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Table 7 Treatment-specific prediction of the presence of nADA in the replication data

From: Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS

Preparation

Model

Cohort

OR

95% CI

p

AUC

R2

Sensitivity

Specificity

IFNβ-1a s.c.

Without genetics

KI

   

0.65

0.08

0.66

0.52

IFNβ-1a s.c.

Without genetics

TUM

   

0.60

0.06

0.71

0.42

IFNβ-1a s.c.

PRS nADA presence 5 × 10−08

KI

3.89

2.35–6.45

1.44 × 10−07

0.85

0.42

0.78

0.78

IFNβ-1a s.c.

PRS nADA presence 5 × 10−08

TUM

2.56

1.56–4.21

2.11 × 10−04

0.76

0.24

0.68

0.65

IFNβ-1a s.c.

PRS top 30% vs. bottom 30%

KI

73.86

11.77–463.61

4.42 × 10−06

0.91

0.59

0.78

0.90

IFNβ-1a s.c.

PRS top 30% vs. bottom 30%

TUM

13.78

3.00–63.28

7.45 × 10−04

0.83

0.38

0.80

0.76

IFNβ-1a s.c.

SNP rs77278603 additive coding

KI

4.49

2.41–8.36

2.14 × 10−06

0.82

0.36

0.74

0.74

IFNβ-1a s.c.

SNP rs77278603 additive coding

TUM

3.88

1.78–8.47

6.67 × 10−04

0.73

0.21

0.63

0.74

IFNβ-1a s.c.

SNP rs77278603-A dominant coding

KI

9.16

2.48–33.79

8.79 × 10−04

0.78

0.31

0.57

0.76

IFNβ-1a s.c.

SNP rs77278603-A dominant coding

TUM

3.85

1.10–13.49

3.51 × 10−02

0.72

0.20

0.56

0.68

IFNβ-1b s.c.

Without genetics

KI

   

0.70

0.15

0.48

0.82

IFNβ-1b s.c.

Without genetics

TUM

   

0.58

0.02

0.82

0.20

IFNβ-1b s.c.

PRS nADA presence 1 × 10−06

KI

2.40

1.45–3.97

6.46 × 10−04

0.78

0.33

0.57

0.85

IFNβ-1b s.c.

PRS nADA presence 1 × 10−06

TUM

2.15

1.43–3.23

2.28 × 10−04

0.73

0.22

0.73

0.58

IFNβ-1b s.c.

PRS top 30% vs. bottom 30%

KI

10.16

2.30–44.95

2.25 × 10−03

0.83

0.46

0.58

0.87

IFNβ-1b s.c.

PRS top 30% vs. bottom 30%

TUM

5.97

2.03–17.52

1.14 × 10−03

0.78

0.33

0.69

0.75

IFNβ-1b s.c.

SNP rs28366299 additive coding

KI

4.51

1.72–11.80

2.14 × 10−03

0.77

0.31

0.57

0.82

IFNβ-1b s.c.

SNP rs28366299 additive coding

TUM

6.91

3.18–15.03

1.07 × 10−06

0.79

0.32

0.74

0.61

IFNβ-1b s.c.

SNP rs28366299-A dominant coding

KI

9.78

2.68–35.74

5.62 × 10−04

0.83

0.40

0.62

0.83

IFNβ-1b s.c.

SNP rs28366299-A dominant coding

TUM

7.56

3.01–19.02

1.71 × 10−05

0.80

0.33

0.77

0.57

  1. Predictors in the model without genetics: sex, age, treatment duration, and titration site. The genetic models contained the same base model plus the indicated genetic factors and ancestry components. The top models are indicated in bold font. OR odds ratio; CI 95% confidence interval; p p value of the genetic component; AUC area under the receiver operating characteristic curve; R2 Nagelkerke's pseudo-R2; KI Karolinska Institutet, Sweden; TUM Technical University of Munich, Germany