scholarly journals Causal Association Between Birth Weight and Adult Diseases: Evidence From a Mendelian Randomization Analysis

2019 ◽  
Vol 10 ◽  
Author(s):  
Ping Zeng ◽  
Xiang Zhou
Keyword(s):  
Birth Weight ◽  
Mendelian Randomization ◽  
Causal Association ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis

scholarly journals Mendelian randomization analysis to characterize causal association between coronary artery disease and COVID-19

2020 ◽  
Author(s):  
Lang Wu ◽  
Jingjing Zhu ◽  
Chong Wu
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Observational Studies ◽  
Mendelian Randomization ◽  
Causal Association ◽  
Mendelian Randomization Analysis ◽  
Log Odds ◽  
Individual Decisions ◽  
Artery Disease ◽  
Randomization Analysis

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.

Abstract B76: Evidence of a causal association between fasting insulin concentrations and endometrial cancer: A Mendelian randomization analysis

2012 ◽  
Vol 5 (11 Supplement) ◽  
pp. B76-B76
Author(s):  
Kevin T. Nead ◽  
Robert A. Scott ◽  
Stephen A. Sharp ◽  
Adam S. Butterworth ◽  
Deborah J. Thompson ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Mendelian Randomization ◽  
Fasting Insulin ◽  
Causal Association ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis

scholarly journals Observational and Causal Association of Blood Vitamin D with Gut Microbiota: Evidence from a Prospective Cohort and Mendelian Randomization Analysis

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1513-1513
Author(s):  
Ju-Sheng Zheng ◽  
Xu Fengzhe ◽  
Yu-Ming Chen
Keyword(s):  
Vitamin D ◽  
Gut Microbiota ◽  
Prospective Cohort ◽  
Mendelian Randomization ◽  
Vitamin D Status ◽  
Causal Association ◽  
Mendelian Randomization Analysis ◽  
Prospective Association ◽  
Randomization Analysis ◽  
Microbiota Diversity

Abstract Objectives Little is known about the relationship between blood vitamin D status and gut microbiota. We aimed to investigate the prospective association of blood 25-hydroxyvitamin D (25(OH)D) with gut microbiota and assess their potential causal relationship. Methods Our study was based on the Guangzhou Nutrition and Health Study, a community-based prospective cohort in China. We examined the prospective association of baseline 25(OH)D with gut microbiota diversity, composition and individual taxa (mean 4.3 years of follow-up) (n = 1757) using linear or logistic regression models. Using genetic variants as instrument variables, we used a Mendelian randomization analysis to assess the causal relationship between 25(OH)D and gut microbiota. Results Higher blood 25(OH)D levels were associated with higher alpha-diversity indicators: including Chao1 index, Shannon index and Observed OUTs index (all P < 0.01, comparing extreme quartiles (Q) of 25(OH)D). Significant difference (P < 0.01) in beta-diversity was also found between Q1 and Q4 of 25(OH)D. Meanwhile, high 25(OH)D (Q4 versus Q1) was prospectively associated with the gut enterotype (Prevotella) and with differences in 37 individual taxa of gut microbiota (P < 0.05). Mendelian randomization analysis suggested that higher 25(OH)D was causally associated with higher abundance of Erysipelotrichaceae and with presence of Rothia. Conclusions Blood vitamin D status is prospectively associated with future gut microbiota diversity and composition. Available evidence suggests a potential causal association of vitamin D with some gut bacteria, and more research is needed to confirm these results. Funding Sources National Natural Science Foundation of China (81,903,316, 81,773,416).

scholarly journals Causal Association of Trauma With Subsequent Psychiatric Disorder: A Mendelian Randomization Study

2021 ◽  
Author(s):  
Dongqing Gu ◽  
Shan Ou ◽  
Guodong Liu
Keyword(s):  
Psychiatric Disorder ◽  
Mood Disorder ◽  
Mendelian Randomization ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Causal Association ◽  
Post Traumatic Stress ◽  
Mendelian Randomization Analysis ◽  
Increased Risk ◽  
Randomization Analysis

Abstract Objective Trauma has been proposed as a risk factor for the development of psychiatric disorder. This study aimed to determine the causal association between them. Methods Two-sample Mendelian randomization analyses were performed to estimate the causal association between trauma and psychiatric disorder. We obtained summary-level data for genetic variants associated with trauma and the corresponding association with psychiatric disorder from previous genome-wide association studies, and inverse variance weighted was used as the main method in our Mendelian randomization analysis. Results Genetically predisposed trauma was associated with an increased risk of psychiatric disorder (odds ratio [OR] = 1.02, 95% confidence interval [CI], 1.01–1.02,), mood disorder (OR = 1.01, 95% CI, 1.00-1.01) and depression (OR = 1.02, 95% CI, 1.01–1.02) in UK Biobank, as well as increased risk of mood disorder (OR = 1.23, 95% CI, 1.03–1.48), depression (OR = 1.10, 95% CI, 1.04–1.17), bipolar disorder (OR = 1.24, 95% CI, 1.04–1.49) and schizophrenia (OR = 1.47, 95% CI, 1.21–1.78) in data source from MR Base. However, Mendelian randomization evidence did not support an association between trauma and risk of post-traumatic stress disorder, anxiety disorder, sleep disorder, and eating disorder. Conclusions Findings from our Mendelian randomization analysis suggested that trauma might be causally associated with an increased risk of some common psychiatric disorder such as depression.

scholarly journals Irritable Bowel Syndrome and Migraine: Evidence From Mendelian Randomization Analysis in the UK Biobank

2021 ◽  
Author(s):  
Jie Chen ◽  
Xuejie Chen ◽  
Ying Xie ◽  
Yuhao Sun ◽  
Xiaoyan Wang ◽  
...  
Keyword(s):  
Irritable Bowel Syndrome ◽  
Mendelian Randomization ◽  
Causal Association ◽  
Uk Biobank ◽  
Mendelian Randomization Analysis ◽  
Inverse Variance ◽  
Irritable Bowel ◽  
The Uk ◽  
And Control ◽  
Randomization Analysis

Abstract Background: IBS and Migraine are two diseases featuring high prevalence. Previous studies have suggested a relationship between Irritable Bowel Syndrome (IBS) and migraine, although the causal association remains unclear. We sought to explore the causal association between IBS and migraine, and to prove the importance of migraine prevention in IBS patients.Methods: This study used a two-sample Mendelian-randomization analysis to explore the association of IBS with migraine. Genetic association with migraine were acquired from the UK Biobank (UKB) genetic databases (cases: 1,072; controls: 360,122). We performed estimation using Inverse Variance Weighting (IVW), along with Maximum Likelihood, MR-RAPS, MR-Egger and Weighted Median for sensitivity analysis. Considering possible bias, we also conducted polymorphism, heterogeneity, and directional analysis.Results: The IVW estimation genetically predicted the causal association between IBS and migraine (OR=1.09, 95%CI 1.01 to 1.17, p=0.03). Neither statistical horizontal pleiotropy (MR Egger p=0.42; MR-PRESSO p=0.78) nor possible heterogeneity (IVW Q = 26.15, p=0.80) was found. Reverse causation was also not detected (p steiger<0.01).Conclusion: Mendelian randomization analysis supported a positive-going causal association of IBS with migraine, providing enlightenment for disease prevention and control.

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
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