50 papers found
Association of menopausal characteristics and risk of coronary heart disease: a pan-European case–cohort analysis
Erratum to: Interpreting findings from Mendelian randomization using the MR-Egger method
MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data
Mendelian Randomization Implicates High-Density Lipoprotein Cholesterol–Associated Mechanisms in Etiology of Age-Related Macular Degeneration
Associations of triglyceride levels with longevity and frailty: A Mendelian randomization analysis
Investigating causality in associations between smoking initiation and schizophrenia using Mendelian randomization
Association between low-density lipoprotein cholesterol-lowering genetic variants and risk of type 2 diabetes: a meta-analysis
Response to Hartwig and Davies.
BMI as a Modifiable Risk Factor for Type 2 Diabetes: Refining and Understanding Causal Estimates Using Mendelian Randomization
Body mass index as a modifiable risk factor for type 2 diabetes: Refining and understanding causal estimates using Mendelian randomisation.
Serum gamma-glutamyl transferase and risk of type 2 diabetes in the general Korean population: a Mendelian randomization study.
PhenoScanner: a database of human genotype-phenotype associations.
Investigating causality in the association between 25(OH)D and schizophrenia
Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator
Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies
Sensitivity analyses for robust causal inference from Mendelian randomization analyses with multiple genetic variants
Predicting the Direction of Causal Effect Based on an Instrumental Variable Analysis: A Cautionary Tale
Natriuretic peptides and integrated risk assessment for cardiovascular disease: an individual-participant-data meta-analysis
Plasma urate and coronary heart disease: fingerprint match, but no smoking gun
Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension
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