Lack of association of a single-nucleotide polymorphism of the ?-opioid receptor gene with anxiety-related traits: Results from a cross-sectional study of adults and a longitudinal study of children

2002 ◽  
Vol 114 (6) ◽  
pp. 659-664 ◽  
Author(s):  
Anthony F. Jorm ◽  
Margot Prior ◽  
Ann Sanson ◽  
Diana Smart ◽  
Yafei Zhang ◽  
...  
Author(s):  
Miquel Martorell ◽  
Lorena Mardones ◽  
Fanny Petermann-Rocha ◽  
Maria Adela Martinez-Sanguinetti ◽  
Ana Maria Leiva-Ordoñez ◽  
...  

Background: Genetic variants within the FTO gene have been associated with increased adiposity and metabolic markers; however, there is limited evidence regarding the association of FTO gene variants with physical activity-related variables. The authors aimed to investigate the association of the rs17817449 single-nucleotide polymorphism of FTO with physical activity, sedentary time, and cardiorespiratory fitness in Chilean adults. Methods: A total of 409 participants from the GENADIO study were included and genotyped for the rs17817449 single-nucleotide polymorphism of FTO in this cross-sectional study. Physical activity and sedentary time were measured with ActiGraph accelerometers. Cardiorespiratory fitness was assessed using the Chester step test. The associations were assessed by using multivariate regression analyses. Results: No associations were found for FTO variant with physical activity levels and cardiorespiratory fitness. The risk allele (G) of the FTO was found to be associated with sedentary time in the minimally adjusted model (β = 19.7 min/d; 95% confidence interval, 4.0 to 35.5, per each copy of the risk allele; P = .006), but the association was no longer significant when body mass index was included as a confounder (P = .211). Conclusion: The rs17817449 single-nucleotide polymorphism of the FTO gene was not associated with the level of physical activity, cardiorespiratory fitness, and sedentary behaviors in Chilean adults.


2002 ◽  
Vol 97 (4) ◽  
pp. 814-819 ◽  
Author(s):  
Jörn Lötsch ◽  
Michael Zimmermann ◽  
Jutta Darimont ◽  
Claudia Marx ◽  
Rafael Dudziak ◽  
...  

Background Some, but not all, patients with renal dysfunction suffer from side effects after morphine administration because of accumulation of the active metabolite morphine-6-glucuronide (M6G). The current study aims to identify genetic causes that put patients at risk for, or protect them from, opioid side effects related to high plasma M6G. Candidate genetic causes are the single nucleotide polymorphism (SNP) A118G of the mu-opioid-receptor gene (OPRM1), which has recently been identified to result in decreased potency of M6G, and mutations in the MDR1-gene coding P-glycoprotein, of which morphine and M6G might be a substrate. Methods Two men, aged 87 and 65 yr, with renal failure (creatinine clearance of 6 and 9 ml/min) received 30 mg/day oral morphine for pain treatment. Both patients had sufficient analgesia from morphine. However, while one patient tolerated morphine well despite high plasma M6G of 1735 nM, in the patient with M6G plasma concentrations of 941 nM it caused severe sleepiness and drowsiness. Patients were genotyped for known SNPs of the OPRM1 and MDR1 genes. Results The patient who tolerated morphine well despite high plasma M6G was a homozygous carrier of the mutated G118 allele of the mu-opioid-receptor gene, which has been previously related to decreased M6G potency. In contrast, the patient who suffered from side effects was "wild-type" for this mutation. No other differences were found between the OPRM1 and MDR1 genes. Conclusions The authors hypothesize that the A118G single nucleotide polymorphism of the mu-opioid-receptor is among the protective factors against M6G-related opioid toxicity. The observation encourages the search for pharmacogenetic reasons that cause interindividual variability of the clinical effects of morphine.


2018 ◽  
Vol 1 (32) ◽  
pp. 39-43
Author(s):  
Duy Anh Ngo ◽  
Trung Thien Tran ◽  
Anh Tuan Nguyen ◽  
Thanh Tien Nguyen

The aim of this study is to identify CYP2C19*2 single nucleotide polymorphisms in patients with gastritis at TraVinh General Hospital. A cross-sectional study was conducted in 280 endoscopic gastric biopsy samples of patients with gastritis at TraVinh General Hospital. CYP2C19*2 genotypes were determined by realtime PCR method using TaqMan probes. Data were stored and analyzed by IBM SPSS Statistic (version 20.0; Armonk, New York, USA) and Excel 2010. The prevallelece of GG, AG and AA genotypes were 51.8, 39.6 and 8.6% correspondingly. The ratio of allele G and A were 0.716 and 0.284 respectively. The correlation of CYP2C19*2 polymorphisms with age (p=0.891), gender (p=0.652) was not significantly distinguished


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