RESUMO
Analysis on data from epidemiological studies is the sequencing process of applying statistical methods to collected data from different angles, interpreting intermediate results, drawing statistical conclusions and forming scientific findings based on existing knowledge. This is also called the 'process of converting data to evidence'. Final results from the analysis are expressed through scientific papers. Process of an accurate, clear and comprehensive data analysis is critical to form a convincing conclusion on a paper. This article discusses how to form the analytical thoughts for conducting a thorough data analysis in order to draw a convincing evidence from epidemiological data.
Assuntos
Interpretação Estatística de Dados , Estudos EpidemiológicosRESUMO
Analysis on data from epidemiological studies is the sequencing process of applying statistical methods to collected data from different angles,interpreting intermediate results, drawing statistical conclusions and forming scientific findings based on existing knowledge. This is also called the‘process of converting data to evidence’. Final results from the analysis are expressed through scientific papers. Process of an accurate,clear and comprehensive data analysis is critical to form a convincing conclusion on a paper. This article discusses how to form the analytical thoughts for conducting a thorough data analysis in order to draw a convincing evidence from epidemiological data.
RESUMO
Analysis on data from epidemiological studies is the sequencing process of applying statistical methods to collected data from different angles,interpreting intermediate results, drawing statistical conclusions and forming scientific findings based on existing knowledge. This is also called the‘process of converting data to evidence’. Final results from the analysis are expressed through scientific papers. Process of an accurate,clear and comprehensive data analysis is critical to form a convincing conclusion on a paper. This article discusses how to form the analytical thoughts for conducting a thorough data analysis in order to draw a convincing evidence from epidemiological data.
RESUMO
<p><b>OBJECTIVE</b>To determine the relationships of Met416Val and XbaI polymorphism of muscle glycogen synthase (GYS1) gene and Trg64Arg variant of the beta(3)-adrenergic-receptor (beta(3)-AR) gene with type 2 diabetes mellitus (DM) and its intermediate phenotypes in the Chinese population.</p><p><b>METHODS</b>Polymerase chain reaction-oligonucleotide ligation assay and restriction fragment length polymorphism assay were used to evaluate the GYS1 and beta(3)-AR gene polymorphisms in 102 pairs of case-control Chinese spouses.</p><p><b>RESULTS</b>Subjects with Met416Val variant had a significantly higher 2-hour post-glucose level than subjects without this variant had in diabetic group (P = 0.032). The Met416Val polymorphism of GYS1 gene was not significantly associated with the risk of type 2 DM (adjusted OR = 1.67; 95% CI: 0.73 - 3.81, P = 0.223). Subjects with Trp64Arg variant had a significantly higher serum uric acid level than subjects without this variant had in diabetic group (P = 0.034). The combination of BMI and Arg64 allele carrier of the beta(3)-AR gene increased the diabetic risk over four-fold (adjusted OR = 4.00; 95% CI: 1.53 - 10.45, P = 0.005).</p><p><b>CONCLUSIONS</b>In the Chinese population, Met416Val polymorphism is identified in a subgroup of diabetic subjects with high 2-hour post-glucose. It will explain why some diabetic patients appear to be genetically predisposed to developing high postpradial glucose level. The presence of the Arg64 allele in the beta(3)-AR gene may predispose patients to higher serum uric acid level.</p>
Assuntos
Adulto , Idoso , Humanos , Pessoa de Meia-Idade , Alelos , Índice de Massa Corporal , Diabetes Mellitus Tipo 2 , Sangue , Genética , Glicogênio Sintase , Genética , Hiperglicemia , Genética , Polimorfismo Genético , Período Pós-Prandial , Fisiologia , Receptores Adrenérgicos beta 3 , Genética , Ácido Úrico , SangueRESUMO
Obeject To study the association of sulfonylurea receptor (SUR) 1 gene and blood lipids level.Method We investigated the SUR1 gene intron 24 3t/c polymorphism by polymerase chain reaction (PCR) and appropriate restriction enzyme (PCR RFLP) in 132 couples of type 2 diabetic case control and 282 type 2 diabetic pedigrees. The statistical methods were t test, multiple line regression and family based association test (FBAT).Result In the control group, the level of total cholesterol (TC), low density lipoprotein (LDL) and Apo B were higher in the cc genotype than that in the tt and the tc genotype. FBAT showed that sulfonylurea receptor 1 gene intron 24 3t/c polymorphism was significantly associated with TC, ApoB and BMI.Conclusion Sulfonylurea receptor 1 gene intron 24 3t/c polymorphism is associated with blood lipid level in north Chinese population.
