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MR-TRYX: A Mendelian randomization framework that exploits horizontal pleiotropy to infer novel causal pathways
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.2010.1361openalex-snapshot
Subclinical Hypothyroidism and the Risk of Coronary Heart Disease and Mortality
inferredcites →https://doi.org/10.1001/jamapsychiatry.2017.3191openalex-snapshot
Inflammatory Biomarkers and Risk of Schizophrenia
inferredcites →https://doi.org/10.1002/gepi.21758openalex-snapshot
Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
inferredcites →https://doi.org/10.1002/gepi.21965openalex-snapshot
Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator
inferredcites →https://doi.org/10.1002/gepi.21998openalex-snapshot
Bias due to participant overlap in two‐sample Mendelian randomization
inferredcites →https://doi.org/10.1002/gepi.22184openalex-snapshot
Constrained instruments and their application to Mendelian randomization with pleiotropy
inferredcites →https://doi.org/10.1002/sim.7221openalex-snapshot
A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization
inferredcites →https://doi.org/10.1016/j.ajhg.2017.06.005openalex-snapshot
10 Years of GWAS Discovery: Biology, Function, and Translation
inferredcites →https://doi.org/10.1016/j.ypmed.2017.06.015openalex-snapshot
Does higher education protect against obesity? Evidence using Mendelian randomization
inferredcites →https://doi.org/10.1016/s2213-8587(15)00386-1openalex-snapshot
Plasma urate concentration and risk of coronary heart disease: a Mendelian randomisation analysis
inferredcites →https://doi.org/10.1037/met0000014openalex-snapshot
Outlier removal, sum scores, and the inflation of the type I error rate in independent samples t tests: The power of alternatives and recommendations.
inferredcites →https://doi.org/10.1038/ejhg.2012.182openalex-snapshot
Analyzing age-specific genetic effects on human extreme age survival in cohort-based longitudinal studies
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/nature17671openalex-snapshot
Genome-wide association study identifies 74 loci associated with educational attainment
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/s41467-017-02317-2openalex-snapshot
Causal associations between risk factors and common diseases inferred from GWAS summary data
inferredcites →https://doi.org/10.1038/s41588-018-0099-7openalex-snapshot
Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases
inferredcites →https://doi.org/10.1038/srep18422openalex-snapshot
Alcohol intake and cardiovascular risk factors: A Mendelian randomisation study
inferredcites →https://doi.org/10.1080/00031305.2016.1154108openalex-snapshot
The ASA Statement on p -Values: Context, Process, and Purpose
inferredcites →https://doi.org/10.1080/00365520600863472openalex-snapshot
Coeliac disease and risk of schizophrenia and other psychosis: A general population cohort study
inferredcites →https://doi.org/10.1093/aje/kwt084openalex-snapshot
Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators
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/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/ije/dyg070openalex-snapshot
‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?*
inferredcites →https://doi.org/10.1093/ije/dyh132openalex-snapshot
Mendelian randomization: prospects, potentials, and limitations
inferredcites →https://doi.org/10.1093/ije/dyr036openalex-snapshot
Avoiding bias from weak instruments in Mendelian randomization studies
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/dyy101openalex-snapshot
Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression
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/ije/dyz280openalex-snapshot
Education, intelligence and Alzheimer’s disease: evidence from a multivariable two-sample Mendelian randomization study
inferredcites →https://doi.org/10.1093/ptj/81.8.1464openalex-snapshot
Sifting the evidence—what's wrong with significance tests?
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/10.1111/obr.12062openalex-snapshot
Educational attainment and obesity: a systematic review
inferredcites →https://doi.org/10.1136/bmj.i582openalex-snapshot
Height, body mass index, and socioeconomic status: mendelian randomisation study in UK Biobank
inferredcites →https://doi.org/10.1136/heartjnl-2016-310605openalex-snapshot
Mendelian randomisation in cardiovascular research: an introduction for clinicians
inferredcites →https://doi.org/10.1186/1744-859x-11-11openalex-snapshot
Body composition in patients with schizophrenia: Comparison with healthy controls
inferredcites →https://doi.org/10.1214/11-sts360openalex-snapshot
On Instrumental Variables Estimation of Causal Odds Ratios
inferredcites →https://doi.org/10.1371/journal.pgen.1007081openalex-snapshot
Orienting the causal relationship between imprecisely measured traits using GWAS summary data
inferredcites →https://doi.org/10.1371/journal.pone.0081098openalex-snapshot
The Relationship of Walking Intensity to Total and Cause-Specific Mortality. Results from the National Walkers’ Health Study
inferredcites →https://doi.org/10.1371/journal.pone.0185663openalex-snapshot
Shared genetic risk between migraine and coronary artery disease: A genome-wide analysis of common variants
inferredcites →https://doi.org/10.1681/asn.2014070660openalex-snapshot
Uric Acid and Cardiovascular Events
inferredcites →https://doi.org/10.2147/nss.s121076openalex-snapshot
Schizophrenia and sleep disorders: links, risks, and management challenges
inferredcites →https://doi.org/10.2337/db16-0418openalex-snapshot
BMI as a Modifiable Risk Factor for Type 2 Diabetes: Refining and Understanding Causal Estimates Using Mendelian Randomization
inferredcites →https://doi.org/10.4158/ep.12.1.5openalex-snapshot
Levothyroxine Replacement Therapy in Patients With Subclinical Hypothyroidism and Coronary Artery Disease
inferredcites →https://doi.org/10.7554/elife.34408openalex-snapshot
The MR-Base platform supports systematic causal inference across the human phenome
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10654-022-00874-5openalex-snapshot
Exploring and mitigating potential bias when genetic instrumental variables are associated with multiple non-exposure traits in Mendelian randomization
inferred← citeshttps://doi.org/10.1101/589820openalex-snapshot
The causal effect of adiposity on hospital costs: Mendelian Randomization analysis of over 300,000 individuals from the UK Biobank
inferred← citeshttps://doi.org/10.1101/639864openalex-snapshot
Bayesian network analysis incorporating genetic anchors complements conventional Mendelian randomization approaches for exploratory analysis of causal relationships in complex data
inferred← citeshttps://doi.org/10.12688/wellcomeopenres.15555.1openalex-snapshot
Guidelines for performing Mendelian randomization investigations
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