Deep transfer learning of brain shape morphometry predicts Body Mass Index (BMI) in the UK Biobank

2020 ◽  
Author(s):  
Ling-Li Zeng ◽  
Christopher R. K. Ching ◽  
Zvart Abaryan ◽  
Sophia I. Thomopoulos ◽  
Kai Gao ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Transfer Learning ◽  
Body Mass ◽  
Uk Biobank ◽  
The Uk ◽  
Brain Shape

scholarly journals Association of Body Mass Index With Cardiometabolic Disease in the UK Biobank

2017 ◽  
Vol 2 (8) ◽  
pp. 882 ◽  
Author(s):  
Donald M. Lyall ◽  
Carlos Celis-Morales ◽  
Joey Ward ◽  
Stamatina Iliodromiti ◽  
Jana J. Anderson ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Cardiometabolic Disease ◽  
Uk Biobank ◽  
The Uk

scholarly journals Homogeneity in the association of body mass index with type 2 diabetes across the UK Biobank: A Mendelian randomization study

PLoS Medicine ◽  
2019 ◽  
Vol 16 (12) ◽  
pp. e1002982 ◽  
Author(s):  
Michael Wainberg ◽  
Anubha Mahajan ◽  
Anshul Kundaje ◽  
Mark I. McCarthy ◽  
Erik Ingelsson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Body Mass ◽  
Mendelian Randomization ◽  
Uk Biobank ◽  
The Uk

Do Serum Urate–Associated Genetic Variants Differentially Contribute to Gout Risk According to Body Mass Index? Analysis of the UK Biobank

2020 ◽  
Vol 72 (7) ◽  
pp. 1184-1191 ◽  
Author(s):  
Vicky Tai ◽  
Ravi K. Narang ◽  
Greg Gamble ◽  
Murray Cadzow ◽  
Lisa K. Stamp ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Genetic Variants ◽  
Serum Urate ◽  
Uk Biobank ◽  
Index Analysis ◽  
The Uk

Increased brain volume from cereal, decreased brain volume from coffee -- shared genetic determinants and impacts on cognitive function, body mass index (BMI) and other metabolic measures: cohort study of UK Biobank participants

2020 ◽  
Author(s):  
Jujiao Kang ◽  
Tianye Jia ◽  
Zeyu Jiao ◽  
Chun Shen ◽  
Chao Xie ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cohort Study ◽  
Body Mass ◽  
Grey Matter ◽  
Brain Volume ◽  
Grey Matter Volume ◽  
Uk Biobank ◽  
Matter Volume ◽  
The Uk ◽  
Genetic Constructs

AbstractObjectiveTo explore how different diets may affect human brain development and if genetic and environmental factors play a part.DesignCohort study.SettingUK Biobank data were collected from 22 centres across the UK.ParticipantsOnly white British individuals free of Alzheimer’s or dementia diseases were included in the study, where 336517 participants had quality-controlled genetic data, and 18879 participants had qualified brain MRI data.Main outcome measuresGrey matter volume, intake of cereal and coffee, body mass index and blood cholesterol level.ResultsWe investigated diet effects in the UK Biobank data and discovered anti-correlated brain-wide grey matter volume (GMV)-association patterns between coffee and cereal intake, coincidence with their anti-correlated genetic constructs. These genetic factors may further affect people’s lifestyle habits and body/blood fat levels through the mediation of cereal/coffee intake, and the brain-wide expression pattern of gene CPLX3, a dedicated marker of subplate neurons that regulate cortical development and plasticity, may underlie the shared GMV-association patterns among the coffee/cereal intake and cognitive functions.ConclusionsOur findings revealed that high-cereal and low-coffee diets shared similar brain and genetic constructs, leading to long-term beneficial associations regarding cognitive, BMI and other metabolic measures. This study has important implications for public health, especially during the pandemic, given the poorer outcomes of COVID-19 patients with greater BMIs.

scholarly journals Birth Weight and Adult Obesity Index in Relation to the Risk of Hypertension: A Prospective Cohort Study in the UK Biobank

2021 ◽  
Vol 8 ◽  
Author(s):  
Yi Zhang ◽  
Jingjia Liang ◽  
Qian Liu ◽  
Xikang Fan ◽  
Cheng Xu ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Birth Weight ◽  
Body Mass ◽  
Sensitivity Analyses ◽  
Inverse Association ◽  
Uk Biobank ◽  
Adult Obesity ◽  
Lower Birth Weight ◽  
Obesity Index ◽  
The Uk

Objectives: To investigate the association between birth weight and the risk of hypertension, and to examine the interaction between birth weight and the adult obesity index.Methods: We included 199,893 participants who had birth weight data and no history of hypertension at baseline (2006–2010) from the UK Biobank. A multivariate cubic regression spline was used to visually explore the dose-response relationship. Multivariate Cox proportional hazard regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs).Results: We observed a nonlinear inverse association between birth weight and hypertension. The risk for hypertension decreased as birth weight increased up to approximately 3.80 kg. Compared with the participants with the fourth quintile of birth weight (3.43–3.80 kg), those with the first quartile of birth weight (<2.88 kg) were associated with a 25% higher risk of hypertension [HR 1.25; 95% CI (1.18–1.32)]. In addition, the participants with birth weight <2.88 kg and body mass index ≥30 kg/m2 had the highest risk [HR 3.54; 95% CI (3.16–3.97); p for interaction <0.0001], as compared with those with birth weight between 3.43–3.80 kg and body mass index between 18.5–25.0 kg/m2. These associations were largely consistent in the stratified and sensitivity analyses.Conclusion: Our findings indicate that lower birth weight is nonlinearly correlated with higher risk of hypertension, and birth weight between 3.43–3.80 kg might represent an intervention threshold. Moreover, lower birth weight may interact with adult obesity to significantly increase hypertension risk.

scholarly journals NON-WHITE ETHNICITY, MALE SEX, AND HIGHER BODY MASS INDEX, BUT NOT MEDICATIONS ACTING ON THE RENIN-ANGIOTENSIN SYSTEM ARE ASSOCIATED WITH CORONAVIRUS DISEASE 2019 (COVID-19) HOSPITALISATION: REVIEW OF THE FIRST 669 CASES FROM THE UK BIOBANK

2020 ◽  
Author(s):  
Zahra Raisi-Estabragh ◽  
Celeste McCracken ◽  
Maddalena Ardissino ◽  
Mae S Bethell ◽  
Jackie Cooper ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Positive Result ◽  
Body Mass ◽  
Angiotensin Receptor Blockers ◽  
Hospital Setting ◽  
Uk Biobank ◽  
White Ethnicity ◽  
Increased Risk ◽  
Male Sex ◽  
The Uk

Background: Cardiometabolic morbidity and medications, specifically Angiotensin Converting Enzyme inhibitors (ACEi) and Angiotensin Receptor Blockers (ARBs), have been linked with adverse outcomes from coronavirus disease 2019 (COVID-19). This study aims to investigate factors associated with COVID-19 positivity for the first 669 UK Biobank participants; compared with individuals who tested negative, and with the untested, presumed negative, rest of the population. Methods: We studied 1,474 participants from the UK Biobank who had been tested for COVID-19. Given UK testing policy, this implies a hospital setting, suggesting at least moderate to severe symptoms. We considered the following exposures: age, sex, ethnicity, body mass index (BMI), diabetes, hypertension, hypercholesterolaemia, ACEi/ARB use, prior myocardial infarction (MI), and smoking. We undertook comparisons between: 1) COVID-19 positive and COVID-19 tested negative participants; and 2) COVID-19 tested positive and the remaining participants (tested negative plus untested, n=501,837). Logistic regression models were used to investigate univariate and mutually adjusted associations. Results: Among participants tested for COVID-19, non-white ethnicity, male sex, and greater BMI were independently associated with COVID-19 positive result. Non-white ethnicity, male sex, greater BMI, diabetes, hypertension, prior MI, and smoking were independently associated with COVID-19 positivity compared to the remining cohort (test negatives plus untested). However, similar associations were observed when comparing those who tested negative for COVID-19 with the untested cohort; suggesting that these factors associate with general hospitalisation rather than specifically with COVID-19. Conclusions: Among participants tested for COVID-19 with presumed moderate to severe symptoms in a hospital setting, non-white ethnicity, male sex, and higher BMI are associated with a positive result. Other cardiometabolic morbidities confer increased risk of hospitalisation, without specificity for COVID-19. Notably, ACE/ARB use did not associate with COVID-19 status.

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