scholarly journals Mendelian randomization analysis of the causal impact of body mass index and waist-hip ratio on rates of hospital admission

2021 ◽  
pp. 101088
Author(s):  
Audinga-Dea Hazewinkel ◽  
Rebecca C. Richmond ◽  
Kaitlin H. Wade ◽  
Padraig Dixon
Keyword(s):  
Body Mass Index ◽  
Hospital Admission ◽  
Body Mass ◽  
Mendelian Randomization ◽  
Waist Hip Ratio ◽  
Mendelian Randomization Analysis ◽  
Causal Impact ◽  
Randomization Analysis

scholarly journals Causal Effects of Body Mass Index on Cardiometabolic Traits and Events: A Mendelian Randomization Analysis

2014 ◽  
Vol 94 (2) ◽  
pp. 312 ◽  
Author(s):  
Michael V. Holmes ◽  
Leslie A. Lange ◽  
Tom Palmer ◽  
Matthew B. Lanktree ◽  
Kari E. North ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Mendelian Randomization ◽  
Causal Effects ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis ◽  
Cardiometabolic Traits

scholarly journals Assessing the causal impact of adiposity variation on rates of hospital admission: Application of Mendelian randomization

2020 ◽  
Author(s):  
Audinga-Dea Hazewinkel ◽  
Padraig Dixon ◽  
Rebecca Richmond ◽  
Kaitlin H Wade
Keyword(s):  
Body Mass Index ◽  
Hospital Admission ◽  
Body Mass ◽  
Hospital Admissions ◽  
Mendelian Randomization ◽  
Causal Role ◽  
Hospital Admission Rate ◽  
Admission Rates ◽  
Waist Hip Ratio

Background Body mass index (BMI) and waist-hip-ratio (WHR) are measures of adiposity, the former being a good marker for overall total body fat, the latter describing regional adiposity. Higher adiposity has been associated with the increased prevalence of many chronic diseases and a positive association between BMI and increased hospital admissions has previously been established. The aim of this study was to estimate the causal relationship between BMI, WHR and WHR adjusted for BMI (WHRadjBMI) and yearly hospital admission rates. Methods and Findings Mendelian randomization (MR) approaches were used to test the causal effect of BMI, WHR and WHRadjBMI on yearly hospital admission rates. Using data on 310,471 participants of White-British ancestry from the UK Biobank, we performed one-sample and two-sample MR analyses on the exposures individually and in a multivariable setting. MR analyses supported a causal role of adiposity on hospital admissions, with consistency across one- and two-sample MR methods. Primarily, one-sample MR analyses estimated fold-increases in yearly hospital admission rates of 1.13 (95% CI: 1.02, 1.27), 1.26 (95% CI: 1.00, 1.58) and 1.22 (95% CI: 1.01, 1.47) per SD for BMI, WHR and WHRadjBMI, respectively. A multivariable approach yielded estimates of 1.04 (95% CI: 0.99, 1.03) for BMI and 1.31 (95% CI: 1.04, 1.67) for WHR, while adjusting for WHR and BMI, respectively. Conclusions The results support a causal role of higher BMI and WHR in increasing the yearly hospital admission rate. The attenuation of the BMI effect, when adjusting for WHR in the multivariable MR analyses, suggested that an adverse fat distribution, rather than a higher BMI itself, may drive the relationship between adiposity and increased risk of hospital admission. Keywords: Body mass index (BMI), waist-hip-ratio (WHR), hospital admission, Mendelian randomization

scholarly journals Causal Effects of Body Mass Index on Cardiometabolic Traits and Events: A Mendelian Randomization Analysis

2014 ◽  
Vol 94 (2) ◽  
pp. 198-208 ◽  
Author(s):  
Michael V. Holmes ◽  
Leslie A. Lange ◽  
Tom Palmer ◽  
Matthew B. Lanktree ◽  
Kari E. North ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Mendelian Randomization ◽  
Causal Effects ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis ◽  
Cardiometabolic Traits

scholarly journals Body mass index and breast cancer survival: a Mendelian randomization analysis

2017 ◽  
Vol 46 (6) ◽  
pp. 1814-1822 ◽  
Author(s):  
Qi Guo ◽  
Stephen Burgess ◽  
Constance Turman ◽  
Manjeet K Bolla ◽  
Qin Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Body Mass ◽  
Cancer Survival ◽  
Mendelian Randomization ◽  
Breast Cancer Survival ◽  
Mendelian Randomization Analysis ◽  
Randomization Analysis

The relationship between body mass index and the risk of development of Dupuytren’s disease: a Mendelian randomization study

2020 ◽  
pp. 175319342095855
Author(s):  
Mustafa Majeed ◽  
Akira Wiberg ◽  
Michael Ng ◽  
Michael V. Holmes ◽  
Dominic Furniss
Keyword(s):  
Body Mass Index ◽  
Standard Deviation ◽  
Confidence Interval ◽  
Body Mass ◽  
Mendelian Randomization ◽  
Dupuytren’S Disease ◽  
Standard Deviation Increase ◽  
Dupuytren's Disease ◽  
Relative Odds ◽  
Waist Hip Ratio

We performed Mendelian randomization analyses of body mass index and waist–hip ratio adjusted for body mass index in Dupuytren’s disease using summary statistics from genome-wide association study meta-analyses. We found that adiposity is causally protective against Dupuytren’s disease, with the inverse-variance weighted Mendelian randomization analysis estimating that a 1 standard deviation increase in body mass index (equivalent to 4.8 kg/m2) leads to 28% (95% confidence interval: 18–37%) lower relative odds of developing Dupuytren’s disease, and a 1 standard deviation increase in waist–hip ratio adjusted for body mass index (equivalent to a waist–hip ratio of 0.09) leads to 26% (95% confidence interval: 6–42%) lower relative odds of developing Dupuytren’s disease. We conclude from this study that regardless of the well-established negative health effects of obesity, the raised body mass index is associated with a lower risk of Dupuytren’s disease and may be causally protective for the development of the disease.

scholarly journals Leveraging genetic data to elucidate the relationship between Covid-19 and ischemic stroke

2021 ◽  
Author(s):  
Verena Zuber ◽  
Alan Cameron ◽  
Evangelos P. Myserlis ◽  
Leonardo Bottolo ◽  
Israel Fernandez-Cadenas ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Ischemic Stroke ◽  
Body Mass ◽  
Mendelian Randomization ◽  
Genetic Data ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Increased Risk ◽  
The Relationship ◽  
Randomization Analysis

AbstractBackgroundThe relationship between coronavirus disease 2019 (Covid-19) and ischemic stroke is poorly defined. We aimed to leverage genetic data to investigate reported associations.MethodsGenetic association estimates for liability to Covid-19 and cardiovascular traits were obtained from large-scale consortia. Analyses primarily focused on critical Covid-19, defined as hospitalization with Covid-19 requiring respiratory support or resulting in death. Cross-trait linkage disequilibrium score regression was used to estimate genetic correlations of critical Covid-19 with ischemic stroke, other related cardiovascular outcomes, and risk factors common to both Covid-19 and cardiovascular disease (body mass index, smoking and chronic inflammation, estimated using C-reactive protein). Mendelian randomization analysis was performed to investigate whether liability to critical Covid-19 was associated with increased risk of any of the cardiovascular outcomes for which genetic correlation was identified.ResultsThere was evidence of genetic correlation between critical Covid-19 and ischemic stroke (rg=0.29, FDR p-value=4.65×10−3), body mass index (rg=0.21, FDR-p-value=6.26×10−6) and C-reactive protein (rg=0.20, FDR-p-value=1.35×10−4), but none of the other considered traits. In Mendelian randomization analysis, liability to critical Covid-19 was associated with increased risk of ischemic stroke (odds ratio [OR] per logOR increase in genetically predicted critical Covid-19 liability 1.03, 95% confidence interval 1.00-1.06, p-value=0.03). Similar estimates were obtained when considering ischemic stroke subtypes. Consistent estimates were also obtained when performing statistical sensitivity analyses more robust to the inclusion of pleiotropic variants, including multivariable Mendelian randomization analyses adjusting for potential genetic confounding through body mass index, smoking and chronic inflammation. There was no evidence to suggest that genetic liability to ischemic stroke increased the risk of critical Covid-19.ConclusionsThese data support that liability to critical Covid-19 is associated with an increased risk of ischemic stroke. The host response predisposing to severe Covid-19 is likely to increase the risk of ischemic stroke, independent of other potentially mitigating risk factors.

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