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Pharmacogenomics of Hypertension and Preeclampsia: Focus on Gene–Gene Interactions

Overview of attention for article published in Frontiers in Pharmacology, February 2018
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Title
Pharmacogenomics of Hypertension and Preeclampsia: Focus on Gene–Gene Interactions
Published in
Frontiers in Pharmacology, February 2018
DOI 10.3389/fphar.2018.00168
Pubmed ID
Authors

Marcelo R. Luizon, Daniela A. Pereira, Valeria C. Sandrim

Abstract

Hypertension is a leading cause of cardiovascular mortality, but only about half of patients on antihypertensive therapy achieve blood pressure control. Preeclampsia is defined as pregnancy-induced hypertension and proteinuria, and is associated with increased maternal and perinatal mortality and morbidity. Similarly, a large number of patients with preeclampsia are non-responsive to antihypertensive therapy. Pharmacogenomics may help to guide the personalized treatment for non-responsive hypertensive patients. There is evidence for the association of genetic variants with variable response to the most commonly used antihypertensive drugs. However, further replication is needed to confirm these associations in different populations. The failure to replicate findings from single-locus association studies has prompted the search for novel statistical methods for data analysis, which are required to detect the complex effects from multiple genes to drug response phenotypes. Notably, gene-gene interaction analyses have been applied to pharmacogenetic studies, including antihypertensive drug response. In this perspective article, we present advances of considering the interactions among genetic polymorphisms of different candidate genes within pathways relevant to antihypertensive drug response, and we highlight recent findings related to gene-gene interactions on pharmacogenetics of hypertension and preeclampsia. Finally, we discuss the future directions that are needed to unravel additional genes and variants involved in the responsiveness to antihypertensive drugs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 16%
Student > Master 7 14%
Researcher 6 12%
Student > Doctoral Student 4 8%
Student > Ph. D. Student 3 6%
Other 8 16%
Unknown 15 29%
Readers by discipline Count As %
Medicine and Dentistry 9 18%
Pharmacology, Toxicology and Pharmaceutical Science 7 14%
Agricultural and Biological Sciences 6 12%
Biochemistry, Genetics and Molecular Biology 5 10%
Mathematics 1 2%
Other 2 4%
Unknown 21 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 March 2018.
All research outputs
#14,481,318
of 25,728,350 outputs
Outputs from Frontiers in Pharmacology
#4,313
of 19,995 outputs
Outputs of similar age
#166,957
of 345,055 outputs
Outputs of similar age from Frontiers in Pharmacology
#90
of 356 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,995 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 78% 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 345,055 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 356 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.