Table 3. Results of the CHAMBER Algorithm for the Detection of High-Dimensional Combinations: Estrogen Metabolism Genes in a Population-Based Case-Control Study of Breast and Endometrial Cancer.

Groupa	Exposed Cases	Exposed Controls	Unexp. Cases	Unexp. Controls	N	OR	P-value	COMT	CYP1A1	CYP1A2	CYP1B1	CYP3A4	SULT1A1	SULT1E1	UGT1A1
AA a Breast Cancer	11	4	146	365	526	6.88	0.0005				AG				*1*28
	49	71	106	294	520	1.91	0.0022		AA		AA				*1*1
	41	59	118	312	530	1.84	0.0062							GG	*1*1
	57	95	112	292	556	1.56	0.0173								*1*1
	15	17	128	333	493	2.30	0.0206			CC			AG
	58	108	115	308	589	1.44	0.0403	GG	AA					GG
	28	46	131	349	554	1.62	0.0441			AC		GG		GG
	19	29	108	296	452	1.80	0.0471	GG		AA			GG
EA b Breast Cancer	53	39	344	482	918	1.90	0.0025			AA			GG		*1*28
	51	38	530	740	1359	1.87	0.0030		AG
	78	73	399	589	1139	1.58	0.0060	GA			AG
	41	34	463	662	1200	1.72	0.0153			AC				AG
	99	105	378	557	1139	1.39	0.0207	GG			AA
	115	122	313	435	985	1.31	0.0419			AA			GG
AA Endo-metrial Cancer	13	56	22	221	312	2.33	0.0237		AA		AA			AG
EA Endo-metrial Cancer	43	58	388	960	1449	1.83	0.0031		AG
	394	918	21	92	1425	1.88	0.0055					AA
	113	210	269	681	1273	1.36	0.0149			AC	AA
	35	45	285	621	986	1.69	0.0182	AA			AA		GG
	43	67	297	687	1094	1.48	0.0371	GG							*1*28

^aAA = African American.

^bEA = European American.