Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:2.6.1.44 (AGT)
770 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Research suggests pulse pressure (PP) is a predictor of cardiovascular disease, and genes likely influence PP levels. Additionally, gender may be an effect modifier between PP and cardiovascular disease. This study addresses whether two renin-angiotensin-aldosterone system (RAAS) variants are associated with PP in a sex-specific manner (genotype-by-sex interaction). Subjects comprised 35,048 GenHAT study participants over 55 years old, approximately half were women and half non-Hispanic white. Blood pressure measurements were obtained 6 months after randomization to one of four antihypertensive medications. The polymorphisms considered were AGT-6 and ACE-I/D. We employed linear regression to assess the interaction. AGT-6 showed a significant (p < 0.001) genotype-by-sex interaction. Men with the 'G/G' genotype had a higher PP (0.6 mm HG) than men carrying an 'A' allele, while 'G/G' women had a lower PP (0.7 mm Hg) than women carrying an 'A' allele. Three of the four treatment groups (chlorthalidone, amlodipine and lisinopril) suggested a consistent interaction in sub-group analyses (only amlodipine was statistically significant, p < 0.001), whereas doxazosin did not. The interaction was evident among non-Hispanic participants but not among Hispanic participants. For ACE-I/D no evidence for a genotype-by-sex interaction was detected. This finding of genotype-by-sex interaction on PP helps our understanding of the complexity of genetic effects on blood pressure.
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PMID:Sex-specific effects of AGT-6 and ACE I/D on pulse pressure after 6 months on antihypertensive treatment: the GenHAT study. 1760 90

Quetiapine is an atypical antipsychotic used for treatment of schizophrenia. Variability in response to this drug may be associated with pharmacogenetics. The aim of this study was to identify genetic markers related to the pharmacokinetics, pharmacodynamics, and adverse effects of quetiapine. The study population comprised 79 healthy volunteers from two bioequivalence trials who were genotyped to identify polymorphisms in genes encoding enzymes, receptors, and transporters. Quetiapine plasma levels were quantified using high-performance liquid chromatography/mass spectrometry. Prolactin plasma levels were detected by indirect chemiluminescence. Possible adverse effects were recorded throughout the study. Factors with P value of 0.1 or less in the univariate analysis were included in a multiple regression analysis (logistic regression for adverse reactions). The area under the curve and clearance of quetiapine were affected by polymorphisms in CYP1A2 and DRD3, respectively. Men had a lower quetiapine area under the curve compared with women. Prolactin iC(max) was higher in volunteers harboring polymorphisms in CYP2C19 and AGT. An association was detected between polymorphisms in CYP1A1 and CYP2C9 and somnolence. Several polymorphisms are responsible for differences in the pharmacokinetics, pharmacodynamics, and safety of quetiapine in healthy individuals.
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PMID:Pharmacogenetics of quetiapine in healthy volunteers: association with pharmacokinetics, pharmacodynamics, and adverse effects. 2502 89