Table 2.

Results of ROC curve and logistic regression analyses, and estimated odds ratios for cirrhosis between the lowest (Q1) and highest (Q5) quintiles of scores.

		ROC Curve	Logistic regression		Q1-Q5 Odds Ratio (95% CIs)
		AUC	Beta	p-value
3-SNP scorei	GenomALC-1	0.665 ± 0.014	1.092 ± 0.099	2.90 × 10−28	5.99 (4.18 to 8.60)
	GenomALC-2	0.606 ± 0.014	0.669 ± 0.090	1.44 × 10−13	2.81 (2.03 to 3.89)
	UK Biobank	0.619 ± 0.014	0.729 ± 0.080	1.06 × 10−19	3.10 (2.32 to 4.14)
3 SNP scorei + BMI, coffee	GenomALC-1	Not estimatediii	Not estimatediii		Not estimatediii
	GenomALC-2	Not estimatediii	Not estimatediv		Not estimatediv
	UK Biobank	0.636 ± 0.015	0.748 ± 0.073	1.77 × 10−24	3.37 (2.38 to 4.78)
Comparisons based on coefficients from meta-analysis:
3-SNP-M scoreii	GenomALC-2	0.631 ± 0.014	0.909 ± 0.103	1.17 × 10−18	3.65 (2.59 to 5.15)
5-SNP-M scoreii	GenomALC-2	0.626 ± 0.014	0.813 ± 0.096	2.96 × 10−17	3.66 (2.62 to 5.12)
8-SNP-M scoreii	GenomALC-2	0.633 ± 0.014	0.807 ± 0.091	6.06 × 10−19	3.37 (2.43 to 4.66)

ⁱCoefficients estimated from Buch et al¹⁷ and Abul-Husn et al¹⁸

ⁱⁱCoefficients estimated from meta-analysis data Schwantes-An et al²⁰

ⁱⁱⁱNot estimated because coefficients would be partly based on data for this cohort.

^ivNot estimated because BMI and coffee data are not available for this cohort.