GENOMIC AND METABOLOMIC PROFILE ASSOCIATED TO CLUSTERING OF CARDIO-METABOLIC RISK FACTORS

the sample included individuals older than 18 years in the absence of serious concomitantdisease or psychiatric disorder, which could interfere with the study. All the subjectsincluded were white, living in an area with a low immigration rate. The study included the assessment of anthropometric measurements, blood pressure, glycaemia, lipid profile and smoking status as well as personal and familial information about cardiovascular risk factors and disease. Cardiometabolic risk factors were iidentified, according to the ATPIII criteria used for MS ], and MS was defined by the presence of three or more of the following components: 1) high waist circumference(men ≥ 102cm; women ≥88 cm); 2) high triglycerides (≥150mg/dL); 3) low HDL cholesterol (men ≥ 40mg/dL; women ≥50mg/dL); 4) high blood pressure (systolic blood pressure ≥130 mmHg and/or diastolic blood pressure ≥ 85 mmHg or being on antihypertensive medications) and 5) high fasting glucose (≥ 110 mg/dL or being on drug treatment for elevated glucose). The subjects were divided into three groups: Group 1 comprised of 617 subjects with less than two risk criteria of the ATPIIguideline; Group 2 comprised of 295 subjects with 2 risk factors and Group 3 comprised of 283 subjects with 3 or more of the criteria, which is considered to be MS.Weight was assessed with precise scales while the individuals were without shoes and wearing light clothing. Height was determined in a similar way. Body mass index (BMI) was calculated using the following formula "weight (kg)/height2 (m)". Glucose and lipid profile was measured in blood samples obtained with a mean of 3 hoursfasting (range 0-17). Basic serum biochemistry and lipid profile.Differences in the 28 metabolite values for each SNP in patients from Group 1 and Group 3 of each genotype were calculated. Finally, the metabolic profile and the most relevant metabolites of 5 genotype and allele were compared between patients from Group 1 and Group 3. The data were co-variated with respect to age, sex and smoking status. Bonferroni correctionwas applied in all the analysis