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Genetics of pleiotropic effects of dexamethasone

Overview of attention for article published in Pharmacogenetics and Genomics, August 2017
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Title
Genetics of pleiotropic effects of dexamethasone
Published in
Pharmacogenetics and Genomics, August 2017
DOI 10.1097/fpc.0000000000000293
Pubmed ID
Authors

Laura B. Ramsey, Stan Pounds, Cheng Cheng, Xueyuan Cao, Wenjian Yang, Colton Smith, Seth E. Karol, Chengcheng Liu, John C. Panetta, Hiroto Inaba, Jeffrey E. Rubnitz, Monika L. Metzger, Raul C. Ribeiro, John T. Sandlund, Sima Jeha, Ching-Hon Pui, William E. Evans, Mary V. Relling

Abstract

Glucocorticoids such as dexamethasone have pleiotropic effects, including desired antileukemic, anti-inflammatory, or immunosuppressive effects, and undesired metabolic or toxic effects. The most serious adverse effects of dexamethasone among patients with acute lymphoblastic leukemia are osteonecrosis and thrombosis. To identify inherited genomic variation involved in these severe adverse effects, we carried out genome-wide association studies (GWAS) by analyzing 14 pleiotropic glucocorticoid phenotypes in 391 patients with acute lymphoblastic leukemia. We used the Projection Onto the Most Interesting Statistical Evidence integrative analysis technique to identify genetic variants associated with pleiotropic dexamethasone phenotypes, stratifying for age, sex, race, and treatment, and compared the results with conventional single-phenotype GWAS. The phenotypes were osteonecrosis, central nervous system toxicity, hyperglycemia, hypokalemia, thrombosis, dexamethasone exposure, BMI, growth trajectory, and levels of cortisol, albumin, and asparaginase antibodies, and changes in cholesterol, triglycerides, and low-density lipoproteins after dexamethasone. The integrative analysis identified more pleiotropic single nucleotide polymorphism variants (P=1.46×10), and these variants were more likely to be in gene-regulatory regions (P=1.22×10) than traditional single-phenotype GWAS. The integrative analysis yielded genomic variants (rs2243057 and rs6453253) in F2RL1, a receptor that functions in hemostasis, thrombosis, and inflammation, which were associated with pleiotropic effects, including osteonecrosis and thrombosis, and were in regulatory gene regions. The integrative pleiotropic analysis identified risk variants for osteonecrosis and thrombosis not identified by single-phenotype analysis that may have importance for patients with underlying sensitivity to multiple dexamethasone adverse effects.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 19%
Student > Ph. D. Student 8 19%
Student > Master 7 17%
Student > Bachelor 5 12%
Other 3 7%
Other 4 10%
Unknown 7 17%
Readers by discipline Count As %
Medicine and Dentistry 12 29%
Pharmacology, Toxicology and Pharmaceutical Science 5 12%
Biochemistry, Genetics and Molecular Biology 5 12%
Agricultural and Biological Sciences 4 10%
Nursing and Health Professions 1 2%
Other 5 12%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 June 2018.
All research outputs
#16,584,977
of 25,382,440 outputs
Outputs from Pharmacogenetics and Genomics
#787
of 1,236 outputs
Outputs of similar age
#196,185
of 327,503 outputs
Outputs of similar age from Pharmacogenetics and Genomics
#9
of 13 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,236 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 327,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.