Table 4.

RHM analysis conditioned on adding significant regions to the model sequentially

Scenario	${\mathbf{GRM}}_i$ (SE)	${\mathbf{GRM}}_c$ (SE)	Logl	Logl null	LRT
R1	0.004 (0.002)	0.19 (0.02)	− 10667	− 10671	8
R1 + R2	0.006 (0.003)	0.18 (0.02)	− 10666	− 10672	12
R1 + R2 + R3	0.008 (0.003)	0.18 (0.02)	− 10664	− 10672	16
R1 + R2 + R3 + R4	0.015 (0.005)	0.17 (0.02)	− 10656	− 10674	36
R1 + R2 + R3 + R4 + R5	0.024 (0.007)	0.16 (0.02)	− 10649	− 10674	50
R1 + R2 + R3 + R4 + R5 + R6	0.030 (0.008)	0.16 (0.02)	− 10644	− 10675	62

R1: between 107 and 108 Mbp on OAR2; R2: between 110 and 113 Mbp on OAR2; R3: between 117 and 118 Mbp on OAR2; R4: between 34 and 39 Mbp on OAR6, R5: between 17 and 18 Mbp on OAR18; and R6: between 40 and 41 Mbp on OAR24

${\mathbf{GRM}}_i$: variance due to regions defined in each scenario and estimated with a GRM constructed from SNPs in these regions

${\mathbf{GRM}}_c$: is the complementary GRM containing all SNPs from the 600 k excluding the SNPs fitted in ${\mathbf{GRM}}_i$

Logl: log likelihood for the tested model which includes both ${\mathbf{GRM}}_i$ and ${\mathbf{GRM}}_c$

Logl null: log likelihood for the null model which includes only ${\mathbf{GRM}}_c$

SE: standard error