Table 3.

Characteristics of single nucleotide polymorphisms (SNPs) associated with premedication systolic and diastolic blood pressure with and without education in the model.

					Without education			With education
SNP	Trait	Location	Gene	MAF	Effect	Standard	p-value	Effect	Standard	p-value
					estimate	error		estimate	error
rs4593967	SBP	Intron	ARHGAP22	0.14	–2.51	0.46	1.45 × 10-7	–2.53	0.48	1.16 × 10-7
rs10921895	SBP	Intergenic		0.37	–1.52	0.37	5.31 × 10-6	–1.55	0.36	3.92 × 10-6
rs3804485	SBP	Intron	LY86	0.41	1.48	0.32	7.11 × 10-6	1.51	0.33	5.20 × 10-6
rs950928	DBP	Intron	IQCK	0.36	–1.04	0.24	3.13 × 10-6	–1.10	0.22	4.53 × 10-7
rs8056711	DBP	Intron	IQCK	0.36	–1.04	0.24	3.13 × 10-6	–1.10	0.22	4.53 × 10-7

In the both sets of linear regression models, median premedication systolic blood pressure (SBP) and median premedication diastolic blood pressure (DBP) were the outcomes. Additionally, both sets of linear regression models included age, age squared, sex, median body mass index (BMI), smoking status, and median percent global African ancestry as covariates. The first set of models did not include education level. The second set of models included education. The addition of education to the model did not change which SNPs were most associated with SBP or DBP. Bolded p-values are considered statistically significant after Bonferroni correction.