The use of the Gail model, body mass index and SNPs to predict breast cancer among women with abnormal (BI-RADS 4) mammograms

Table 3 Logistic regression, odds of cancer among women with BIRADS 4 mammograms, by race ^a

	White ( N = 277)				Black ( N = 145)
	Age-adjusted		Multivariate ^b		Age-adjusted		Multivariate ^b
	OR (95% CI)	P -value	OR (95% CI)	P -value	OR (95% CI)	P -value	OR (95% CI)	P -value
SNP panel RR, log continuous scale	2.43 (0.99 to 5.98)	0.053	1.97 (0.76 to 5.10)	0.161	4.50 (0.87 to 23.2)	0.073	4.21 (0.79 to 22.6)	0.093
SNP panel RR, categories
<1.00	1.00 (reference)				1.00 (reference)
1.01 to 1.49	1.34 (0.64 to 2.82)	0.437			1.56 (0.90 to 8.18)	0.599
≥1.50	1.84 (0.83 to 4.11)	0.135			1.77 (0.33 to 9.52)	0.505

^aBI-RADS, Breast Imaging-Reporting and Data System; BMI, Body mass index; CI, Confidence interval; OR, Odds ratio; RR, Relative risk; SNP, Single-nucleotide polymorphism. ^bMultivariate model includes BMI, age, race/ethnicity, age at menarche, age of first birth, family history of breast cancer, breast biopsy, atypical hyperplasia.

ISSN: 1465-542X