An exploratory study on the CHRNA3-CHRNA5-CHRNB4 cluster, smoking, and Parkinson's disease

Genetic variants in nicotinic receptors and smoking cessation in Parkinson's disease

BACKGROUND

Negative associations between smoking and Parkinson's disease (PD) are well documented. While common biases may not explain this association, some studies have suggested reverse causality and ease of quitting might be an early sign of PD, possibly related to a reduced nicotinic response. We investigated nicotinic receptor (nAChR) genetics to add to our understanding of possible biologic mechanisms underlying the smoking-PD relationship.

METHODS

We relied on 612 patients and 691 controls enrolled in the PEG (Parkinson's Environment and Gene) study for whom we obtained information on smoking and quitting ease through interviews. Genotyping in the nAChR genes, i.e. CHRNA5-A3-B4 and CHRNB3-A6 gene regions that have been linked to smoking or quitting behaviors, were based on blood and saliva DNA samples. We assessed associations with logistic regression assuming logit-additive allelic effects and used product terms for genetic allele status and smoking or quitting assessing interactions.

RESULTS

As expected, we observed negative associations between smoking and PD that were strongest for current followed by former smokers. In former smokers, high quitting difficulty was negatively associated with PD risk (extremely hard vs. easy: OR = 0.62 [0.39-0.99], p = 0.05), meaning those who developed PD were able to quit smoking with less difficulty than controls. The CHRNA3 rs578776-A allele predicted quitting difficulty in smoking controls (OR = 0.53 [0.32-0.91], p = 0.02), but not in smoking PD patients (OR = 1.09 [0.61-1.95], p = 0.77).

CONCLUSION

Our study further corroborates previous findings that ease of quitting may be an early sign of PD onset related to a loss of nicotinic response in prodromal stages.

Mendelian Randomization - the Key to Understanding Aspects of Parkinson's Disease Causation?

Parkinson's disease has multiple determinants and is associated with a wide range of exposures that appear to modify risk in traditional observational studies, including numerous lifestyle and environmental factors. Across other fields of medicine, Mendelian randomization has emerged as a powerful method to examine whether associations between exposures and disease outcomes are causal. Here we discuss the concept of Mendelian randomization, its potential relevance to Parkinson's disease, and suggest avenues through which the method could be employed to further understanding of the causal basis of Parkinson's disease. © 2015 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.

Short communication: genetic variations of SLC2A9 in relation to Parkinson's disease

Background

Epidemiological studies showed that higher plasma urate was associated with lower risk for Parkinson’s disease (PD) and slower disease progression. Recent genome-wide association studies (GWAS) consistently showed that several single nucleotide polymorphisms (SNPs) in the solute carrier family 2 member 9 gene (SLC2A9 ) were associated with plasma urate concentration and the risk of gout.

Methods

We conducted a case–control study to examine twelve tag SNPs of the SLC2A9 gene in relation to PD among 788 cases and 911 controls of European ancestry. Odds ratios (OR) and 95% confidence intervals (CI) were derived from logistic regression models, adjusting for age, sex, smoking and caffeine consumption.

Results

These SNPs were all in linkage disequilibrium (R² > 0.7). None of them were associated with PD risk. Among women, however, there was a suggestion that the presence of the minor allele of one SNP (rs7442295) was related to a small increase in PD risk [OR (95% CI) = 1.48 (1.01-2.16)].

Conclusion

This study provides little support for genetic variations of SLC2A9 and PD risk.

An exploratory analysis on gene-environment interactions for Parkinson disease

Little is known about gene-environment interactions in Parkinson disease (PD). We examined potential interactions of smoking and caffeine intake with 10 genome-wide association studies single nucleotide polymorphisms (SNPs) at or near the SNCA, MAPT, LRRK2, and HLA loci among 584 PD patients and 1571 controls. The main effects of these SNPs and environmental exposures were consistent with previous reports. Family history of PD was associated with PD risk (odds ratio = 2.71, 95% confidence interval, 1.97-3.74), which was little affected by further adjustment for these SNPs and environmental exposures. Overall, we did not find significant interactions of either smoking or caffeine intake with these SNPs. However, with a combined smoking and caffeine intake exposure, we found a significant interaction with rs2896905 at SLC2A13, near LRRK2 (p uncorrected = 0.0008). Each A allele was associated with a 35% higher PD risk among never smokers with low caffeine intake, but with a 32% lower risk among smokers with high caffeine intake. This study provides preliminary evidence of a potential gene-environment interaction for PD, which should be investigated in future studies.