Parkinson’s Disease and Ischemic Stroke: a Bidirectional Mendelian Randomization Study

Author(s):  
Shiyuan Fang ◽  
Xinzhi Hu ◽  
Tao Wang ◽  
Yutong Yang ◽  
Ran Xu ◽  
...  
Genes ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 772
Author(s):  
João Botelho ◽  
Vanessa Machado ◽  
José João Mendes ◽  
Paulo Mascarenhas

The latest evidence revealed a possible association between periodontitis and Parkinson’s disease (PD). We explored the causal relationship of this bidirectional association through two-sample Mendelian randomization (MR) in European ancestry populations. To this end, we used openly accessible data of genome-wide association studies (GWAS) on periodontitis and PD. As instrumental variables for periodontitis, seventeen single-nucleotide polymorphisms (SNPs) from a GWAS of periodontitis (1817 periodontitis cases vs. 2215 controls) and eight non-overlapping SNPs of periodontitis from an additional GWAS for validation purposes. Instrumental variables to explore for the reverse causation included forty-five SNPs from a GWAS of PD (20,184 cases and 397,324 controls). Multiple approaches of MR were carried-out. There was no evidence of genetic liability of periodontitis being associated with a higher risk of PD (B = −0.0003, Standard Error [SE] 0.0003, p = 0.26). The eight independent SNPs (B = −0.0000, SE 0.0001, p = 0.99) validated this outcome. We also found no association of genetically primed PD towards periodontitis (B = −0.0001, SE 0.0001, p = 0.19). These MR study findings do not support a bidirectional causal genetic liability between periodontitis and PD. Further GWAS studies are needed to confirm the consistency of these results.


2018 ◽  
Vol 19 (S1) ◽  
Author(s):  
Zhifa Han ◽  
Rui Tian ◽  
Peng Ren ◽  
Wenyang Zhou ◽  
Pingping Wang ◽  
...  

2016 ◽  
Vol 37 (5) ◽  
pp. 749-754 ◽  
Author(s):  
Hui-Qing Zhao ◽  
Fang-fei Li ◽  
Zhan Wang ◽  
Xue-Mei Wang ◽  
Tao Feng

2020 ◽  
Vol 88 (5) ◽  
pp. 1043-1047
Author(s):  
Dylan M. Williams ◽  
Sara Bandres‐Ciga ◽  
Karl Heilbron ◽  
David Hinds ◽  
Alastair J. Noyce ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-5
Author(s):  
Yiğit Çanga ◽  
Ayşe Emre ◽  
Gülbün Asuman Yüksel ◽  
Mehmet Baran Karataş ◽  
Nizamettin Selçuk Yelgeç ◽  
...  

Background. An increased risk of ischemic stroke has been reported in patients with Parkinson’s disease (PD). Atrial fibrillation (AF) is strongly associated with ischemic stroke. Prolonged atrial electromechanical delay (EMD) is an independent predictor for the development of AF. Aims. The aim of the present study was to evaluate the atrial conduction parameters in patients with PD and to assess their relation with the severity of PD. Study design. We prospectively enrolled 51 consecutive patients with newly diagnosed PD and 31 age- and sex-matched non-PD subjects. Methods. To assess atrial electromechanical coupling (PA), the time intervals from the onset of p wave on ECG to the late diastolic wave at the septal (PAs) and lateral (PAl) mitral annulus and lateral tricuspid annulus (PAt) were measured on Tissue Doppler Echocardiography (TDE). The difference between PAs-PAl, PAs-PAt, and PAl-PAt were defined as left intra-atrial, right intra-atrial, and interatrial EMD, respectively. P-wave dispersion (PWD) was calculated from the 12-lead ECG. Results. PWD, PAs, PAl, and PAt durations were significantly prolonged in the PD group (all p<0.001). Interatrial, right, and left intra-atrial EMD were also significantly longer in PD patients (p<0.001, p<0.001 and p=0.002, resp.). There were significant positive correlations between disease severity (UPDRS score) and PWD (r=0.34, p=0.041), left intra-atrial (r=0.39, p=0.005), and interatrial EMD (r=0.35, p=0.012). By multivariate analysis, PWD (OR: 1.13, 95% CI: 1.02–1.25; p=0.017), LA volume index (OR: 1.19, 95% CI: 1.02–1.37; p=0.021), left intra-atrial (OR: 1.12, 95% CI: 1.01–1.24; p=0.041), and interatrial EMD (OR: 1.08, 95% CI: 1.01–1.16; p=0.026) were found as independent predictors of PD. Conclusion. Atrial conduction times were longer and correlated with the severity of disease in PD patients. Prolonged inter- and intra-atrial-EMD intervals were also found as independent correlates of PD. These findings may suggest an increased predisposition to atrial fibrillation in PD.


2018 ◽  
Author(s):  
Sandeep Grover ◽  
Greco M Fabiola Del ◽  
Meike Kasten ◽  
Christine Klein ◽  
Christina M. Lill ◽  
...  

AbstractObjectiveDopaminergic neurotransmission is known to be a potential modulator of risky behaviors including substance abuse, promiscuity, and gambling. Furthermore, observational studies have shown associations between risky behaviors and Parkinson’s disease; however, the causal nature of these associations remains unclear. Thus, in this study, we examine causal associations between risky behavior phenotypes on Parkinson’s disease using a Mendelian randomization approach.MethodsWe 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.ResultsOur 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).InterpretationThese 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.


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