RESUMO
The African continent has the highest prevalence of hypertension globally, with South Africa reporting the highest prevalence in Southern Africa. While the influence of genetic variability in the pathogenesis of hypertension is well described internationally, limited reports are available for African populations. This study aimed to assess the association of genetic variants and essential hypertension in a cohort of two ethnic South African population groups. Two hundred and seventy-seven hypertensive and one hundred and seventy-six normotensive individuals were genotyped for 78 variants. Genotyping was performed using the Illumina GoldenGate Assay and allele-specific polymerase chain reaction. The association of variants was assessed using the Fisher Exact test under the additive and allelic genetic models, while multivariate logistic regression was used to predict the development of hypertension. Five variants (CYP11B2 rs179998, AGT rs5051 and rs699, AGTR1 rs5186, and ACE rs4646994) were significantly associated with essential hypertension in the cohort under study. Furthermore, AGTR1 rs5186 and AGT rs699 were identified as risk factors for the development of hypertension in both ethnic groups. In two ethnic South African populations, an association was observed between renin-angiotensin-aldosterone system (RAAS)-related genes and the development of hypertension.
RESUMO
AIM: To provide pharmacogenomics reporting guidelines, the information and tools required for reporting to public omic databases. MATERIAL & METHODS: For effective DMET data interpretation, sharing, interoperability, reproducibility and reporting, we propose the Minimum Information required for a DMET Experiment (MIDE) reporting. RESULTS: MIDE provides reporting guidelines and describes the information required for reporting, data storage and data sharing in the form of XML. CONCLUSION: The MIDE guidelines will benefit the scientific community with pharmacogenomics experiments, including reporting pharmacogenomics data from other technology platforms, with the tools that will ease and automate the generation of such reports using the standardized MIDE XML schema, facilitating the sharing, dissemination, reanalysis of datasets through accessible and transparent pharmacogenomics data reporting.
Assuntos
Farmacogenética , Projetos de Pesquisa , Interpretação Estatística de Dados , Humanos , Disseminação de InformaçãoRESUMO
The WHO embraces evidence-based medicine to formulate an essential medicines list (EML) considering disease prevalence, drug efficacy, drug safety and cost-effectiveness. The EML is used by developing countries to build a national formulary. As pharmacogenetics in developed countries evolves, the Pharmacogenetics for Every Nation Initiative (PGENI) convened with representatives from China, Mexico, Ghana and South Africa in August 2009 to evaluate the use of human pharmacogenetics to enhance global drug use policy. The diseases causing mortality, the lack of integration of pharmacovigilance at the national formulary level, the pharmacogenetics research agenda and pharmacogenetics clinician education did not differ greatly among the countries. While there are many unanswered questions, systematically incorporating pharmacogenetics at the national formulary level promises to improve global drug use.