scholarly journals Mendelian randomization analysis supports the causal role of dysglycaemia and diabetes in the risk of coronary artery disease

2015 ◽  
Vol 36 (23) ◽  
pp. 1454-1462 ◽  
Author(s):  
Stephanie Ross ◽  
Hertzel C. Gerstein ◽  
John Eikelboom ◽  
Sonia S. Anand ◽  
Salim Yusuf ◽  
...  
Author(s):  
Lang Wu ◽  
Jingjing Zhu ◽  
Chong Wu

AbstractObservational studies have suggested that having coronary artery disease increases the risk of Coronavirus disease 2019 (COVID-19) susceptibility and severity, but it remains unclear if this association is causal. Inferring causation is critical to facilitate the development of appropriate policies and/or individual decisions to reduce the incidence and burden of COVID-19. We applied Two-sample Mendelian randomization analysis and found that genetically predicted CAD was significantly associated with higher risk of COVID-19: the odds ratio was 1.29 (95% confidence interval 1.11 to 1.49; P = 0.001) per unit higher log odds of having CAD.


Diabetes Care ◽  
2019 ◽  
Vol 42 (7) ◽  
pp. 1202-1208 ◽  
Author(s):  
Aaron Leong ◽  
Ji Chen ◽  
Eleanor Wheeler ◽  
Marie-France Hivert ◽  
Ching-Ti Liu ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yangyang Li ◽  
Li Jin ◽  
Jing Yan ◽  
Hong Zhang ◽  
Rong Zhang ◽  
...  

Few studies have illuminated the genetic role of T cell costimulatory molecule CD28/CD80/CTLA4 variants in diabetic kidney disease (DKD) susceptibility. We aimed to investigate the causal role of genetic polymorphisms in CD28/CD80/CTLA4 with DKD susceptibility in patients with T2DM. A total of 3253 patients with T2DM were recruited for genotyping: including 204 DKD patients and 371 controls in stage 1 and 819 DKD patients and 563 controls in stage 2; besides, 1296 T2DM patients were selected for the analysis of association between loci and DKD-related traits. A subset of 227 T2DM patients (118 patients with DKD and 109 patients without DKD) from the total population above were selected to assess serum soluble CD28 (sCD28) levels. Then, we performed a candidate gene association study to identify single-nucleotide polymorphisms (SNPs) associated with DKD susceptibility and further used those SNPs to perform Mendelian randomization analyses of serum sCD28 level and DKD susceptibility. Under additive genetic models, CD28-rs3116494 ( OR = 1.29 [95% CI 1.11, 1.51], P = 0.0011 ) and CD80-rs3850890 ( OR = 1.16 [95% CI 1.02, 1.31], P = 0.0283 ) were associated with DKD susceptibility adjusted for age, gender, body mass index (BMI), duration of diabetes, and HbA1c. CD28-rs3116494 was associated with serum sCD28 level ( β = 0.26 [95% CI 0.08, 0.44], P = 0.0043 ). The Mendelian randomization analysis showed that CD28-rs3116494 played a causal role in DKD by influencing serum sCD28 levels ( β = 1.15 [95% CI 0.46, 1.83], P = 0.0010 ). In conclusion, we identified that two novel SNPs, CD28-rs3116494 and CD80-rs3850890, were associated with DKD susceptibility. Using the Mendelian randomization analysis, our study provided evidence for a causal relationship between serum CD28 levels and DKD with T2DM in the Chinese population.


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