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Table 4 Odds ratios (OR) for the association between per standard deviation decrease in gSOS and increased odds of incident fracture

From: Improved prediction of fracture risk leveraging a genome-wide polygenic risk score

 

OR (95% CI)*

p value

OR (95% CI), adjusted for RFs§

p value, adjusted for RFs

UK Biobank test dataset (N = 80,014)

 Major osteoporotic fracture

1.46 (1.38–1.55)

1.1 × 10−37

1.42 (1.34–1.51)

1.4 × 10−32

 Hip fracture

1.37 (1.19–1.57)

6.3 × 10−6

1.34 (1.16–1.53)

3.7 × 10−5

MrOS US (N = 4663)

 Major osteoporotic fracture

1.38 (1.26–1.51)

2.2 × 10−12

1.31 (1.17–1.45)

1.1 × 10−6

 Hip fracture

1.37 (1.21–1.56)

5.5 × 10−7

1.33 (1.15–1.55)

1.4 × 10−4

MrOS Sweden (N = 1880)

 Major osteoporotic fracture

1.45 (1.28–1.65)

5.3 × 10−9

1.38 (1.17–1.63)

1.3 × 10−4

 Hip fracture

1.31 (1.08–1.58)

5.0 × 10−3

1.35 (1.05–1.72)

1.8 × 10−2

SOF (N = 3615)

 Major osteoporotic fracture

1.35 (1.24–1.47)

1.0 × 10−11

1.34 (1.21–1.48)

7.3 × 10−9

 Hip fracture

1.31 (1.19–1.43)

1.4 × 10−8

1.32 (1.19–1.47)

4.1 × 10−7

CKB (N = 25,034)

 Major osteoporotic fracture

1.26 (1.13–1.41)

5.3 × 10−5

1.22 (1.09–1.36)

6.8 × 10−4

 Hip fracture

1.25 (0.98–1.60)

7.1 × 10−2

1.21 (0.94–1.54)

0.14

  1. *Derived from logistic regression models adjusted for age and sex
  2. §Derived from logistic regression models adjusted for age, sex and other available risk factors (RFs) listed in Table 1