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 Paternal body mass index before conception associated with offspring's birth weight in Chinese population: a prospective study

2021 ◽  
Author(s):  
Renying Xu ◽  
Weixiu Zhao ◽  
Tao Tan ◽  
Haojie Li ◽  
Yanping Wan
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Birth Weight ◽  
Body Mass ◽  
Sensitivity Analyses ◽  
Gestational Weight ◽  
A Prospective Study ◽  
The Relationship ◽  
Multivariable Adjustment ◽  
Chinese Mother

Whether paternal epigenetic information of nutrition might be inherited by their offspring remained unknown. evaluate the relationship between preconception paternal body weight and their offspring's birth weight in 1,810 Chinese mother-father-baby trios. Information on paternal and maternal preconception body weight and height was collected via a self-reported questionnaire. Birth weight was collected from medical records. Paternal preconception body weight was associated with offspring's birth weight (p trend=0.02) after multivariable adjustment. Each standard deviation increment of paternal body mass index was associated with an additional 29.6 g increase of birth weight (95% confident interval: 5.7g, 53.5g). The association was more pronounced in male neonates, and neonates with overweight mothers, and with mothers who gained excessive gestational weight, compared to their counterparts (all p interaction<0.05). Sensitivity analyses showed similar pattern to that of the main analysis. Paternal preconception body weight was associated with birth weight of their offspring.

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 Association between premorbid body mass index and amyotrophic lateral sclerosis: causal inference through genetic approaches

2019 ◽  
Author(s):  
Ping Zeng ◽  
Xinghao Yu ◽  
Haibo Xu
Keyword(s):  
Body Mass Index ◽  
Amyotrophic Lateral Sclerosis ◽  
Causal Relationship ◽  
Body Mass ◽  
European Population ◽  
Sensitivity Analyses ◽  
Genome Wide Association Studies ◽  
Inverse Association ◽  
Standard Deviation Increase ◽  
Lateral Sclerosis

Background: Inverse association between premorbid body mass index (BMI) and amyotrophic lateral sclerosis (ALS) has been discovered in observational studies; however, whether this association is causal remains largely unknown. Methods: We employed a two-sample Mendelian randomization approach to evaluate the causal relationship of genetically increased BMI with the risk of ALS. The analyses were implemented using summary statistics obtained for the independent instruments identified from large-scale genome-wide association studies of BMI (up to ~770,000 individuals) and ALS (up to ~81,000 individuals). The causal relationship between BMI and ALS was estimated using inverse-variance weighted methods and was further validated through extensive complementary and sensitivity analyses. Findings: Using 1,031 instruments strongly related to BMI, the causal effect of per one standard deviation increase of BMI was estimated to be 1.04 (95% CI 0.97~1.11, p=0.275) in the European population. The null association between BMI and ALS discovered in the European population also held in the East Asian population and was robust against various modeling assumptions and outlier biases. Additionally, the Egger-regression and MR-PRESSO ruled out the possibility of horizontal pleiotropic effects of instruments. Interpretation: Our results do not support the causal role of genetically increased or decreased BMI on the risk of ALS.

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

scholarly journals Birth weight, BMI in adulthood and latent autoimmune diabetes in adults: A Mendelian randomization study

2021 ◽  
Author(s):  
Yuxia Wei ◽  
Yiqiang Zhan ◽  
Josefin E. Lofvenborg ◽  
Tiinamaija Tuomi ◽  
Sofia Carlsson
Keyword(s):  
Type 2 Diabetes ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Mendelian Randomization ◽  
Autoimmune Diabetes ◽  
Sensitivity Analyses ◽  
Uk Biobank ◽  
Latent Autoimmune Diabetes ◽  
The Uk

Aims: Observational studies have found an increased risk of latent autoimmune diabetes in adults (LADA) associated with low birth weight and adult overweight/obesity. We aimed to investigate whether these associations are causal, using a two-sample Mendelian randomization (MR) design. In addition, we wanted to compare results for LADA and type 2 diabetes. Methods: We identified 129 SNPs as instrumental variables (IVs) for birth weight from a genome-wide association study (GWAS) of the Early Growth Genetics Consortium (EGG) and the UK Biobank. We identified 820 SNPs as IVs for adult BMI from a GWAS of the UK Biobank and the Genetic Investigation of ANthropometric Traits consortium (GIANT). Summary statistics for the associations between IVs and LADA were extracted from the only GWAS involving 2,634 cases and 5,947 population controls. We used the inverse-variance weighted (IVW) estimator as our primary analysis, supplemented by a series of sensitivity analyses. Results: Genetically determined birth weight was inversely associated with LADA (OR per SD [~500 g] decrease in birth weight: 2.02, 95% CI: 1.37-2.97). In contrast, genetically predicted BMI in adulthood was positively associated with LADA (OR per SD [~4.8 kg/m2] increase in BMI: 1.40, 95% CI: 1.14-1.71). Results persisted in a range of sensitivity analyses using other MR estimators or excluding some IVs. With respect to type 2 diabetes, the association with birth weight was not stronger than in LADA while the association with adult BMI was stronger than in LADA. Conclusions/ interpretation: This study provides genetic support for a causal link between low birth weight, adult overweight/obesity, and LADA.

scholarly journals Interaction-based Mendelian randomization with measured and unmeasured gene-by-covariate interactions

2020 ◽  
Author(s):  
Wes Spiller ◽  
Fernando Pires Hartwig ◽  
Eleanor Sanderson ◽  
George Davey Smith ◽  
Jack Bowden
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Mendelian Randomization ◽  
Sensitivity Analyses ◽  
Uk Biobank ◽  
Gene Environment ◽  
Gxe Interactions ◽  
Using Data ◽  
The Uk ◽  
Positive Effect

Studies leveraging gene-environment (GxE) interactions within Mendelian randomization (MR) analyses have prompted the emergence of two methodologies: MR-GxE and MR-GENIUS. Such methods are attractive in allowing for pleiotropic bias to be corrected when using individual instruments. Specifically, MR-GxE requires an interaction to be explicitly identified, while MR-GENIUS does not. We critically examine the assumptions of MR-GxE and MR-GENIUS, and propose sensitivity analyses to evaluate their performance. Finally, we explore the association between body mass index (BMI) and systolic blood pressure (SBP) using data from the UK Biobank. We find both approaches share similar assumptions, though differences between the approaches lend themselves to differing research settings. Where interactions are identified, MR-GxE relies on weaker assumptions and allows for further sensitivity analyses. MR-GENIUS circumvents the need to identify interactions, but relies on the MR-GxE assumptions holding globally. Through applied analyses we find evidence of a positive effect of BMI upon SBP.

scholarly journals Genetic Determinants of Increased Body Mass Index Partially Mediate the Effect of Elevated Birth Weight on the Increased Risk of Atrial Fibrillation

2021 ◽  
Vol 8 ◽  
Author(s):  
Songzan Chen ◽  
Tian Xu ◽  
Fangkun Yang ◽  
Yao Wang ◽  
Kaijie Zhang ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Body Mass Index ◽  
Birth Weight ◽  
Body Mass ◽  
The Body ◽  
Sensitivity Analyses ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
A Genome ◽  
Increased Risk

Background: Although several observational studies have shown an association between birth weight (BW) and atrial fibrillation (AF), controversy remains. In this study, we aimed to explore the role of elevated BW on the etiology of AF.Methods: A two-sample Mendelian randomization (MR) study was designed to infer the causality. The genetic data on the associations of single-nucleotide polymorphisms (SNPs) with BW and AF were separately obtained from two large-scale genome-wide association studies with up to 321,223 and 1,030,836 individuals, respectively. SNPs were identified at a genome-wide significant level (p &lt;5 × 10−8). The inverse variance-weighted (IVW) method was employed to obtain causal estimates as our primary analysis. Sensitivity analyses with various statistical methods were applied to evaluate the robustness of the results, and multivariable MR analysis was conducted to determine whether this association was mediated by the body mass index (BMI).Results: In total, 144 SNPs were identified as the genetic instrumental variables. MR analysis revealed a causal effect of elevated BW on AF (OR = 1.27, 95% CI = 1.14–1.40, p = 5.70 × 10−6). All the results in sensitivity analyses were consistent with the primary result. The effect of BW on AF was attenuated when adjusted for BMI (OR = 1.16, 95% CI = 1.01–1.33, p = 0.04).Conclusions: This study indicated that elevated BW was significantly associated with increased lifelong risk of AF, which may be partially mediated by BMI.

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.

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