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Genetic variation in human drug-related genes

Overview of attention for article published in Genome Medicine, December 2017
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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5 news outlets
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38 X users

Citations

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104 Dimensions

Readers on

mendeley
216 Mendeley
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2 CiteULike
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Title
Genetic variation in human drug-related genes
Published in
Genome Medicine, December 2017
DOI 10.1186/s13073-017-0502-5
Pubmed ID
Authors

Charlotta Pauline Irmgard Schärfe, Roman Tremmel, Matthias Schwab, Oliver Kohlbacher, Debora Susan Marks

Abstract

Variability in drug efficacy and adverse effects are observed in clinical practice. While the extent of genetic variability in classic pharmacokinetic genes is rather well understood, the role of genetic variation in drug targets is typically less studied. Based on 60,706 human exomes from the ExAC dataset, we performed an in-depth computational analysis of the prevalence of functional variants in 806 drug-related genes, including 628 known drug targets. We further computed the likelihood of 1236 FDA-approved drugs to be affected by functional variants in their targets in the whole ExAC population as well as different geographic sub-populations. We find that most genetic variants in drug-related genes are very rare (f < 0.1%) and thus will likely not be observed in clinical trials. Furthermore, we show that patient risk varies for many drugs and with respect to geographic ancestry. A focused analysis of oncological drug targets indicates that the probability of a patient carrying germline variants in oncological drug targets is, at 44%, high enough to suggest that not only somatic alterations but also germline variants carried over into the tumor genome could affect the response to antineoplastic agents. This study indicates that even though many variants are very rare and thus likely not observed in clinical trials, four in five patients are likely to carry a variant with possibly functional effects in a target for commonly prescribed drugs. Such variants could potentially alter drug efficacy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 215 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 17%
Student > Ph. D. Student 32 15%
Student > Bachelor 28 13%
Student > Master 22 10%
Other 11 5%
Other 36 17%
Unknown 51 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 63 29%
Agricultural and Biological Sciences 27 13%
Pharmacology, Toxicology and Pharmaceutical Science 23 11%
Medicine and Dentistry 16 7%
Engineering 7 3%
Other 25 12%
Unknown 55 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 59. 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 13 April 2024.
All research outputs
#736,712
of 25,734,859 outputs
Outputs from Genome Medicine
#138
of 1,610 outputs
Outputs of similar age
#16,583
of 450,193 outputs
Outputs of similar age from Genome Medicine
#6
of 32 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,610 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done particularly well, scoring higher than 91% 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 450,193 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 96% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.