George R. Saade

This paper introduces MR-CARV, a two-sample Mendelian randomization framework integrating common and rare variants to assess the causal effect of HDL-C on preeclampsia risk, showing improved statistical power and precision.

This study predicts preeclampsia using first trimester vaginal microbiome data with machine learning, achieving an auROC of 0.78 in the training set and 0.80 in an independent cohort.