent to which the heritability can be understood. Given that numerous genetic and non-genetic risk factors interact in the causation of complex diseases, the predictive ability of genetic models will likely remain modest. Personal genome testing will have minimal benefits for individual consumers unless major breakthroughs are made in the near future.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 2 2%
Switzerland 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Norway 1 <1%
Finland 1 <1%
Poland 1 <1%
Unknown 101 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 22%
Researcher 14 13%
Student > Bachelor 13 12%
Student > Ph. D. Student 12 11%
Student > Doctoral Student 9 8%
Other 28 26%
Unknown 9 8%
Readers by discipline Count As %
Medicine and Dentistry 36 33%
Agricultural and Biological Sciences 25 23%
Biochemistry, Genetics and Molecular Biology 10 9%
Social Sciences 6 6%
Nursing and Health Professions 4 4%
Other 12 11%
Unknown 16 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 118. 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 23 January 2019.
All research outputs
#354,982
of 25,373,627 outputs
Outputs from Investigative Genetics
#3
of 94 outputs
Outputs of similar age
#891
of 108,070 outputs
Outputs of similar age from Investigative Genetics
#1
of 7 outputs
Altmetric has tracked 25,373,627 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 94 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. 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 108,070 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 99% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them