The mediating roles of anthropo-metabolic biomarkers on the association between beverage consumption and breast cancer risk

Table 3 Two-sample Mendelian randomization estimates for the causal associations between beverage consumption and overall breast cancer

Exposure	SNP	F statistic	Methods	OR (95% CI)	P	Cochran’s Q statistic (I²)	MR-Egger Intercept (P)
Dairy-based milk	20	24.3	IVW	1.26 (0.75, 2.12)	0.38	14.54 (0.0%)	-0.002 (0.77)
			WM	1.06 (0.51, 2.20)	0.87
			MR-Egger	1.63 (0.28, 9.47)	0.60
			MR-PRESSO	-	-
Soy milk	27	23.2	IVW	0.98 (0.92, 1.05)	0.59	35.76 (27.3%)	-0.002 (0.81)
			WM	0.96 (0.88, 1.05)	0.39
			MR-Egger	1.01 (0.82, 1.24)	0.96
			MR-PRESSO	-	-
Sugar sweetened beverages	14	24.1	IVW	3.52 (1.06, 11.70)	0.04	85.10 (84.7%)	0.006 (0.75)
			WM	1.60 (0.81, 3.17)	0.18
			MR-Egger	1.99 (0.05, 80.07)	0.72
			MR-PRESSO^a	1.98 (1.48, 2.66)	< 0.001
Pure fruit juice	9	21.8	IVW	3.07 (0.38, 24.94)	0.29	83.49 (90.4%)	0.030 (0.31)
			WM	0.99 (0.41, 2.40)	0.98
			MR-Egger	0.24 (0.00, 36.10)	0.59
			MR-PRESSO^a	0.85 (0.51, 1.42)	0.55
Coffee	81	44.7	IVW	0.87 (0.67, 1.13)	0.29	301.33 (73.5%)	-0.004 (0.28)
			WM	0.92 (0.71, 1.20)	0.54
			MR-Egger	1.12 (0.66, 1.88)	0.68
			MR-PRESSO^a	0.84 (0.68, 1.04)	0.11
Tea	86	31.8	IVW	1.07 (0.88, 1.31)	0.50	172.71 (50.8%)	-0.003 (0.35)
			WM	1.02 (0.81, 1.28)	0.87
			MR-Egger	1.43 (0.76, 2.70)	0.27
			MR-PRESSO^a	0.92 (0.80, 1.06)	0.23
Alcoholic drinks	77	62.3	IVW	1.02 (0.88, 1.19)	0.79	262.73 (71.1%)	0.001 (0.69)
			WM	0.95 (0.83, 1.09)	0.50
			MR-Egger	0.98 (0.76, 1.26)	0.87
			MR-PRESSO^a	0.99 (0.89, 1.11)	0.91

Abbreviations: SNP, single nucleotide polymorphism; IVW, inverse-variance weighted; WM, weighted median method; MR-PRESSO, Mendelian randomization pleiotropy residual sum and outlier; OR, odds ratio; CI, confidence interval
^a2SNPs were identified as influential outliers when consumption of sugar sweetened beverages was exposure: rs2472297, rs55872725; 1 SNP was identified as influential outliers when consumption of pure fruit juice was exposure: rs9972653; 7 SNPs were identified as influential outliers when consumption of coffee was exposure: rs10865548, rs111994577, rs2231142, rs2472297, rs2521501, rs57918684, rs9937053; 4 SNPs were identified as influential outliers when consumption of tea was exposure: rs11715828, rs1481012, rs2074551, rs2271961; 4 SNPs were identified as influential outliers when consumption of alcoholic drinks was exposure: rs12030672, rs2959005, rs56094641, rs62244890

ISSN: 1475-2891