Chronic myelogenous leukemia (CML) is a complex disease with a genetic basis. The genetic association studies (GASs) that have investigated the association between adult CML and 5,10-methylenetetrahydrofolate reductase (MTHFR) C677T and A1298C polymorphisms have produced contradictory and inconclusive results. The aim of this meta-analysis is to provide a relatively comprehensive assessment of the association of these polymorphisms with adult CML risk. A literature search for eligible GAS published before September 15, 2013 was conducted in PubMed, Embase, Web of Science, Cochrane Library, and China National Knowledge Infrastructure (CNKI) databases. Pooled odds ratios (ORs) with their corresponding 95% confidence intervals (95% CIs) were used to evaluate the strength of the association under a fixed or random effect model according to heterogeneity test results. All analyses were performed using the Stata software, version 12.0. Twelve case-control studies were included in this meta-analysis with a total of 932 CML patients and 3,465 healthy controls. For MTHFR C677T (dbSNP: rs1801133, C>T), though the pooled ORs were not significant in the overall population, all the ORs greater than 1 suggested an increased risk of CML for carriers of the risk allele. However, stratified analysis based on genotyping method revealed a significant association in the PCR-restriction fragment length polymorphism (RFLP) subgroup, possibly as a result of heterogeneity. For MTHFR A1298C (dbSNP: rs1801131, A>C), the combined results showed that carriers of the C allele may be associated with a decreased risk of adult CML. Stratified analysis showed that the magnitude of this effect was especially significant among Asians, indicating ethnicity differences in adult CML susceptibility. This meta-analysis shows that the C allele of MTHFR A1298C may be associated with a decreased risk in adult CML, especially among Asians, while MTHFR C677T may not be associated with adult CML risk. However, the development of adult CML may be the result of gene-gene and gene-environment interactions, which should be considered in future individual GAS and subsequent meta-analyses.