A
- Adaptive Lasso
- Adjustment of the NO Measurement Error (NOME) assumption
- AER software package
- Allele
- allele score - see: Polygenic risk score (PRS)
- ambiguous SNP - see: Palindromic single nucleotide polymorphism (SNP)
- Assortative mating
B
- Bayes MR
- Bayesian implementation of the MR-Egger Estimator (BMRE)
- Bayesian model averaging for IVW and MR-Egger
- Bayesian multi-instrument Mendelian randomization (MIMR)
- Bayesian network analysis
- Bidirectional MR
C
- Canalization
- Candidate gene study
- Causal Analysis Using Summary Effect estimates (MR-CAUSE)
- Chromosome
- Cis- and trans-variants
- Cochran's Q statistic
- Collider
- Collider bias
- Colocalization - see: Genetic colocalization
- Conditional F-statistic for multiple exposures
- Confounding
- constrained IVs
- Contamination mixture models
- Copy number variation
D
E
- Exclusion restriction assumption
- Exclusion restriction criterion - see: Exclusion restriction assumption
F
- F-statistic
- Factorial MR
- first MR assumption - see: Relevance assumption
- fourth MR assumption - see: Monotonicity assumption
G
- Gametic phase disequilibrium - see: Linkage disequilibrium (LD)
- Gene
- Gene-Environment (G×E) interaction study
- Generalized Method of Moments (GMM) estimator
- Generalized Summary MR (GSMR)
- Genetic colocalization
- Genetic Instrumental Variable (GIV)
- Genetic risk score - see: Polygenic risk score (PRS)
- genetic score - see: Polygenic risk score (PRS)
- Genetic variant
- Genome-wide association studies (GWASs)
- Genome-wide mR Analysis under Pervasive PLEiotropy (MR-GRAPPLE)
- Genome-wide significance
- Genotype
- GSMR
H
- Haplotype
- Harmonization (in two-sample MR)
- HEterogeneity In Dependent Instruments (HEIDI)
- Heterozygous or Heterozygote
- Hierarchical joint Analysis of Marginal summary statistics (hJAM)
- Homogeneity Assumption
- Homozygous or Homozygote
- Horizontal Pleiotropy
I
- Imputation of genetic variants in GWASs
- Independence assumption
- instrument - see: Instrumental variable (IV)
- INstrument Strength Independent of Direct Effect (InSIDE) assumption
- Instrumental variable (IV)
- Interaction MR - see: Gene-Environment (G×E) interaction study
- Intergenerational (or dynastic) effects
- Inverse variance weighted (IVW) fixed effects estimate
- Inverse variance weighted (IVW) random effects model
- Iterative Mendelian Randomization and Pleiotropy (IMRP)
- IV1 assumption - see: Relevance assumption
- IV2 assumption - see: Independence assumption
- IV3 assumption - see: Exclusion restriction assumption
- IV4 assumption - see: Monotonicity assumption
- ivmodel
- ivonesamplemr
- ivreg2
- ivregress
- ivtools
L
- LD Hub
- Leave-one-out analysis
- Limited Information Maximum Likelihood (LIML) method
- Linkage disequilibrium (LD)
- Linkage disequilibrium (LD) score regression
- Locus
M
- Maximum likelihood-based MR
- Median-based estimate
- Mendelian randomisation (MR) - see: Mendelian randomization (MR)
- Mendelian randomization (MR)
- Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO)
- MendelianRandomization
- Mixture of Experts (MR-MoE)
- Mode-based estimate
- Monotonicity assumption
- MR accounting for Correlated and Idiosyncratic Pleiotropy (MRCIP)
- MR accounting for Linkage Disequilibrium and Pleiotropy (MR-LDP)
- MR for drug targets
- MR for gene-environment interactions (MR-GxE)
- MR for testing critical or sensitive periods
- MR for testing developmental origins
- MR Lasso
- MR Mixture (MRMix)
- MR using a Robust Adjusted Profile Score (MR-RAPS)
- MR using G-Estimation under No Interaction with Unmeasured Selection (MR-GENIUS)
- MR using Robust regression (MR Robust)
- MR with a time-to-event outcome
- MR with binary exposures
- MR with penalized weights
- MR with regularization
- MR-Base and TwoSampleMR
- MR-Clust
- MR-Egger regression and extensions
- MR-Link
- MR-Path
- MR-TRYX
- mrAR
- mrrobust
- Multivariable MR
- Multivariable MR (MVMR) and extensions
N
- No effect modification assumption
- NO Measurement Error (NOME) assumption
- Non-linear MR
- Non-overlapping samples (in two-sample MR)
- Non-parametric methods with bounds of causal effect
O
P
- Palindromic single nucleotide polymorphism (SNP)
- PhenoScanner
- PhenoSpD
- PHESANT
- Pleiotropy
- Pleiotropy-robust MR (PRMR)
- Polygenic risk score (PRS)
- Polygenic risk score approach
- polygenic score - see: Polygenic risk score (PRS)
- Polymorphism
- Population stratification
R
- R-squared
- Radial MR
- RadialMR
- Rare variants
- Ratio estimate - see: Wald ratio estimate
- Regression dilution bias (attenuation by errors)
- Relevance assumption
- Replication
- Reverse causality
- risk score - see: Polygenic risk score (PRS)
- Rucker framework
S
- Same underlying population (in two-sample MR)
- Sample size and power calculators
- second MR assumption - see: Independence assumption
- Single nucleotide polymorphism (SNP)
- Some Invalid Some Valid Instrumental Variable Estimation (SISVIVE)
- Statistical power and efficiency
- Steiger filtering
- Strengthening the Reporting of Observational Studies in Epidemiology using Mendelian Randomization (STROBE-MR)
- Structural Mean Models (SMMs)
- Summary MR (SMR)
T
- third MR assumption - see: Exclusion restriction assumption
- Three-sample MR
- TReasure Your eXceptions (MR-TRYX)
- Triangulation
- Two-sample MR or MR with summary-level data
- Two-stage hard thresholding (TSHT) with voting
- Two-stage least squares (TSLS)
- Two-stage least squares (TSLS) with binary outcomes
- Two-stage predictor substitution estimators
- Two-stage residual inclusion estimators
- Two-step or Mediation MR