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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 Thompson, George Davey Smith
doi: https://doi.org/10.1101/159442
Jack Bowden
1MRC Integrative Epidemiology Unit at the University of Bristol, U.K
2Population Health Sciences, University of Bristol, U.K
Fabiola Del Greco M
3Institute for Biomedicine, Eurac Research, Bolzano, Italy
Cosetta Minelli
4Population Health and Occupational Disease, NHLI, Imperial College, London, U.K
Qingyuan Zhao
5Department of Statistics, The Wharton School, University of Pennsylvania, U.S.A.
Debbie A Lawlor
1MRC Integrative Epidemiology Unit at the University of Bristol, U.K
2Population Health Sciences, University of Bristol, U.K
Nuala A Sheehan
6Department of Health Sciences, University of Leicester, Leicester, U.K
John Thompson
6Department of Health Sciences, University of Leicester, Leicester, U.K
George Davey Smith
1MRC Integrative Epidemiology Unit at the University of Bristol, U.K
2Population Health Sciences, University of Bristol, U.K
Posted February 27, 2018.
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 Thompson, George Davey Smith
bioRxiv 159442; doi: https://doi.org/10.1101/159442
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