Table 3. Marker-specific linkage analyses for epigenetic age acceleration and body weight trajectory.

	Linear regression*
Predictor	Outcome	Estimate	Standard error	t ratio	p
Eaa11DA0014408.4[DD]Chr11, 92.750 Mb(133 BB cases, and 173 DD cases)	EAA, pan	0.096	0.023	4.184	3.8E-05
	EAA, liver	0.067	0.017	3.880	0.0001
	dev.EAA, pan	0.077	0.025	3.041	0.003
	dev.EAA, liver	0.037	0.020	1.878	0.06
	int.EAA, pan	0.153	0.029	5.278	2.5E-07
	int.EAA, liver	–0.033	0.025	–1.284	0.20
Eaa19rs48062674[DD]Chr19, 38.650 Mb(238 BB cases, and 67 DD cases)	EAA, pan	–0.083	0.028	–2.954	0.003
	EAA, liver	–0.137	0.020	–6.972	2.0E-11
	dev.EAA, pan	–0.206	0.029	–7.218	4.3E-12
	dev.EAA, liver	–0.124	0.023	–5.461	9.9E-08
	int.EAA, pan	–0.143	0.035	–4.028	7.1E-05
	int.EAA, liver	–0.250	0.027	–9.238	4.6E-18
	Mixed model for longitudinal change in body weight †
Predictor	Outcome	Estimate	Standard error	t ratio	p
Eaa11DA0014408.4[DD]Number of observations = 6885; Number of individuals = 2112	Body weight	0.619	0.345	1.794	0.07
Eaa19rs48062674[DD]Number of observations = 6132; Number of individuals = 1852	Body weight	–1.847	0.374	–4.945	7.6E-07

int, interventional; dev, developmental; EAA, epigenetic age acceleration.

^*Regression model: lm(EAA ~ genotype + diet).

^†lmer(weight ~age + diet + genotype + (1|mouseID)).