Table 5.

RHM analysis conditioned on adding the top SNPs from GWAS to the model sequentially

Scenario	${\mathbf{GRM}}_i$ (SE)	${\mathbf{GRM}}_c$ (SE)	Logl	LRT
No condition	0.030 (0.008)	0.16 (0.02)	− 10644	–
Cond. on S1	0.028 (0.008)	0.16 (0.02)	− 10643	2
Cond. on S1 + S2	0.026 (0.007)	0.16 (0.02)	− 10642	4
Cond. on S1 + S2 + S3	0.026 (0.007)	0.16 (0.02)	− 10644	0
Cond. on S1 + S2 + S3 + S4	0.023 (0.007)	0.16 (0.02)	− 10641	6
Cond. on S1 + S2 + S3 + S4 + S5	0.020 (0.006)	0.16 (0.02)	− 10637	14
Cond. on S1 + S2 + S3 + S4 + S5 + S6	0.019 (0.006)	0.16 (0.02)	− 10636	16

GRM_i and GRM_c as in Table 4

S1: rs421630816; S2: rs424521894; S3: rs425769499; S4: rs416517011; S5: rs404837788; S6: rs413573644

Logl: log likelihood

SE: standard error