. 2023 Aug 25;14:5196. doi: 10.1038/s41467-023-40913-7

Table 3.

Benchmarking MonsterLM additive genetic variance (heritability, $h_{G}^{2}$ ) and GxE (GxE, ${R^{2}}_{{G x E}_{W H R}}$ )

Trait	MonsterLM $h_{G}^{2}$ ( $σ$ )	mtg2 $h_{G}^{2}$ ( $σ$ )	LDSC $h_{G}^{2}$ ( $σ$ )	Bolt $h_{G}^{2}$ ( $σ$ )	GRE $h_{G}^{2}$ ( $σ$ )	MonsterLM ${R^{2}}_{{G x E}_{W H R}}$ ( $σ$ )	mtg2 ${R^{2}}_{{G x E}_{W H R}}$ ( $σ$ )	LDSC ${R^{2}}_{{G x E}_{W H R}}$ ( $σ$ )
Apolipoprotein A	0.281 (0.0046)	0.220 (0.0061)	0.217 (0.0320)	0.240 (0.0025)	0.295 (0.005)	0.024 (0.0043)	0.005 (0.0027)	0.003 (0.0021)
Apolipoprotein B	0.219 (0.0045)	0.194 (0.0069)	0.129 (0.0246)	0.232 (0.0023)	0.274 (0.005)	0.024 (0.0043)	0.004 (0.0030)	0.010 (0.0020)
Cholesterol	0.179 (0.0045)	0.157 (0.0065)	0.122 (0.0181)	0.160 (0.0022)	0.198 (0.005)	0.018 (0.0042)	0.010 (0.0032)	0.014 (0.0023)
CRP	0.238 (0.0046)	0.0706 (0.0060)	0.056 (0.0079)	0.228 (0.0023)	0.283 (0.005)	0.071 (0.0044)	0.001 (0.0031)	0.003 (0.0020)
Glucose	0.105 (0.0047)	0.0447 (0.0053)	0.045 (0.0044)	0.0903 (0.0019)	0.116 (0.0049)	0.005 (0.0046)	0.210 (0.0052)	0.009 (0.0041)
HbA1c	0.289 (0.0047)	0.129 (0.006)	0.113 (0.0072)	0.246 (0.0024)	0.284 (0.0051)	0.009 (0.0044)	0.139 (0.0045)	0.018 (0.0041)
HDL-Cholesterol	0.313 (0.0044)	0.232 (0.0057)	0.246 (0.0329)	0.279 (0.0024)	0.326 (0.0052)	0.038 (0.0041)	0.006 (0.0024)	0.007 (0.0021)
LDL-Cholesterol	0.173 (0.0045)	0.153 (0.0066)	0.115 (0.0226)	0.157 (0.0022)	0.195 (0.0050)	0.019 (0.0043)	0.007 (0.0031)	0.014 (0.0023)
Triglycerides	0.205 (0.0042)	0.187 (0.0060)	0.163 (0.0189)	0.229 (0.0023)	0.264 (0.0051)	0.068 (0.0041)	0.021 (0.0029)	0.018 (0.0041)
Height	0.683 (0.0045)	0.316 (0.0062)	0.447 (0.0202)	0.548 (0.0022)	0.497 (0.0054)	0.001 (0.0039)	−0.019 (0.0020)	0.001 (0.0020)
Total bilirubin	0.399 (0.0046)	0.431 (0.0077)	0.087 (0.0348)	0.369 (0.0023)	1.346 (NA)	0.001 (0.0043)	0.000 (0.0028)	0.000 (0.0017)

MonsterLM Benchmarking. MonsterLM is compared to other heritability models. Presented are both additive genetic variance and GxE_WHR estimates with calculated standard deviations for the outcomes used in this study. The same genotypic and phenotypic individual-level data (N = 325,989) is used except for mtg2 which was calculated on a smaller subset of N = 75,000.