Table 1. Genomic inflation factors $\left(\lambda \right)$ under the null hypothesis of no interaction for six interaction tests with normally distributed and highly correlated exposures.

		Independent G-E			Dependent G-E
			SNP (N)			SNP (N)
		10	100	300	10	100	300
Linear regression
Rare SNPa	Omnibus	1.01	1.02	0.92	0.99	0.97	1.03
	MultiE-uGRS	0.99	0.96	0.98	1.05	1.02	1.01
	MultiE-wGRS	0.96	0.96	0.96	0.93	0.94	0.95
	MultiSNP-ERS	1.00	1.00	1.01	1.03	1.00	1.02
	uGRS-ERS	1.01	1.01	1.02	1.01	0.99	1.02
	wGRS-ERS	0.96	0.98	0.99	1.00	0.98	1.04
Common SNPb	Omnibus	0.99	0.99	0.99	1.03	1.02	1.02
	MultiE-uGRS	0.99	0.98	1.05	1.01	0.99	1.05
	MultiE-wGRS	1.01	0.98	1.02	0.98	1.00	1.01
	MultiSNP-ERS	1.01	1.05	1.00	0.99	1.00	0.99
	uGRS-ERS	0.97	1.01	1.00	1.01	1.01	1.01
	wGRS-ERS	0.99	1.01	0.99	1.02	0.98	0.98
Logistic regression
Rare SNPa	Omnibus	1.09	1.60	3.49c	1.13	1.65	3.63c
	MultiE-uGRS	1.02	1.01	1.04	1.00	1.02	1.05
	MultiE-wGRS	1.02	1.00	0.98	0.94	0.93	0.98
	MultiSNP-ERS	1.05	1.20	1.58	1.05	1.17	1.57
	uGRS-ERS	0.99	1.00	0.98	1.01	0.98	1.01
	wGRS-ERS	1.03	0.98	0.99	1.02	0.96	1.01
Common SNPb	Omnibus	1.03	1.32	2.74c	1.02	1.31	2.81c
	MultiE-uGRS	0.98	1.01	0.98	0.98	1.05	0.96
	MultiE-wGRS	0.99	0.99	0.99	0.96	1.00	1.02
	MultiSNP-ERS	0.86	1.04	1.40	0.98	1.07	1.41
	uGRS-ERS	0.98	1.04	0.99	1.01	0.97	0.98
	wGRS-ERS	0.99	1.01.	1.01	0.96	0.98	1.06

^aRare SNP: RAF = [0.1–1% or 99–99.9%].

^bCommon SNP: RAF = [1–99%].

^c5000 replicates.