Identifying potential disease genes for complex disease is very important for understanding disease pathogenesis and providing preventive measures. The computational gene prioritization tools provide a promising and effective way for disease gene identification. Gene GAD2 on Chromosome 10p12 is a disputing candidate disease gene for obesity because of the contradictory conclusions obtained by association studies of different researchers. In this paper, a computational tool ENDEAVOUR is used to verify the probability of gene GAD2 being an obesity candidate disease gene. ENDEAVOUR evaluates each candidate gene based on its similarity with the training genes (known disease genes). The high prioritization of gene GAD2 in the computational results means that the gene GAD2 has high probability to be a disease gene for obesity.