Results: 3

1.
Figure 1

Figure 1. Increase in explained variance in systolic blood pressure by genetic risk scores. From: Genome-wide profiling of blood pressure in adults and children.

Bars represent the increase in explained variance (%) of systolic blood pressure, when adding the genetic risk scores for different p-value thresholds, to the base line model for systolic blood pressure including BMI, sex and age as covariates. The baseline model explained 12.8% and 5.2 % of the variance in systolic blood pressure for adults and children respectively. We evaluated the difference in explained variance between two subsequent models by calculating the Akaike Information Criterion (AIC) of each model. The difference in AIC follows a χ2 distribution with one degree of freedom, from which the P-value was derived.
* p < 0.05
** p < 0.001
1a. Rotterdam Study III
1b. Generation R Study

Hendrik R. Taal, et al. Hypertension. ;59(2):241-247.
2.
Figure 2

Figure 2. Increase in explained variance in diastolic blood pressure by genetic risk scores. From: Genome-wide profiling of blood pressure in adults and children.

Bars represent the increase in explained variance (%) of diastolic blood pressure, when adding the genetic risk scores for different p-value thresholds, to the base line model for diastolic blood pressure including BMI, sex and age as covariates. The baseline model explained 8.4% and 1.4 % of the variance in diastolic blood pressure for adults and children respectively. We evaluated the difference in explained variance between two subsequent models by calculating the Akaike Information Criterion (AIC) of each model. The difference in AIC follows a χ2 distribution with one degree of freedom, from which the P-value was derived.
* p < 0.05
** p < 0.001
2a. Rotterdam Study III
2b. Generation R Study

Hendrik R. Taal, et al. Hypertension. ;59(2):241-247.
3.
Figure 3

Figure 3. Increase in explained variance in hypertension by genetic risk scores. From: Genome-wide profiling of blood pressure in adults and children.

Bars represent the increase in explained variance (%) of hypertension in adults (SBP>140, DBP>90 or the use of anti hypertensive medication), when adding systolic and diastolic genetic risk scores for different p-value thresholds, to the base line model for systolic blood pressure including BMI, sex and age as covariates. The baseline model explained 15.9% of the variance in hypertension in adults. We evaluated the difference in explained variance between two subsequent models by calculating the Akaike Information Criterion (AIC) of each model. The difference in AIC follows a χ2 distribution with one degree of freedom, from which the P-value was derived.
* p < 0.05
** p < 0.001
3a. Systolic blood pressure scores
3b. Diastolic blood pressure scores

Hendrik R. Taal, et al. Hypertension. ;59(2):241-247.

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