We have recently reported that CBFb is critical for Vifinduced A3G polyubiquitination and degradation

data of the 17 common SNPs are schematically presented in The five ” SERPINF1 SNPs were genotyped using the Sequenom massARRAY system with iPLEX software. The genotyping success rates were $99.7%. The Sequenom results were validated by bidirectional sequencing in 50 randomly selected subjects, and both methods gave 100% identical results. Calculations Homeostasis model assessment of insulin resistance was calculated as /22.5 with c = concentration. The insulin sensitivity index derived from the OGTT was estimated as proposed by Matsuda and DeFronzo: 10,000/K. The insulin sensitivity index derived from the hyperinsulinaemic-euglycaemic clamp was calculated as glucose infusion rate necessary to maintain euglycaemia during the last 60 min of the clamp divided by the steady-state insulin concentration. Genotyping DNA was 16302825” isolated from whole blood using a commercial DNA isolation kit. 4 SERPINF1 and Adipose Tissue Mass Statistical analyses Hardy-Weinberg equilibrium was tested using x2 test. Linkage disequilibrium between the tagging SNPs was analyzed using the JLIN programme provided by the Western Australian Institute for Medical Research. All continuous variables not normally distributed were logetransformed prior to linear regression analysis. buy Digitoxin Multiple linear regression analysis was performed using the least-squares method. In the regression models, the trait of interest was chosen as dependent variable, the SNP genotype as independent variable, and gender, age, and when testing glycaemia or insulin sensitivity percentage of body fat as confounding variables. Based on screening five non-linked tagging SNPs in parallel, a p-value,0.0102 was considered statistically significant according to Bonferroni correction for multiple comparisons. We did not correct for the tested traits of interest since these were not independent and for the two inheritance models applied because associations were considered reliable only when observable in both models. In all subsequent analyses addressing exclusively the effects of SNP rs12603825 in more detail, a pvalue,0.05 was considered statistically significant. To perform these analyses, the statistical software package JMP 8.0 was used. In the dominant inheritance model, our overall study cohort was sufficiently powered to detect, for the five tagging SNPs, effect sizes of Cohen’d,0.12, the clamp subgroup was sufficiently powered to detect effect sizes of,0.26, and the MRI/MRS subgroup to detect effect sizes of,0.30 with Cohen’s dvalues of 0.2, 0.5, and 0.8 representing by convention small, medium, and large effect sizes, respectively. Power calculations were performed using Gpower 3.0 software available at http:// www.psycho.uni-duesseldorf.de/aap/projects/gpower/. Results Characteristics of the study participants The overall study population consisted of 1,974 non-diabetic, relatively young, and moderately overweight White Europeans. Two thirds of the subjects were women, one third men. About 70% of the subjects were normal glucose tolerant, 30% prediabetic: 11% had isolated impaired fasting glycaemia, 10% isolated impaired glucose tolerance, and 8.5% both disturbances of glucose homeostasis. The clinical characteristics of the study participants are given in Genotyping results The 1,974 participants were genotyped for the five tagging SNPs of the SERPINF1 gene locus with genotyping success rates $99.7%. All SNPs were in Hardy-Weinberg equilibrium. The observed MAFs ranged from 0.27 to 0.38 and were prett