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A Comprehensive Evaluation of Methods for Mendelian Randomization Using Realistic Simulations and an Analysis of 38 Biomarkers for Risk of Type-2 Diabetes

https://doi.org/10.1101/702787
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What this work says

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

inferredcites →https://doi.org/10.1002/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.22295openalex-snapshot
A comparison of robust Mendelian randomization methods using summary data
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/10.1007/s40471-017-0128-6openalex-snapshot
Recent Developments in Mendelian Randomization Studies
inferredcites →https://doi.org/10.1016/j.ajhg.2011.10.004openalex-snapshot
Abundant Pleiotropy in Human Complex Diseases and Traits
inferredcites →https://doi.org/10.1016/j.ajhg.2012.10.010openalex-snapshot
Improved Heritability Estimation from Genome-wide SNPs
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/10.1038/ng.3190openalex-snapshot
Efficient Bayesian mixed-model analysis increases association power in large cohorts
inferredcites →https://doi.org/10.1038/ng.3211openalex-snapshot
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
inferredcites →https://doi.org/10.1038/ng.3406openalex-snapshot
An atlas of genetic correlations across human diseases and traits
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/ng.3604openalex-snapshot
A plethora of pleiotropy across complex traits
inferredcites →https://doi.org/10.1038/ng.608openalex-snapshot
Common SNPs explain a large proportion of the heritability for human height
inferredcites →https://doi.org/10.1038/s41467-018-06805-xopenalex-snapshot
Large-scale genome-wide enrichment analyses identify new trait-associated genes and pathways across 31 human phenotypes
inferredcites →https://doi.org/10.1038/s41467-019-09432-2openalex-snapshot
Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
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/s41588-018-0101-4openalex-snapshot
Signatures of negative selection in the genetic architecture of human complex traits
inferredcites →https://doi.org/10.1038/s41588-018-0193-xopenalex-snapshot
Estimation of complex effect-size distributions using summary-level statistics from genome-wide association studies across 32 complex traits
inferredcites →https://doi.org/10.1038/s41588-018-0241-6openalex-snapshot
Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps
inferredcites →https://doi.org/10.1038/s41588-018-0279-5openalex-snapshot
SumHer better estimates the SNP heritability of complex traits from summary statistics
inferredcites →https://doi.org/10.1093/bioinformatics/bts474openalex-snapshot
Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood
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/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/10.1101/175372openalex-snapshot
Improving on a modal-based estimation method: model averaging for consistent and efficient estimation in Mendelian randomization when a plurality of candidate instruments are valid
inferredcites →https://doi.org/10.1101/566851openalex-snapshot
A robust and efficient method for Mendelian randomization with hundreds of genetic variants: unravelling mechanisms linking HDL-cholesterol and coronary heart disease
inferredcites →https://doi.org/10.1101/660506openalex-snapshot
Genetics of 38 blood and urine biomarkers in the UK Biobank
inferredcites →https://doi.org/10.1214/19-aos1866openalex-snapshot
Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score

What points at this work

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

inferred← citeshttps://doi.org/10.1002/sim.9109openalex-snapshot
Bayesian variable selection with a pleiotropic loss function in Mendelian randomization
inferred← citeshttps://doi.org/10.1101/856674openalex-snapshot
Kidney Function and Blood Pressure: A Bi-directional Mendelian Randomisation Study
inferred← citeshttps://doi.org/10.12688/wellcomeopenres.15555.1openalex-snapshot
Guidelines for performing Mendelian randomization investigations
inferred← citeshttps://doi.org/10.12688/wellcomeopenres.15555.2openalex-snapshot
Guidelines for performing Mendelian randomization investigations
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