Table 5.

Best fitting models of the bivariate SEM analysis

Probe ID	Trait 1	Trait 2	Best Model	rg †	re †	Standardized rg ‡	Standardized re ‡
ILMN_2413508	CD97	SBP	a21≠0	0.39(0.18,0.59)	--	1.00	--
ILMN_2413508	CD97	DBP	a21≠0	0.34(0.12,0.56)	--	1.00	--
ILMN_1656920	CRIP1	SBP	a21≠0 | e21≠0 *	0.22(−0.26,0.98)	0.06(−0.11,0.23)	0.77	0.23
ILMN_1656920	CRIP1	DBP	a21≠0 | e21≠0 *	0.28(0.00,0.54)	0.05(−0.11,0.22)	0.80	0.20
ILMN_1671766	F12	SBP	a21≠0 | e21≠0 *	0.015(−0.09,0.40)	0.07(−0.10,0.24)	0.69	0.31
ILMN_1696749	LMNA	SBP	e21≠0	--	0.24(0.09, 0.37)	--	1.00
ILMN_1696749	LMNA	DBP	e21≠0	--	0.28(0.14,0.41)	--	1.00
ILMN_1745282	MOK	SBP	a21≠0 & e21≠0	0.27(0.01,0.49)	0.26(0.09,0.41)	0.52	0.48
ILMN_2046730	S100A10	DBP	a21≠0 | e21≠0 *	0.14(−0.20,0.45)	0.07(−0.10,0.24)	0.56	0.44
ILMN_1758938	SLC31A2	SBP	e21≠0	--	0.27(0.14,0.39)	--	1.00
ILMN_1758938	SLC31A2	DBP	e21≠0	--	0.17(0.03,0.30)	--	1.00
ILMN_1676408	TAGAP	SBP	a21≠0 | e21≠0 *	0.08(−1.00,1.00)	0.17(−0.01,0.33)	0.36	0.64
ILMN_2090105	TAGLN2	SBP	e21≠0	--	0.29(0.15,0.41)	--	1.00
ILMN_1765578	TIPARP	SBP	a21≠0	0.46(0.20,0.67)	--	1.00	--
ILMN_1765578	TIPARP	DBP	a21≠0	0.40(0.18,0.66)	--	1.00	--
ILMN_1797744	TPPP3	SBP	a21≠0	0.41(0.18,0.65)	--	1.00	--
ILMN_1797744	TPPP3	DBP	a21≠0	0.45(0.21,0.69)	--	1.00	--
ILMN_2276952	TSC22D3	SBP	e21≠0	--	0.22(0.09,0.34)	--	1.00
ILMN_2276952	TSC22D3	DBP	e21≠0	--	0.21(0.08,0.33)	--	1.00

^*a21 and e21 cannot be set to 0 at the same time

^†rg is genetic correlation.( ${\mathrm{r}}_{\mathrm{g}}={\mathrm{a}}_{11}\ast {\mathrm{a}}_{21}/\sqrt{a_{11}^2\ast (a_{11}^2+a_{22}^2)}$) -- indicates that it can be set to 0 in the best fitting model.

^†re is nonshared-environmental correlation.( ${\mathrm{r}}_{\mathrm{g}}={\mathrm{e}}_{11}\ast {\mathrm{e}}_{21}/\sqrt{e_{11}^2\ast (e_{11}^2+e_{22}^2)}$)--indicates that it can be set to 0 in the best fitting model.

^‡Standardized rg = a11*a21/rp, standardized re = e11*e21/rp, where rp= a11*a21 + c11*c21 + e11*e21