The PPAR Pathway to Obesity and Type-2 Diabetes: A Multi-Locus Approach to Understanding Complex Disease

摘要: Many common diseases such as obesity and type-2 diabetes have a significant genetic component that contributes to susceptibility. Peroxisome proliferator activated receptors (PPARs) are nuclear heterodimerize with the retinoid X (RXRs) influence expression of many genes involved in adipocyte differentiation lipid metabolism fatty acid binding proteins (FABPs) uncoupling (UCPs). Genetic variation any these gene families could potentially alter metabolic traits related diabetes. The goal this project is identify PPARs RXRs then determine if associated quantitative using multi-locus analysis approach. In study, three sets regression models were constructed: first containing polymorphisms just or RXRs; second variants from all four families; third isoforms showing highest level each tissues. Some only able account for small portions particular trait variation; however, accounted large amount trait, up 23.4% Hispanic female model fasting free acids. Multi-locus genotypes, opposed single locus effects, found be best predictors almost final models. These analyses confirmed importance gene-gene interactions on acids cholesterol; therefore, multiple should considered together fully understand their trait.