Table 1.

Our method performs better than Fisher’s method when combining more than two p-values. Ten asthma related genes and five asthma unrelated gene were analyzed in this meta-TWAS. Adjusted p-values of Fisher’s method ($p_{\mathrm{F}}$), our method with equal weights ($p_{\mathrm{N}}$), and our method with unequal weights ($p_{\mathrm{N}}^w$) are provided. All the p-values were adjusted using Bonferroni’s correction for multiple testing. The numbers marked in bold indicate they are statistically significant.

	Gene name	Chromosome	$p_{\mathrm{F}}$	$p_{\mathrm{N}}^w$	$p_{\mathrm{N}}$
Asthma	HLA-G	Chr. 6	0.0000127	0.0244885	0.0012742
Related	ATP6V1G2	Chr. 6	0.0005959	0.0030811	0.0168662
Genes	HLA-DRB5	Chr. 6	0.0059697	0.0386449	0.0689027
	TAP1	Chr. 6	0.0003276	0.0025073	0.0118823
	TRIM10	Chr. 6	0.0000009	0.0002722	0.0000589
	HLA-DRB1	Chr. 6	0.0000018	0.0004108	0.0003191
	LST1	Chr. 6	0.0000009	0.0002963	0.0000931
	DDX39B	Chr. 6	0.0000008	0.0001398	0.0000000
	MSH5	Chr. 6	0.0005163	0.0009750	0.0154954
	HLA-A	Chr. 6	0.0016827	0.0046854	0.0318339
Asthma	PHIP	Chr. 6	0.0418319	0.0986147	0.2299088
Unrelated	EED	Chr. 11	0.0094608	0.0100037	0.0915084
Genes	PYGB	Chr. 20	0.0124950	0.0805022	0.1086624
	SMARCD2	Chr. 17	0.0131833	0.0153122	0.1123372
	BORCS8	Chr. 19	0.0233820	0.1422346	0.1601654