Abstract
OBJECTIVE: To examine causal associations between risky behavior phenotypes and Parkinson disease using a mendelian randomization approach. METHODS: We used 2-sample mendelian randomization to generate unconfounded estimates using summary statistics from 2 independent, large meta-analyses of genome-wide association studies on risk-taking behaviors (n = 370,771-939,908) and Parkinson disease (cases n = 9,581, controls n = 33,245). We used the inverse variance weighted method as the main method for judging causality. RESULTS: Our results support a strong protective association between the tendency to smoke and Parkinson disease (odds ratio [OR] 0.714 per log odds of ever smoking, 95% confidence interval [CI] 0.568-0.897, p = 0.0041, Cochran Q test p = 0.238; I2 index 6.3%). Furthermore, we observed risk association trends between automobile speed propensity and the number of sexual partners and Parkinson disease after removal of overlapping loci with other risky traits (OR 1.986 for each 1-SD increase in normalized automobile speed propensity, 95% CI 1.215-3.243, p = 0.0066; OR 1.635 for each 1-SD increase in number of sexual partners, 95% CI 1.165-2.293, p = 0.0049). CONCLUSION: These findings provide support for a causal relationship between general risk tolerance and Parkinson disease and may provide new insights into the pathogenic mechanisms leading to the development of Parkinson disease.
| Originalsprache | Englisch |
|---|---|
| Zeitschrift | Neurology |
| Jahrgang | 93 |
| Ausgabenummer | 15 |
| Seiten (von - bis) | e1412-e1424 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 08.10.2019 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
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SDG 10 – Weniger Ungleichheiten
Strategische Forschungsbereiche und Zentren
- Forschungsschwerpunkt: Gehirn, Hormone, Verhalten - Center for Brain, Behavior and Metabolism (CBBM)
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