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Table 1 Effect sizes for the 18 genomic loci, percentage mammographic density, body mass index and clinical risk factors, used for risk prediction.

From: Breast cancer risk prediction and individualised screening based on common genetic variation and breast density measurement

dbSNP No Chromosome ORa Reference First author (Year) OR (95%CI)b P c
rs11249433 1 1.12 Turnbull (2010), Thomas (2009) 1.12 (1.00 to 1.25) 4.3 × 10-2
rs1045485 2 1.14 Turnbull (2010), Cox (2007) 1.08 (0.90 to 1.28) 4.1 × 10-1
rs13387042 2 1.15 Turnbull (2010), Thomas (2009), Stacy (2007) 1.21 (1.08 to 1.34) 6.0 × 10-4
rs4973768 3 1.11 Turnbull (2010), Ahmed (2009) 1.04 (0.94 to 1.16) 4.2 × 10-2
rs10941679 5 1.19 Turnbull (2010), Stacy (2007) 1.19 (1.06 to 1.34) 4.0 × 10-3
rs889312 5 1.14 Turnbull (2010), Easton (2007) 1.14 (1.01 to 1.28) 3.5 × 10-2
rs2046210 6 1.27 Turnbull (2010), Zeng (2009) 1.14 (1.01 to 1.27) 2.7 × 10-2
rs13281615 8 1.10 Turnbull (2010), Easton (2007) 1.19 (1.07 to 1.33) 1.6 × 10-3
rs1011970 9 1.09 Turnbull (2010) 1.04 (0.90 to 1.21) 5.5 × 10-1
rs2981582 10 1.26 Turnbull (2010), Easton (2007) 1.28 (1.15 to 1.43) 6.0 × 10-6
rs2380205 10 1.11 Turnbull (2010) 1.04 (0.93 to 1.16) 4.9 × 10-1
rs10995190 10 1.16 Turnbull (2010) 1.12 (0.98 to 1.30) 9.9 × 10-2
rs704010 10 1.07 Turnbull (2010) 1.07 (0.96 to 1.19) 2.5 × 10-1
rs3817198 11 1.07 Turnbull (2010), Thomas (2009), Easton (2007) 1.01 (0.90 to 1.14) 8.1 × 10-1
rs614367 11 1.15 Turnbull (2010) 1.36 (1.18 to 1.58) 8.3 × 10-4
rs999737 14 1.09 Turnbull (2010), Thomas (2009) 1.09 (0.96 to 1.25) 1.9 × 10-2
rs3803662 16 1.20 Turnbull (2010), Thomas (2009), Easton (2007), Stacy (2007) 1.27 (1.13 to 1.43) 1.0 × 10-4
rs6504950 17 1.05 Turnbull (2010), Ahmed (2009) 1.11 (0.98 to 1.25) 1.6 × 10-1
Percentage mammographic density    
0   1.00 Boyd (2006)   
< 10%   1.27    
10-25   2.00    
25-50   2.98    
50-75   3.70    
≥ 75   5.86    
BMI (body mass Index)     
< 21.79   1.00 Boyd (2006)   
21.79-23.30   1.16    
23.30-25.02   1.13    
25.02-27.64   1.28    
≥ 27.64   1.67    
Clinical factors    
Age at menarche 1.10 Gail (1989)   
Age at first live birth 1.24 Gail (1989)   
Benign breast disease 1.65 Estimated from Swedish Case-Control Data   
Family history 2.07 Estimated from Swedish Case-Control Data   
  1. a Published odds ratio (For SNPs with effect estimates from multiple sources, the inverse variance method was used to obtain a weighted average of effect estimate from the separate studies)
  2. b Per allele odds ratio (per copy of the high-risk allele in the Swedish case-control sample).
  3. c P-values for tests of association based on likelihood-ratio tests, in the current Swedish case-control study.