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. 2018 May 14;34(5):867–869. doi: 10.1007/s12264-018-0233-7

Lack of Association Between DNMT3B Polymorphisms and Sporadic Parkinson’s Disease in a Han Chinese Population

Hong Pan 1,2,#, Jun-Yi Shen 2,#, Juan-Juan Du 2, Shi-Shuang Cui 2, Jin Liu 2, Yi-Qi Lin 2, Yi-Xi He 2, Yang Fu 2, Chao Gao 2, Gen Li 2, Sheng-Di Chen 2,, Jian-Fang Ma 2,
PMCID: PMC6129251  PMID: 29761417

Dear Editor,

Recently, several single nucleotide polymorphisms (SNPs; rs34094401 on RAD51B, rs41309351 on CPXM1, rs143555311 on MPHOSPH10, rs141620200 on SERPINA1, and rs2424913 on DNMT3B) have been associated with Parkinson’s disease (PD) in Caucasians [13]. Considering the genetic variance among different ethnic populations, it is essential to know whether these candidate SNPs are also associated with PD in other ethnic cohorts. Therefore, we investigated these newly-reported risk SNPs in 249 PD patients and 239 controls to test their association with PD.

There was no difference in age (P = 0.425) and gender (P = 0.718) between the PD and control groups (Table S1). Alleles and genotypes of the candidate SNPs are shown in Table S2. Hardy–Weinberg equilibrium was calculated for each SNP, and no significant deviation was found. The minor allele frequencies of rs34094401 (RAD51B), rs41309351 (CPXM1), rs143555311 (MPHOSPH10), and rs141620200 (SERPINA1) were all zero in both the PD and control groups. Two adjacent SNPs, rs9941620 MPHOSPH10 and rs75826787 DNMT3B, were not associated with PD risk in either of the models. As rs75826787 and rs2424913 are on the same chromosome, linkage disequilibrium was analyzed, and none was found between them (Table S3).

Notably, for rs2424913 on DNMT3B, the frequency of the minor allele “C” in the control group (0.84%) was more than twice the minor allele frequency in the PD group (0.40%), and the odds ratio (OR) was 0.48. However, this difference was not statistically significant, either in allelic association (P = 0.443), the dominant model (P = 0.443), or the additive model (P = 0.394) (Table S2). Interestingly, the “C” allele of rs2424913 showed an even lower odds ratio in females (OR 0.31) under subgroup analysis based on gender (Table 1), though this association was not statistically significant (P = 0.356).

Table 1.

Subgroup analysis stratified by gender

GENE SNP_ID Gender Power Allele Additive model Dominant model Recessive model
P OR 95% CI P OR 95% CI P OR 95% CI P OR 95% CI
MPHOSPH10 rs9941620 Female 0.27 0.180 0.74 0.48–1.14 0.164 0.753 0.50–1.12 0.121 0.67 0.39–1.14 0.812 0.82 0.28–2.35
Male 0.05 0.695 0.92 0.61–1.37 0.656 0.917 0.63–1.34 0.899 0.95 0.56–1.61 0.520 0.74 0.28–1.92
DNMT3B rs2424913 Female 0.12 0.356 0.31 0.01–3.85 0.305 0.304 0.03–2.96 0.354 0.305 0.01–3.86 1.000 0.00
Male 0.05 1.000 0.99 0.01–78.13 0.995 0.992 0.06–16.04 1.000 0.99 0.01–78.44 1.000 0.00
rs75826787 Female 0.12 0.688 1.25 0.52–3.08 0.531 1.301 0.57–2.96 0.678 1.30 0.53–3.29 1.000 0.00
Male 0.06 0.835 0.91 0.35–2.29 0.811 0.901 0.38–2.13 0.899 0.95 0.56–1.61 1.000 0.00

OR odds ratio, 95% CI 95% confidence interval

Two studies [3, 4] have investigated the association between rs2424913 and PD risk in a Brazilian population of European ancestry and a South Chinese Han population. The latter was included in our meta-analysis. In total, 736 PD patients and 724 controls were included. The fixed effect model was applied since there was no heterogeneity (I2 = 0%). The results showed that rs2424913 was not significantly associated with PD in the Han Chinese population (P = 0.42 for allelic association, and P = 0.64 for the dominant model). In addition, the result of subgroup analysis based on gender in meta-analysis was similar to the results in our cohort (Table S4, Fig. S1).

To our knowledge, this is the first study on the association of rs75826787 (DNMT3B), rs34094401 (RAD51B), rs41309351 (CPXM1), rs141620200 (SERPINA1), rs143555311 (MPHOSPH10), and rs9941620 (MPHOSPH10) with the risk of PD in an Asian population. In this study, we did not find any significant association between rs2424913 (DNMT3B) and PD risk in a Han Chinese population, although rs2424913 was first reported to be associated with PD risk by Pezzi et al. in a Brazilian population of European ancestry [3]. As the sample size of our cohort was small, a meta-analysis was further performed by including the recently published study of Chen et al. [4] in a Han Chinese population, together with our study, and no significant risk of PD was found for rs2424913 DNMT3B. The difference in results between Brazilian and Chinese cohorts may be attributable to ethnic diversity. However, two other SNPs, rs2424932 and rs998382 on DNMT3B, have been reported to be significantly associated with PD in a Han Chinese population [4], particularly in the female PD subgroup. As our study did not investigate these two SNPs, we cannot exclude the possibility of an association between DNMT3B and the risk of PD. Further validation studies, especially those in non-Asian populations, are warranted.

In the study of Pezzi et al. [3], the T allele of rs2424913 on DNMT3B was associated with PD risk, and they raised the hypothesis that this allele may up-regulate the expression of DNMT3B, and would presumably enhance the methylation on many PD-related genes like SNCA [57]. However, according to the UCSC genome browser, rs2424913 is located on the intron, rather than on the promoter of DNMT3B as reported by Coppedè et al. [8, 9], as the histone marker of the promoter on rs2424913 locus was faint. We speculate that rather than regulating the transcription of DNMT3B, the rs2424913 locus might affect the regulation of mRNA splicing, because it is close to the intron–exon junction, which usually contains a splicing code.

In conclusion, our study found no significant association of the SNPs on RAD51B, CPXM1, MPHOSPH10, SERPINA1, and DNMT3B with PD risk in a Han Chinese population. Still, there was the possibility that the risks of these candidate SNPs are specific to certain ethnic groups, or that the sample size in our study was not big enough to discover the risk. Therefore, more studies are needed in Chinese or Asian populations to increase the sample size and reveal the links between these SNPs and PD. Also, different PD-associated polymorphisms on the 5 corresponding genes, and even expression or functional problems of these genes might exist, from which new fascinating mechanisms in PD remain to be explored.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Acknowledgements

We are grateful to the participants in this study. This work was supported by the National Natural Science Foundation of China (81430022, 91332107, and 81371407), and the National Key R&D Program of China (2016YFC1306000).

Compliance with Ethical Standards

Conflict of interest

The authors have no conflict of interest to report.

Contributor Information

Sheng-Di Chen, Email: ruijincsd@126.com.

Jian-Fang Ma, Email: majifa@hotmail.com.

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