Additional file 1 of Identifying and ranking causal biochemical biomarkers for breast cancer: a Mendelian randomisation study
Creators: name: Tang, Sonja N.
name: Zuber, Verena
name: Tsilidis, Konstantinos K.
Publisher: name: figshare
Year: 2022
Subjects: subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer

description: Additional file 1: Supplementary Tables. Table S1. In the literature, the risk and odds of overall breast cancer per unit increase in biomarker level. Summary table of the most recent and largest studies on the relationship between each UKB biomarker and overall breast cancer. A unit is defined differently in each study. Results in bold font are significant. A dash (-) indicates that no study could be identified in the literature. BC, total breast cancer; PHR, pooled hazards ratio; PRR, pooled risk ratio; POR, pooled odds ratio, SRR, summary risk ratio; preM, pre-menopause; postM, post-menopause; IVW MR, inverse-variance weighted Mendelian randomisation. Table S2. Results from bidirectional MR analyses of the effects of genetically predicted overall breast cancer liability on genetically predicted alkaline phosphatase levels. Int. P-value; intercept P-value of MR-Egger. Table S3. Ranking of individual biomarkers according to their MIP with a PP of inclusion of 0.25 for overall breast cancer. MR-BMA ranking of the seven biomarkers nominally significantly associated with overall breast cancer in IVW MR and with consistent effect directions in the sensitivity analyses. Table S4. An MR-BMA ranking of individual biomarkers according to their marginal inclusion probability with a prior probability of inclusion of 0.75 for overall breast cancer. A ranking of the seven biomarkers nominally significantly associated with overall breast cancer in IVW MR and with consistent effect directions in the sensitivity analyses. Table S5. An MR-BMA ranking of the top 20 models according to their posterior probability with a prior probability of inclusion of 0.5 for overall breast cancer liability. Models consist of different combinations of the seven biomarkers nominally significantly associated with overall breast cancer in IVW MR and with consistent effect directions in the sensitivity analyses. Table S6. An MR-BMA ranking of the top 20 models according to their posterior probability with a prior probability of inclusion of 0.25 for overall breast cancer liability. Models consist of different combinations of the seven biomarkers nominally significantly associated with overall breast cancer in IVW MR and with consistent effect directions in the sensitivity analyses. Table S7. An MR-BMA ranking of the top 20 models according to their posterior probability with a prior probability of inclusion of 0.75 for overall breast cancer liability. Models consist of different combinations of the seven biomarkers nominally significantly associated with overall breast cancer in IVW MR and with consistent effect directions in the sensitivity analyses. Table S8. Results from bidirectional MR analyses of the effects of genetically predicted ER-positive breast cancer liability on genetically predicted alkaline phosphatase levels. Int. P-value; intercept P-value of MR-Egger. Table S9. Results from bidirectional MR analyses of the effects of genetically predicted ER-negative breast cancer liability on genetically predicted alkaline phosphatase levels. Int. P-value; intercept P-value of MR-Egger.