Data from: Risky behaviors and Parkinson’s disease: a Mendelian randomization study
Cite this dataset
Grover, Sandeep et al. (2020). Data from: Risky behaviors and Parkinson’s disease: a Mendelian randomization study [Dataset]. Dryad. https://doi.org/10.5061/dryad.54t59r8
Objective: To examine causal associations between risky behavior phenotypes on Parkinson’s disease using a Mendelian randomization approach. Methods: We used two-sample Mendelian randomization to generate unconfounded estimates using summary statistics from two independent, large meta-analyses of genome-wide association studies on risk taking behaviors (n=370,771-939,908) and Parkinson’s disease (cases: n=9581, controls: n = 33,245). We used inverse variance weighted as the main method for judging causality. Results: Our results support a strong protective association between the tendency to smoke and Parkinson’s disease (OR=0.714 per log odds of ever smoking; 95% CI=0.568-0.897; p-value=0.0041; Cochran Q test; p-value=0.238; I2 index=6.3%). Furthermore, we observed risk association trends between automobile speed propensity as well as the number of sexual partners and Parkinson’s disease after removal of overlapping loci with other risky traits (OR=1.986 for each standard deviation increase in normalized automobile speed propensity; 95% CI=1.215-3.243; p-value=0.0066, OR=1.635 for each standard deviation increase in number of sexual partners; 95% CI=1.165-2.293; p-value=0.0049). Conclusion: These findings provide support for a causal relationship between general risk tolerance and Parkinson’s disease and may provide new insights in the pathogenic mechanisms leading to the development of Parkinson’s disease.