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MR-TRYX: A Mendelian randomization framework that exploits horizontal pleiotropy to infer novel causal pathways
View ORCID ProfileYoonsu Cho, Philip C Haycock, Eleanor Sanderson, Tom R Gaunt, Jie Zheng, Andrew P Morris, George Davey Smith, Gibran Hemani
doi: https://doi.org/10.1101/476085
Yoonsu Cho
1MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
Philip C Haycock
1MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
Eleanor Sanderson
1MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
Tom R Gaunt
1MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
Jie Zheng
1MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
Andrew P Morris
2Department of Biostatistics, University of Liverpool, Liverpool, UK
George Davey Smith
1MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
Gibran Hemani
1MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Posted September 03, 2019.
MR-TRYX: A Mendelian randomization framework that exploits horizontal pleiotropy to infer novel causal pathways
Yoonsu Cho, Philip C Haycock, Eleanor Sanderson, Tom R Gaunt, Jie Zheng, Andrew P Morris, George Davey Smith, Gibran Hemani
bioRxiv 476085; doi: https://doi.org/10.1101/476085
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