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Background An updated meta-analysis was performed to clarify the effects of TGF-β1 T869C polymorphism on the risk of diabetic nephropathy (DN) in the Chinese population. Methods The studies were searched using PubMed, Springer Link, Ovid, Chinese Wanfang Data Knowledge Ser-vice Platform, Chinese National Knowledge Infrastructure (CNKI), and Chinese Biology Medicine (CBM) up to October 2018. Results A total of 8 studies including 1,075 DN cases, 610 healthy controls, and 901 diabetes mellitus (DM) con-trols were involved in this meta-analysis. Overall, a significantly decreased risk of DN was associated with all vari-ants of TGF-β1 T869C when compared with the healthy group (T vs. C, OR = 0.71, 95% CI = 0.61 - 0.83; TT vs. CC, OR = 0.51, 95% CI = 0.37 - 0.69; TT + CT vs. CC, OR = 0.64, 95% CI = 0.51 - 0.82; TT vs. CC + CT, OR = 0.62, 95% CI = 0.48 - 0.82) or DM (T vs. C, OR = 0.65, 95% CI = 0.56 - 0.76; TT vs. CC, OR = 0.31, 95% CI = 0.17 - 0.55; TT + CT vs. CC, OR = 0.67, 95% CI = 0.54 - 0.84; TT vs. CC + CT, OR = 0.27, 95% CI = 0.13 - 0.55), as well as their combinations (T vs. C, OR = 0.67, 95% CI = 0.60 - 0.76; TT vs. CC, OR = 0.34, 95% CI = 0.21 - 0.56; TT + CT vs. CC, OR = 0.67, 95% CI = 0.56 - 0.80; TT vs. CC + CT, OR = 0.32, 95% CI = 0.17 - 0.57). The sub-group analyses stratified by geographic areas revealed significant results in South China. Conclusions This meta-analysis showed that the TGF-β1 T869C variants may influence DN risk in Chinese, and further studies with gene-gene and gene-environment interactions are required to confirm this conclusion.