Additional file 4 of Assessing the impact of maternal blood pressure during pregnancy on perinatal health: a wide-angled Mendelian randomization study

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Authors: Fernanda Morales Berstein, Ana Goncalves-Soares, Qian Yang, Nancy McBride, Tom A. Bond, Marwa Al Arab, Alba Fernández‐Sanlés, Maria C. Magnus, Eleanor C. M. Sanderson, Emma Hart, Abigail Fraser, Katherine Birchenall
+3 more Debbie A. Lawlor, Gemma Clayton, Maria Carolina Borges
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Abstract

Additional file 4. Supplementary Figures S1–S18. Fig. S1–Correlation plots for SBP/DBP instrumental variables and maternal blood pressure during pregnancy (i.e. first, second and third trimesters and across gestation), GH, preeclampsia and HDP. Fig. S2–Regression plots for SBP/DBP instrumental variables and maternal blood pressure during pregnancy (i.e. first, second and third trimesters and across gestation), GH, preeclampsia and HDP. Fig. S3–Study-specific and pooled Mendelian randomization estimates for the genetically predicted effects of maternal blood pressure on the primary outcomes. Fig. S4–Inverse-variance weighted Mendelian randomization estimates for genetically predicted effects of maternal blood pressure on the secondary (binary) outcomes. Fig. S5–Inverse-variance weighted Mendelian randomization estimates for genetically predicted effects of maternal blood pressure on the secondary (continuous) outcomes. Fig. S6–Study-specific and pooled Mendelian randomization estimates for the genetically predicted effects of maternal blood pressure on the secondary (binary) outcomes. Fig. S7–Study-specific and pooled Mendelian randomization estimates for the genetically predicted effects of maternal blood pressure on the secondary (continuous) outcomes. Fig. S8–Mendelian randomization estimates for genetically predicted effects of maternal blood pressure on positive control outcomes. Fig. S9–Mendelian randomization estimates for genetically predicted effects of maternal blood pressure on the secondary (binary) outcomes across different methods. Fig. S10–Mendelian randomization estimates for genetically predicted effects of maternal blood pressure on the secondary (continuous) outcomes across different methods. Fig. S11–Mendelian randomization estimates for genetically predicted effects of maternal blood pressure on determinants of perinatal health. Fig. S12–Univariable (“Inverse variance weighted”) and multivariable (“MVMR”) Mendelian randomization estimates for genetically predicted effects of maternal blood pressure on secondary (binary) outcomes. Fig. S13–Univariable and multivariable Mendelian randomization estimates for genetically predicted effects of maternal blood pressure on secondary (continuous) perinatal outcomes. Fig. S14–Mendelian randomization estimates for genetically predicted effects of maternal blood pressure on the secondary (binary) outcomes, adjusting for offspring genotype. Fig. S15–Mendelian randomization estimates for genetically predicted effects of maternal blood pressure on the secondary (continuous) outcomes, adjusting for offspring genotype. Fig. S16–Mendelian randomization estimates for genetically predicted effects of maternal blood pressure on the primary outcomes in overlapping (Keaton et al.) and non-overlapping samples (Ehret et al.). Fig. S17–Mendelian randomization estimates for genetically predicted effects of maternal blood pressure on the secondary (binary) outcomes in overlapping (Keaton et al.) and non-overlapping samples (Ehret et al.). Fig. S18–Mendelian randomization estimates for genetically predicted effects of maternal blood pressure on the secondary (continuous) outcomes in overlapping (Keaton et al.) and non-overlapping samples (Ehret et al.)

Fields of Study & Subjects

Pregnancy and preeclampsia studies Genetic Associations and Epidemiology Birth Development and Health

Publication details

Journal / source
Figshare
Publication date
1 January 2026