article Open AccessTop 1% cited
Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic
International Journal of Epidemiology · 2016 · Vol. 45(6) · pp. dyw220–dyw220
Jack Bowden✉(MRC Biostatistics Unit)Fabiola Del Greco M(Institute for Biomedicine)Cosetta Minelli(Imperial College London)George Davey Smith(University of Bristol)Nuala A. Sheehan(University of Leicester)John R. Thompson(University of Leicester)
Abstract
: Care must be taken to assess the NOME assumption via the IGX2 statistic before implementing standard MR-Egger regression in the two-sample summary data context. If IGX2 is sufficiently low (less than 90%), inferences from the method should be interpreted with caution and adjustment methods considered.
Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and AnimalsMendelian randomizationRegressionStatisticStatisticsEconometricsMathematicsGeneticsBiologyGenetic variants
MeSH terms
Data Interpretation, StatisticalHumansRegression AnalysisGenetic VariationBiasGenetic Predisposition to DiseasePolymorphism, Single NucleotideMendelian Randomization Analysis
Funding
- University of Bristol
- Medical Research Council
Citations
1,697
FWCI
57.34
field-weighted impact
References
25
Percentile
100%
vs. same field & year
Citations per year
Cited by
MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data
International Journal of Epidemiology · 2017 · 2,224 citations
A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization
Statistics in Medicine · 2017 · 1,983 citations
Evaluating the potential role of pleiotropy in Mendelian randomization studies
Human Molecular Genetics · 2018 · 1,633 citations
Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: A multivariable Mendelian randomisation analysis
PLoS Medicine · 2020 · 910 citations
Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption
International Journal of Epidemiology · 2018 · 1,004 citations
Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases
Nature Genetics · 2018 · 8,904 citations
Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria
PLoS Genetics · 2018 · 669 citations
The MR-Base platform supports systematic causal inference across the human phenome
eLife · 2018 · 8,152 citations
References
Funnel plots for detecting bias in meta-analysis
Journal of Clinical Epidemiology · 2001 · 3,689 citations
Mendelian randomization: genetic anchors for causal inference in epidemiological studies
Human Molecular Genetics · 2014 · 4,933 citations
‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?*
International Journal of Epidemiology · 2003 · 6,297 citations
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
International Journal of Epidemiology · 2015 · 10,342 citations
Calculating statistical power in Mendelian randomization studies
International Journal of Epidemiology · 2012 · 1,895 citations
Measuring inconsistency in meta-analyses
BMJ · 2003 · 61,700 citations
Avoiding bias from weak instruments in Mendelian randomization studies
International Journal of Epidemiology · 2011 · 4,042 citations
Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators
American Journal of Epidemiology · 2013 · 1,464 citations
Related articles
Re: “Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects”
American Journal of Epidemiology · 2015 · 1,009 citations
Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects
American Journal of Epidemiology · 2015 · 1,715 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
