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Fig. 2 | Genes & Nutrition

Fig. 2

From: Mendelian randomization analysis of vitamin D in the secondary prevention of hypertensive-diabetic subjects: role of facilitating blood pressure control

Fig. 2

Per-allele estimates for hazards ratio (HR) of clinical endpoints driven by genetic vitamin D exposure in hypertensive-diabetic subjects. A Per-allele prediction estimates of candidate/constituent vitamin D genetic variants, or their combinations for combined cardiovascular (CV) endpoints are as follows: rs2060793: (HR = 0.98 [95%CI 0.86 to 1.12], P = 0.75); rs1993116: (HR = 0.98 [95%CI 0.86 to 1.11], P = 0.75); rs2282679: (HR = 0.83 [95%CI 0.73 to 0.95], P = 0.005); rs4588: (HR = 0.83 [95%CI 0.73 to 0.94], P = 0.004); rs1155563: (HR = 0.89 [95%CI 0.79 to 1.01], P = 0.070); rs7041: (HR = 0.82 [95%CI 0.72 to 0.94], P = 0.003); rs4588+rs7041: (HR = 0.87 [95%CI 0.81 to 0.94], P = 0.001); rs2060793+rs7041: (HR = 0.90 [95%CI 0.82 to 0.98], P = 0.020); rs2060793+rs4588: (HR= 0.90 [95%CI 0.82 to 0.99], P=0.024); rs2060793+rs4588+rs7041: (HR = 0.90 [95%CI 0.84 to 0.96], P = 0.002). The estimates were derived from multivariable Cox-proportional hazards model with adjustment for potential confounders as illustrated in Supplementary Table 1 (Multivariable Model 1).B Per-allele prediction estimates of candidate/constituent vitamin D genetic variants, or their combinations for incident myocardial infarction are as follows: rs2060793: (HR = 0.89 [95%CI 0.69 to 1.15], P = 0.38); rs1993116: (HR = 0.89 [95%CI 0.69 to 1.15], P = 0.36); rs2282679: (HR = 0.80 [95%CI 0.63 to 1.02], P = 0.07); rs4588: (HR = 0.82 [95%CI 0.64 to 1.04], P = 0.10); rs1155563: (HR = 0.90 [95%CI 0.71 to 1.14], P = 0.40); rs7041: (HR = 0.66 [95%CI 0.50 to 0.87], P = 0.003); rs4588+rs7041: (HR = 0.81 [95%CI 0.70 to 0.94], P = 0.005); rs2060793+rs7041: (HR = 0.77 [95%CI 0.64 to 0.92], P = 0.005); rs2060793+rs4588: (HR = 0.85 [95%CI 0.72 to 1.02], P = 0.08); rs2060793+rs4588+rs7041: (HR = 0.83 [95%CI 0.73 to 0.94], P = 0.004). The estimates were derived from multivariable Cox-proportional hazards model with adjustment for potential confounders (including age, diabetes mellitus, body-mass index, use of lipid-lowering drugs and creatinine), similar to multivariable model 1 illustrated in Supplementary Table 1

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