Identification of population specific risk phenotypes contributing towards development of metabolic syndrome

Common risk factors associated with metabolic syndrome (mets) are well known world-wide,however,clustering of population specific disease markers have also been reported. therefore we aimed to identify mets risk markers in a local adult pakistani population and,based on their clustering,its prevalence. adult subjects visiting out-patient departments of local hospitals were screened for mets based on international diabetes federation (idf) criteria. anthropometric and biochemical assay results were recorded. data was analyzed using spss software (16.0). our results showed that total mets prevalence was 46.0% with significantly higher disease rates in obesity (82%,p<0.0001),old age (57.6%,p<0.0001),and male gender (52.1%,p=0.016). the frequency of all disease risk factors were significantly raised in obesity with varying rates in age and gender specific population sub-groups. it is concluded evident that obesity along with hyperglycemia and dyslipidemia are common population specific mets risk markers. copyright 2016 zoological society of pakistan.