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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 BowdenFabiola Del Greco MCosetta MinelliGeorge Davey SmithNuala A. SheehanJohn R. Thompson

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
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References
Funnel plots for detecting bias in meta-analysis
Journal of Clinical Epidemiology · 2001 · 3,689 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
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