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Abstract
Background: Previous studies have found an association between the granulin gene rs5848 and microtubule-associated protein tau gene (MAPT) rs242557 polymorphisms and susceptibility to Parkinson's disease (PD). However, the results of association studies between the two polymorphisms and PD have been inconsistent. Given the overlap in clinical and pathological characteristics of PD and multiple system atrophy (MSA), we examined the associations of these two polymorphisms with PD and MSA in a subset of the Chinese population. Methods: In total, 1270 PD patients, 360 MSA patients and 830 healthy controls (HCs) were included in the study. All subjects were genotyped for the two polymorphisms using Sequenom iPLEX Assay technology. After combining our results with the available published data, a meta-analysis was conducted to investigate the association between MAPT rs242557 and the risk of PD. Results: The minor allele “T” of GRN rs5848 decreased the risk for PD (p = 0.0309, odds radio [OR], 0.86; 95% CI, 0.76–0.99). No differences in the genotype distributions and minor allele frequency (MAF) of MAPT rs242557 were observed between the PD and the HCs in our Chinese population. Our meta-analysis revealed an association between MAPT rs242557 and PD in Caucasian and Asian population in a recessive model (p = 0.049 and p = 0.046, respectively). However, no significant differences in the genotype distributions and MAFs of the two polymorphisms were found between the MSA patients and HCs. Conclusion: Our results indicate that GRN rs5458 may decrease the risk of PD in Chinese individuals, and the MAPT rs242557 is marginally associated with PD.
Acknowledgements
The authors thank all the subjects for their participation in the study.
Declaration of Interest
The author report no conflict of interest. The present study was supported by the funding from the National Science Fund of China (grant number 81371394), which was supported in part by the National Basic Research Program of China (grant number 2015CB856400), and the Science and Technology Bureau Fund of Sichuan Province (grant number 2014FZ0072).