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 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

scholarly journals Association between plasma uric acid and insulin resistance in type 2 diabetes: A Mendelian randomization analysis

2021 ◽  
Vol 171 ◽  
pp. 108542
Author(s):  
Xueting Hu ◽  
Shuang Rong ◽  
Qiang Wang ◽  
Taoping Sun ◽  
Wei Bao ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Uric Acid ◽  
Mendelian Randomization ◽  
Plasma Uric Acid ◽  
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

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

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

Type 2 diabetes is causally associated with depression: a Mendelian randomization analysis

2018 ◽  
Vol 12 (6) ◽  
pp. 678-687 ◽  
Author(s):  
Liping Xuan ◽  
Zhiyun Zhao ◽  
Xu Jia ◽  
Yanan Hou ◽  
Tiange Wang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Mendelian Randomization ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis

scholarly journals Circulating selenium and prostate cancer risk: a Mendelian randomization analysis

2017 ◽  
Author(s):  
James Yarmolinsky ◽  
Carolina Bonilla ◽  
Philip C Haycock ◽  
Ryan JQ Langdon ◽  
Luca A Lotta ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Type 2 Diabetes ◽  
Cancer Risk ◽  
Mendelian Randomization ◽  
Prostate Cancer Risk ◽  
Selenium Supplementation ◽  
High Grade ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis

AbstractIn the Selenium and Vitamin E Cancer Prevention Trial (SELECT), selenium supplementation (causing a median 114 μg/L increase in circulating selenium) did not lower overall prostate cancer risk, but increased risk of high-grade prostate cancer and type 2 diabetes. Mendelian randomization analysis uses genetic variants to proxy modifiable risk factors and can strengthen causal inference in observational studies. We constructed a genetic risk score comprising eleven single-nucleotide polymorphisms robustly (P<5x10−8) associated with circulating selenium in genome-wide association studies. In a Mendelian randomization analysis of 72,729 men in the PRACTICAL Consortium (44,825 cases, 27,904 controls), 114 μg/L higher genetically-elevated circulating selenium was not associated with prostate cancer (OR: 1.01; 95% CI: 0.89-1.13). Concordant with findings from SELECT, selenium was weakly associated with advanced (including high-grade) prostate cancer (OR: 1.21; 95% CI: 0.98-1.49) and type 2 diabetes (OR: 1.18; 95% CI: 0.97-1.43; in a type 2 diabetes GWAS meta-analysis with up to 49,266 cases, 249,906 controls). Mendelian randomization mirrored the outcome of selenium supplementation in SELECT and may offer an approach for the prioritization of interventions for follow-up in large-scale randomized controlled trials.

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