| Title |
Clinically relevant genetic variants of drug-metabolizing enzyme and transporter genes detected in Thai children and adolescents with autism spectrum disorder
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, April 2016
|
| DOI | 10.2147/ndt.s101580 |
| Pubmed ID | |
| Authors |
Sadeep Medhasi, Ekawat Pasomsub, Natchaya Vanwong, Nattawat Ngamsamut, Apichaya Puangpetch, Montri Chamnanphon, Yaowaluck Hongkaew, Penkhae Limsila, Darawan Pinthong, Chonlaphat Sukasem |
| Abstract |
Single-nucleotide polymorphisms (SNPs) among drug-metabolizing enzymes and transporters (DMETs) influence the pharmacokinetic profile of drugs and exhibit intra- and interethnic variations in drug response in terms of efficacy and safety profile. The main objective of this study was to assess the frequency of allelic variants of drug absorption, distribution, metabolism, and elimination-related genes in Thai children and adolescents with autism spectrum disorder. Blood samples were drawn from 119 patients, and DNA was extracted. Genotyping was performed using the DMET Plus microarray platform. The allele frequencies of the DMET markers were generated using the DMET Console software. Thereafter, the genetic variations of significant DMET genes were assessed. The frequencies of SNPs across the genes coding for DMETs were determined. After filtering the SNPs, 489 of the 1,931 SNPs passed quality control. Many clinically relevant SNPs, including CYP2C19*2, CYP2D6*10, CYP3A5*3, and SLCO1B1*5, were found to have frequencies similar to those in the Chinese population. These data are important for further research to investigate the interpatient variability in pharmacokinetics and pharmacodynamics of drugs in clinical practice. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 21% |
| Student > Master | 5 | 17% |
| Other | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Researcher | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 21% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 14% |
| Agricultural and Biological Sciences | 2 | 7% |
| Neuroscience | 2 | 7% |
| Psychology | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 9 | 31% |
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 31 October 2022.
All research outputs
#14,914,476
of 25,373,627 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,360
of 3,132 outputs
Outputs of similar age
#154,384
of 314,725 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#46
of 83 outputs
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