scholarly journals Sex Differences in the Risk of Coronary Heart Disease Associated With Type 2 Diabetes: A Mendelian Randomization Analysis

Diabetes Care ◽  
2020 ◽  
pp. dc201137
Author(s):  
Tricia M. Peters ◽  
Michael V. Holmes ◽  
J. Brent Richards ◽  
Tom Palmer ◽  
Vincenzo Forgetta ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Sex Differences ◽  
Heart Disease ◽  
Mendelian Randomization ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis

scholarly journals Circulating Fetuin-A and Risk of Type 2 Diabetes: A Mendelian Randomization Analysis

Diabetes ◽  
2018 ◽  
Vol 67 (6) ◽  
pp. 1200-1205 ◽  
Author(s):  
Janine Kröger ◽  
Karina Meidtner ◽  
Norbert Stefan ◽  
Marcela Guevara ◽  
Nicola D. Kerrison ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Mendelian Randomization ◽  
Fetuin A ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis

Obesity and cardiovascular outcomes: another look at a meta-analysis of Mendelian randomization studies

2019 ◽  
Vol 68 (2) ◽  
pp. 357-363 ◽  
Author(s):  
George A Kelley ◽  
Kristi S Kelley ◽  
Brian L Stauffer
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Mendelian Randomization ◽  
Meta Analysis ◽  
Positive Association ◽  
Small Study ◽  
Point Estimates ◽  
Inverse Variance

This study used the inverse variance heterogeneity (IVhet) model to conduct a reanalysis of a recent meta-analysis that reported a positive association, based on the random-effects (RE) model, between obesity and the incidence of type 2 diabetes and coronary heart disease, but not all-cause stroke, in adults. Data emanated from a recent meta-analysis of five Mendelian randomization studies representing 881,692 adults. Results were pooled using the IVhet model and reported as OR’s and 95% CI. Small-study effects were examined using the Doi plot and Luis Furuya-Kanamori (LFK) index. Influence analysis was also conducted. The association between obesity and type 2 diabetes, coronary heart disease, and all-cause stroke was, respectively, 1.38 (95% CI 1.00 to 1.90, p=0.05, I2=93%), 1.10 (95% CI 0.90 to 1.35, p=0.35, I2=87%), and 1.02 (95% CI 0.95 to 1.09, p=0.64, I2=0%). Compared with the original RE model, results were similar for all-cause stroke, but point estimates for type 2 diabetes and coronary heart disease were smaller (29.3% and 9.8%) with wider (7.0% and 14.7%), overlapping CI. Major asymmetry suggestive of small-study effects was observed (LFK=3.59). With the exception of one study for type 2 diabetes, results remained uncertain (overlapping 95% CI) when each study was deleted from the model once. A lack of certainty exists regarding the association between obesity and the incidence of type 2 diabetes, coronary heart disease, and all-cause stroke in adults.

Causal Association of Overall Obesity and Abdominal Obesity with Type 2 Diabetes: A Mendelian Randomization Analysis

Obesity ◽  
2018 ◽  
Vol 26 (5) ◽  
pp. 934-942 ◽  
Author(s):  
Tao Wang ◽  
Rong Zhang ◽  
Xiaojing Ma ◽  
Shiyun Wang ◽  
Zhen He ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Abdominal Obesity ◽  
Mendelian Randomization ◽  
Causal Association ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis

scholarly journals Sex Differences in the Risk of Coronary Heart Disease Associated With Type 2 Diabetes: A Mendelian Randomization Analysis

2020 ◽  
Author(s):  
Tricia M. Peters ◽  
Michael V. Holmes ◽  
J. Brent Richards ◽  
Tom Palmer ◽  
Vincenzo Forgetta ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Genome Wide Association Study ◽  
Mendelian Randomization ◽  
Causal Effect ◽  
Sensitivity Analyses ◽  
Chd Risk ◽  
Unit Increase

<b>Objective</b>: Observational studies have demonstrated that type 2 diabetes is a stronger risk factor for coronary heart disease (CHD) in women compared with men. However, it is not clear whether this reflects a sex differential in the causal effect of diabetes on CHD risk or results from sex-specific residual confounding. <p><b>Methods</b>: Using 270 single nucleotide polymorphisms (SNPs) for type 2 diabetes identified in a type 2 diabetes genome-wide association study, we performed a sex-stratified Mendelian randomization (MR) study of type 2 diabetes and CHD using individual participant data in UK Biobank (N=251,420 women and 212,049 men). Weighted-median, MR Egger, MR-PRESSO and radial MR from summary-level analyses were used for pleiotropy assessment. </p> <p><b>Results</b>: MR analyses showed that genetic risk of type 2 diabetes increased the odds of CHD for women (odds ratio [OR] 1.13, 95% confidence interval [CI] 1.08-1.18 per 1-log unit increase in odds of type 2 diabetes) and men (OR 1.21, 95% CI 1.17-1.26 per 1-log unit increase in odds of type 2 diabetes). Sensitivity analyses showed some evidence of directional pleiotropy, however, results were similar after correction for outlier SNPs.</p> <p><b>Conclusions</b>: This MR analysis supports a causal effect of genetic liability to type 2 diabetes on risk of CHD that is not stronger for women than men. Assuming a lack of bias, these findings suggest that the prevention and management of type 2 diabetes for CHD risk reduction is of equal priority in both sexes.</p>

Vitamin D, prediabetes and type 2 diabetes: bidirectional Mendelian randomization analysis

2019 ◽  
Vol 59 (4) ◽  
pp. 1379-1388 ◽  
Author(s):  
Ningjian Wang ◽  
Chiyu Wang ◽  
Xiaoman Chen ◽  
Heng Wan ◽  
Yi Chen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Vitamin D ◽  
Mendelian Randomization ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis
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