Additional file 1 of Do nuclear magnetic resonance (NMR)-based metabolomics improve the prediction of pregnancy-related disorders? Findings from a UK birth cohort with independent validation
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Additional file 1: Table S1. A list of the nuclear magnetic resonance (NMR)-derived metabolomic traits used in this study. Table S2. The retained predictors for the risk factor prediction models for all pregnancy-related disorders. Table S3. The retained predictors for the metabolomic prediction models for all pregnancy-related disorders. Table S4. The retained predictors for the combined risk factor and metabolomic prediction models for all pregnancy-related disorders. Table S5. The predictors that were retained in the combined risk factor and metabolite model for all pregnancy-related disorders. Table S6. The area under the curve and 95% confidence intervals for each prediction model for each pregnancy-related disorder. Table S7. A sensitivity analysis on the association between body mass index (BMI) and each pregnancy-related disorder in the UK Better Eating and Activity Trial (UPBEAT), the Born in Bradford study and the Born in Bradford study women who had a BMI ≥30 kg/m2. Table S8. The area under the curve and 95% confidence intervals for prediction models trained in one pregnancy-related disorder and tested for another pregnancy-related disorder. Table S9. The area under the curve and 95% confidence intervals for prediction models trained in Born in Bradford and validated at an earlier timepoint in the UK Pregnancies Better Eating and Activity Trial. Table S10. The correlation between metabolites measured in the UK Pregnancies Better Eating and Activity Trial at 15-18+6 weeks gestation and 27-28+8 weeks gestation.
创建时间:
2020-11-23



