Prospective study of circulating metabolomic profiles and breast cancer incidence among predominantly premenopausal women

Table 3 Odds ratios and 95% confidence intervals for associations of WGCNA metabolites (n = 381) module scores with breast cancer incidence overall (corresponding to 1 SD increase in score levels), Nurses’ Health Study II (1996–2012).

Modules	Leading class	# of metabolites	Variation explained %	OR (95% CI)^a	P-value	FDR
M1	NA	17	20.2	1.02 (0.91–1.13)	0.76	0.85
M2	TAG < 3 DBs	83	42.0	0.97 (0.87–1.08)	0.54	0.85
M3	Organic acids, PE plasmalogens, PC plasmalogens	73	14.4	0.93 (0.84–1.04)	0.19	0.85
M4	Carnitines, NA	69	11.2	0.98 (0.87–1.10)	0.72	0.85
M5	TAG ≥ 3 DBs, amino acids, NA	37	24.7	0.95 (0.85–1.06)	0.32	0.85
M6	TAG ≥ 3 DBs, PC	30	27.1	1.00 (0.90–1.12)	0.94	0.94
M7	Organic acids and derivatives	27	10.3	1.03 (0.92–1.15)	0.63	0.85
M8	LPC, LPE	24	30.2	1.04 (0.94–1.15)	0.45	0.85
M9	PC, SM	21	37.9	0.97 (0.86–1.08)	0.54	0.85

TAG triglyceride, PE Phosphatidylethanolamine, PC Phosphatidylcholine, LPC Phosphatidylcholine, LPE Phosphatidylethanolamine, SM Sphingomyelins, DBs double bounds, NA not applicable.
^aModel is based on conditional logistic regression model accounting for matching factors and with further adjustment for BMI at age 18, weight change (from age 18 to time of first blood draw), age at menarche, parity and age at first birth, breastfeeding history, family history of breast cancer in a first degree relative, personal history of benign breast disease, physical activity, alcohol intake (by quintile), and oral contraceptive use at blood collection.