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Polymorphisms in genes involved in the absorption, distribution, metabolism, and excretion of drugs in the Kazakhs of Kazakhstan

Overview of attention for article published in BMC Genetics, January 2016
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Title
Polymorphisms in genes involved in the absorption, distribution, metabolism, and excretion of drugs in the Kazakhs of Kazakhstan
Published in
BMC Genetics, January 2016
DOI 10.1186/s12863-016-0329-x
Pubmed ID
Authors

Aisha N. Iskakova, Aliya A. Romanova, Akbota M. Aitkulova, Nurgul S. Sikhayeva, Elena V. Zholdybayeva, Erlan M. Ramanculov

Abstract

Studies of genes involved in the absorption, distribution, metabolism, and excretion (ADME) of drugs are crucial to the development of therapeutics in clinical medicine. Such data provide information that may improve our understanding of individual differences in sensitivity or resistance to certain drugs, thereby helping to avoid adverse drug reactions (ADRs) in patients and improve the quality of therapies. Here, we aimed to analyse single nucleotide polymorphisms (SNPs) involved in the ADME of multiple drugs in Kazakhs from Kazakhstan. A total of 158 SNPs involved in the ADME of various drugs were studied. We analysed 320 Kazakh DNA samples using OpenArray genotyping. Of the 158 SNPs, 75 were not found in heterozygous or homozygous variants. Comparative analysis among Kazakhs and world populations showed a fairly high percentage of population differentiation. These results provide further information for pharmacogenetic databases and may contribute to the development of personalized approaches and safer therapies for the Kazakh population. Moreover, these data provide insights into the different racial groups that may have contributed to the Kazakh population.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 21%
Student > Postgraduate 3 16%
Student > Bachelor 3 16%
Researcher 2 11%
Student > Ph. D. Student 1 5%
Other 4 21%
Unknown 2 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 42%
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Agricultural and Biological Sciences 2 11%
Medicine and Dentistry 2 11%
Unknown 5 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 January 2016.
All research outputs
#6,007,465
of 6,997,887 outputs
Outputs from BMC Genetics
#524
of 642 outputs
Outputs of similar age
#258,614
of 315,481 outputs
Outputs of similar age from BMC Genetics
#37
of 48 outputs
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So far Altmetric has tracked 642 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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