2 resultados para Pharmacogenomic

em DigitalCommons@The Texas Medical Center


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Objective. To explore issues in current literature concerning possible social and economic ramifications of pharmacogenomic research. Design. Review of the literature. Data sources: Academic Search Premier, Blackwell Synergy, PUBMED and Social Sciences Citation Index. Review methods. Articles dealing with the social and economic ramifications of pharmacogenomic research were selected. The articles discussed at least one of 5 areas (race, privacy/confidentiality, ethics, insurance, and research and development). Some restrictions were placed on the articles chosen to narrow down the number of articles to a relevant, manageable amount. Results. Approximately 219 articles were selected for review; 159 were fully reviewed and found to be relevant to the issues; and 33 were cited. Conclusion. Insurance and research and development decisions are led by the free-market system with limited intervention from government. Race/ethnicity, privacy/confidentiality, and ethics continue to be debated with no clear answer. However, some compromise is regulated by government based upon current laws involving these issues. ^

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Response to pharmacological treatment is variable among individuals. Some patients respond favorably to a drug while others develop adverse reactions. Early investigations showed evidence of variation in genes that code for drug receptors, drug transporters, and drug metabolizing enzymes; and pharmacogenetics appeared as the science that studies the relationship between drug response and genetic variation. Thiazide diuretics are the recommended first-line monotherapy for hypertension (i.e. SBP>140 or DBP>90). Even so, diuretics are associated with adverse metabolic side effects, such as hyperglycemia, which increase the risk of developing type 2 diabetes. Published approaches testing variation in candidate genes (e.g. the renin-angiotensin-aldosteron system (RAAS) and salt–sensitivity genes) have met with only limited success. We conducted the first genome wide association study to identify genes influencing hyperglycemia as an adverse effect of thiazide diuretics in non-Hispanic White hypertensive patients participating in the Genetic Epidemiology of Responses to Antihypertensives (GERA) and Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR) clinical trials. No SNP reached the a priori defined threshold of statistical significance (p<5x10-8). We detected 50 SNPs in 9 genomic regions with suggestive p-values (p<1x10-5). Two of them, rs6870564 (p-value=3.28 X 10-6) and rs7702121 (p-value=5.09 X 10-6), were located close to biologic candidate genes, MYO and MGAT1, and one SNP in a genomic region in chromosome 6, rs7762018 (p-value=4.59 X 10-6) has been previously related to Insulin-Dependent Diabetes Mellitus (IDDM8). I conclude that 1) there are unlikely to be common SNPs with large effects on the adverse metabolic effects to hydrochlorothiazide treatment and 2) larger sample sizes are needed for pharmacogenetic studies of inter-individual variation in response to commonly prescribed medication.