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[Preprint]. 2024 Oct 29:2024.10.28.24316286. [Version 1] doi: 10.1101/2024.10.28.24316286

Figure 1.

Figure 1

Schematic representation depicting multiple imputation and weighted analyses to jointly address missing data and selection bias. Y represents the outcome (e.g., glucose), X represents the exposure (e.g., body mass index) and covariates could include age, sex, race/ethnicity, and smoking status. The empty boxes represent missing data. YPRS and XPRS are the polygenic risk scores (PRS) corresponding to the outcome and exposure, respectively.