. Author manuscript; available in PMC: 2014 Aug 22.

Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2010 May;19(5):1341–1348. doi: 10.1158/1055-9965.EPI-09-1019

Table 2.

Observed relationship between milk consumption in controls and variation at rs4988235 in Eastern European populations.

		Non-persistent CC		Persistent CT+TT		p_unadj	OR_adj	P_adj
		N	%	N	%	p_unadj	OR_adj	P_adj
Romania	Ever	93	97.9	75	97.4	0.8	0.75 (0.10, 5.97)	0.8
Romania	Never	2	2.1	2	2.6	0.8	0.75 (0.10, 5.97)	0.8
Poland	Ever	75	70.1	113	83.1	0.02	2.58 (1.31, 5.11)	0.006
Poland	Never	32	29.9	23	16.9	0.02	2.58 (1.31, 5.11)	0.006
Russia	Ever	231	78.0	445	89.9	<0.0001	2.50 (1.60, 3.88)	<0.0001
Russia	Never	65	22.0	50	10.1	<0.0001	2.50 (1.60, 3.88)	<0.0001
Czech Rep.	Ever	244	75.3	396	85.7	0.0002	2.38 (1.55, 3.63)	<0.0001
Czech Rep.	Never	80	24.7	66	14.3	0.0002	2.38 (1.55, 3.63)	<0.0001

All countries	Meta-analysis (n=1992)						2.39 (1.81, 3.15)	6.9e-10
All countries
Heterogeneity			I²=0%			P_het=0.7

Numbers and proportion of controls by genotype and milk drinking category. P_unadj represents an unadjusted chi-square test, whilst OR_adj and p_adj represent a logistic regression analysis for the odds of being in the persistence group by milk drinking status adjusted for age, sex, education, smoking and drinking.