Genome-wide association studies (GWAS) have been used to find several genetic associations across many phenotypes. To improve the power of GWAS and generalize associations across ethnic groups, trans-ethnic meta-analysis methods are used to combine GWAS results from diverse ancestries. The goal of our study is to find genetic associations for eight metabolic syndrome traits using a trans-ethnic meta-analysis. Traits were measured in the GENetics of Non-Insulin dependent Diabetes mellitus (GENNID) Study which consists of African-, European-, Japanese-, and Mexican-American samples. GWAS results from the four ethnic groups were combined using four meta-analysis methods: fixed effects, random effects, TransMeta, and MR-MEGA. We empirically compare the meta-analysis methods using the GENNID results, discuss which types of loci are better detected by each of the methods, and validate our results using previous genetic studies. We will provide a more detailed comparison of the two trans-ethnic methods, TransMeta and MR-MEGA. Time allowing, results from a simulation study will be provided comparing the four methods.