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The causal effect of adiposity on hospital costs: Mendelian Randomization analysis of over 300,000 individuals from the UK Biobank

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Genetic Association of Waist-to-Hip Ratio With Cardiometabolic Traits, Type 2 Diabetes, and Coronary Heart Disease
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Association of Body Mass Index With Cardiometabolic Disease in the UK Biobank
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Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
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Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator
inferredcites →https://doi.org/10.1002/gepi.22041openalex-snapshot
Semiparametric methods for estimation of a nonlinear exposure‐outcome relationship using instrumental variables with application to Mendelian randomization
inferredcites →https://doi.org/10.1002/gepi.22138openalex-snapshot
Bias in Mendelian randomization due to assortative mating
inferredcites →https://doi.org/10.1002/hec.1745openalex-snapshot
The promise and pitfalls of combining genetic and economic research
inferredcites →https://doi.org/10.1002/oby.21554openalex-snapshot
Body mass index: Has epidemiology started to break down causal contributions to health and disease?
inferredcites →https://doi.org/10.1002/oby.22313openalex-snapshot
BMI and Mortality in UK Biobank: Revised Estimates Using Mendelian Randomization
inferredcites →https://doi.org/10.1002/sim.1186openalex-snapshot
Quantifying heterogeneity in a meta‐analysis
inferredcites →https://doi.org/10.1002/sim.3034openalex-snapshot
Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology
inferredcites →https://doi.org/10.1002/sim.6358openalex-snapshot
The many weak instruments problem and Mendelian randomization
inferredcites →https://doi.org/10.1007/978-1-4612-2748-9openalex-snapshot
Causation, Prediction, and Search
inferredcites →https://doi.org/10.1007/bf01065686openalex-snapshot
Assortative mating, or who marries whom?
inferredcites →https://doi.org/10.1007/s40258-018-0450-2openalex-snapshot
The Association Between Adiposity and Inpatient Hospital Costs in the UK Biobank Cohort
inferredcites →https://doi.org/10.1007/s40273-014-0230-2openalex-snapshot
Savings in Medical Expenditures Associated with Reductions in Body Mass Index Among US Adults with Obesity, by Diabetes Status
inferredcites →https://doi.org/10.1007/s40273-016-0432-xopenalex-snapshot
Estimating Marginal Healthcare Costs Using Genetic Variants as Instrumental Variables: Mendelian Randomization in Economic Evaluation
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Five Years of GWAS Discovery
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Economic costs of overweight and obesity
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Reporting error in weight and its implications for bias in economic models
inferredcites →https://doi.org/10.1016/j.ehb.2018.07.003openalex-snapshot
The health care costs of childhood obesity in Australia: An instrumental variables approach
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Preventing childhood obesity: Health in the balance: Executive summary
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Beyond BMI: The value of more accurate measures of fatness and obesity in social science research
inferredcites →https://doi.org/10.1016/j.jhealeco.2011.10.003openalex-snapshot
The medical care costs of obesity: An instrumental variables approach
inferredcites →https://doi.org/10.1016/j.jhealeco.2015.03.001openalex-snapshot
An economy of scales: A selective review of obesity's economic causes, consequences, and solutions
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Genetic markers as instrumental variables
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The many faces of pleiotropy
inferredcites →https://doi.org/10.1016/s0140-6736(03)12520-2openalex-snapshot
Population stratification and spurious allelic association
inferredcites →https://doi.org/10.1016/s0140-6736(05)67642-8openalex-snapshot
A farewell to body-mass index?
inferredcites →https://doi.org/10.1016/s0140-6736(05)67663-5openalex-snapshot
Obesity and the risk of myocardial infarction in 27 000 participants from 52 countries: a case-control study
inferredcites →https://doi.org/10.1016/s0140-6736(10)62037-5openalex-snapshot
National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1 million participants
inferredcites →https://doi.org/10.1016/s0140-6736(11)60814-3openalex-snapshot
Health and economic burden of the projected obesity trends in the USA and the UK
inferredcites →https://doi.org/10.1016/s0140-6736(12)60404-8openalex-snapshot
What makes UK Biobank special?
inferredcites →https://doi.org/10.1016/s0140-6736(13)60937-xopenalex-snapshot
Maternal and child undernutrition and overweight in low-income and middle-income countries
inferredcites →https://doi.org/10.1016/s0140-6736(14)60460-8openalex-snapshot
Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013
inferredcites →https://doi.org/10.1016/s0140-6736(16)00588-2openalex-snapshot
A fatter, healthier but more unequal world
inferredcites →https://doi.org/10.1016/s0140-6736(16)30054-xopenalex-snapshot
Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants
inferredcites →https://doi.org/10.1038/nature14177openalex-snapshot
Genetic studies of body mass index yield new insights for obesity biology
inferredcites →https://doi.org/10.1038/ncomms10495openalex-snapshot
New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk
inferredcites →https://doi.org/10.1038/ng.3570openalex-snapshot
Detection and interpretation of shared genetic influences on 42 human traits
inferredcites →https://doi.org/10.1038/ng1847openalex-snapshot
Principal components analysis corrects for stratification in genome-wide association studies
inferredcites →https://doi.org/10.1038/nrc927openalex-snapshot
Cachexia in cancer patients
inferredcites →https://doi.org/10.1038/nrcardio.2017.78openalex-snapshot
Mendelian randomization in cardiometabolic disease: challenges in evaluating causality
inferredcites →https://doi.org/10.1038/nrg1521openalex-snapshot
Genome-wide association studies for common diseases and complex traits
inferredcites →https://doi.org/10.1038/nrg2344openalex-snapshot
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
inferredcites →https://doi.org/10.1038/nrm1583openalex-snapshot
Friendly rivalry
inferredcites →https://doi.org/10.1038/s41467-018-08219-1openalex-snapshot
Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis
inferredcites →https://doi.org/10.1038/s41467-020-17117-4openalex-snapshot
Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses
inferredcites →https://doi.org/10.1038/s41576-018-0020-3openalex-snapshot
Using genetic data to strengthen causal inference in observational research
inferredcites →https://doi.org/10.1038/s41586-018-0579-zopenalex-snapshot
The UK Biobank resource with deep phenotyping and genomic data
inferredcites →https://doi.org/10.1055/s-0043-103789openalex-snapshot
Apfeltyp erhöht Diabetes- und KHK-Risiko
inferredcites →https://doi.org/10.1056/nejmsr1606602openalex-snapshot
Body Fatness and Cancer — Viewpoint of the IARC Working Group
inferredcites →https://doi.org/10.1093/aje/kwu283openalex-snapshot
Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects
inferredcites →https://doi.org/10.1093/aje/kwv017openalex-snapshot
Re: “Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects”
inferredcites →https://doi.org/10.1093/aje/kwx246openalex-snapshot
Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population
inferredcites →https://doi.org/10.1093/aje/kwy185openalex-snapshot
Invited Commentary: Detecting Individual and Global Horizontal Pleiotropy in Mendelian Randomization—A Job for the Humble Heterogeneity Statistic?
inferredcites →https://doi.org/10.1093/aje/kwy204openalex-snapshot
Interpretation and Potential Biases of Mendelian Randomization Estimates With Time-Varying Exposures
inferredcites →https://doi.org/10.1093/biomet/37.3-4.256openalex-snapshot
THE COMPARISON OF PERCENTAGES IN MATCHED SAMPLES
inferredcites →https://doi.org/10.1093/hmg/ddu328openalex-snapshot
Mendelian randomization: genetic anchors for causal inference in epidemiological studies
inferredcites →https://doi.org/10.1093/hmg/ddy163openalex-snapshot
Evaluating the potential role of pleiotropy in Mendelian randomization studies
inferredcites →https://doi.org/10.1093/hmg/ddy271openalex-snapshot
Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry
inferredcites →https://doi.org/10.1093/hmg/ddy434openalex-snapshot
The effect of body mass index on smoking behaviour and nicotine metabolism: a Mendelian randomization study
inferredcites →https://doi.org/10.1093/ije/dyg070openalex-snapshot
‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?*
inferredcites →https://doi.org/10.1093/ije/dyv080openalex-snapshot
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
inferredcites →https://doi.org/10.1093/ije/dyx102openalex-snapshot
Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
inferredcites →https://doi.org/10.1093/ije/dyx206openalex-snapshot
Collider scope: when selection bias can substantially influence observed associations
inferredcites →https://doi.org/10.1093/ije/dyy202openalex-snapshot
Contextualizing selection bias in Mendelian randomization: how bad is it likely to be?
inferredcites →https://doi.org/10.1093/ije/dyy262openalex-snapshot
An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings
inferredcites →https://doi.org/10.1093/oxfordhb/9780199736362.013.0014openalex-snapshot
Challenges for Causal Inference in Obesity Research
inferredcites →https://doi.org/10.1093/oxfordhb/9780199736362.013.0029openalex-snapshot
Obesity and Medical Costs
inferredcites →https://doi.org/10.1097/ede.0000000000000972openalex-snapshot
Selection Bias When Estimating Average Treatment Effects Using One-sample Instrumental Variable Analysis
inferredcites →https://doi.org/10.1101/079707openalex-snapshot
Collider Scope: When selection bias can substantially influence observed associations
inferredcites →https://doi.org/10.1101/173682openalex-snapshot
Automating Mendelian randomization through machine learning to construct a putative causal map of the human phenome
inferredcites →https://doi.org/10.1101/265629openalex-snapshot
Evidence of a common causal relationship between body mass index and inflammatory skin disease: a Mendelian Randomization study
inferredcites →https://doi.org/10.1101/476085openalex-snapshot
MR-TRYX: A Mendelian randomization framework that exploits horizontal pleiotropy to infer novel causal pathways
inferredcites →https://doi.org/10.1111/1475-6773.12708openalex-snapshot
The Impact of Childhood Obesity on Health and Health Service Use
inferredcites →https://doi.org/10.1111/j.1467-789x.2009.00712.xopenalex-snapshot
The economic burden of obesity worldwide: a systematic review of the direct costs of obesity
inferredcites →https://doi.org/10.1126/science.aan6877openalex-snapshot
The nature of nurture: Effects of parental genotypes
inferredcites →https://doi.org/10.1136/bmj.b5043openalex-snapshot
The association between BMI and mortality using offspring BMI as an indicator of own BMI: large intergenerational mortality study
inferredcites →https://doi.org/10.1136/bmj.c2289openalex-snapshot
Random measurement error and regression dilution bias
inferredcites →https://doi.org/10.1136/bmj.k1767openalex-snapshot
Role of obesity in smoking behaviour: Mendelian randomisation study in UK Biobank
inferredcites →https://doi.org/10.1136/bmj.k601openalex-snapshot
Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians
inferredcites →https://doi.org/10.1146/annurev-genom-090314-050016openalex-snapshot
Mendelian Randomization: New Applications in the Coming Age of Hypothesis-Free Causality
inferredcites →https://doi.org/10.1177/014107680710000923openalex-snapshot
Capitalizing on Mendelian randomization to assess the effects of treatments
inferredcites →https://doi.org/10.1177/0962280215597579openalex-snapshot
A review of instrumental variable estimators for Mendelian randomization
inferredcites →https://doi.org/10.1186/1471-2164-11-724openalex-snapshot
Accounting for multiple comparisons in a genome-wide association study (GWAS)
inferredcites →https://doi.org/10.1201/b18084openalex-snapshot
Mendelian Randomization
inferredcites →https://doi.org/10.1214/19-aos1866openalex-snapshot
Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score
inferredcites →https://doi.org/10.12688/wellcomeopenres.10567.1openalex-snapshot
Using Mendelian randomization to determine causal effects of maternal pregnancy (intrauterine) exposures on offspring outcomes: Sources of bias and methods for assessing them
inferredcites →https://doi.org/10.1371/journal.pcbi.1002822openalex-snapshot
Chapter 11: Genome-Wide Association Studies
inferredcites →https://doi.org/10.1371/journal.pmed.0040352openalex-snapshot
Clustered Environments and Randomized Genes: A Fundamental Distinction between Conventional and Genetic Epidemiology
inferredcites →https://doi.org/10.1371/journal.pmed.1001779openalex-snapshot
UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
inferredcites →https://doi.org/10.1371/journal.pone.0108891openalex-snapshot
Using Multivariable Mendelian Randomization to Disentangle the Causal Effects of Lipid Fractions
inferredcites →https://doi.org/10.1513/pats.200907-058dpopenalex-snapshot
Genome-Wide Association Studies: What Do They Teach Us about Asthma and Chronic Obstructive Pulmonary Disease?
inferredcites →https://doi.org/10.1515/9781400829828openalex-snapshot
Mostly Harmless Econometrics
inferredcites →https://doi.org/10.1534/genetics.110.122549openalex-snapshot
One Hundred Years of Pleiotropy: A Retrospective
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The Estimation of Economic Relationships using Instrumental Variables
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The Effect of Age at School Entry on Educational Attainment: An Application of Instrumental Variables with Moments from Two Samples
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BMI as a Modifiable Risk Factor for Type 2 Diabetes: Refining and Understanding Causal Estimates Using Mendelian Randomization
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Effectiveness and efficiency of guideline dissemination and implementation strategies
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Systematic review of the long-term effects and economic consequences of treatments for obesity and implications for health improvement
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The Effect of Age at School Entry on Educational Attainment: An Application of Instrumental Variables with Moments from Two Samples
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Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies
inferredcites →https://doi.org/10.5860/choice.49-5705openalex-snapshot
The Oxford handbook of the social science of obesity
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Causation, Prediction, and Search
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The MR-Base platform supports systematic causal inference across the human phenome
inferredcites →https://doi.org/10.7554/elife.39725openalex-snapshot
Reduced signal for polygenic adaptation of height in UK Biobank

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.ehb.2022.101154openalex-snapshot
Estimating the causal effect of liability to disease on healthcare costs using Mendelian Randomization
inferred← citeshttps://doi.org/10.1038/s41366-021-00896-1openalex-snapshot
Effects of adiposity on the human plasma proteome: observational and Mendelian randomisation estimates
inferred← citeshttps://doi.org/10.1177/0272989x20971589openalex-snapshot
Modeling Obesity in Norway (The MOON Study): A Decision-Analytic Approach—Prevalence, Costs, and Years of Life Lost
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