Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption

Jack Bowden, Fabiola Del Greco M, Cosetta Minelli, Qingyuan Zhao, Debbie A. Lawlor, Nuala A. Sheehan, John R. Thompson, George Davey Smith

International Journal of Epidemiology · 2018

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Summary

We propose the use of modified weights within two-sample summary-data MR studies for accurately quantifying heterogeneity and detecting outliers in the presence of weak instruments. Modified weights also have an important role to play in terms of causal estimation (in tandem with first-order weights) but further research is required to understand their strengths and weaknesses in specific settings.

Source type
Peer-reviewed study
DOI
10.1093/ije/dyy258
Catalogue ID
BFmoef2ocf-xpk8tx
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