Mendelian randomization with incomplete measurements on the exposure in the Hispanic Community Health Study/Study of Latinos

Summary: Mendelian randomization has been widely used to assess the causal effect of a heritable exposure variable on an outcome of interest, using genetic variants as instrumental variables. In practice, data on the exposure variable can be incomplete due to high cost of measurement and technical l...

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Bibliographic Details

Published in:	HGG Advances
Main Authors:	Yilun Li, Kin Yau Wong, Annie Green Howard, Penny Gordon-Larsen, Heather M. Highland, Mariaelisa Graff, Kari E. North, Carolina G. Downie, Christy L. Avery, Bing Yu, Kristin L. Young, Victoria L. Buchanan, Robert Kaplan, Lifang Hou, Brian Thomas Joyce, Qibin Qi, Tamar Sofer, Jee-Young Moon, Dan-Yu Lin
Format:	Article
Language:	English
Published:	Elsevier 2024-01-01
Subjects:	causal inference detection limits instrumental variables metabolomics missing data unmeasured confounding
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666247723000775