Skip to main content

Table 1 Characteristics of the simulated datasets.

From: Hierarchical Naive Bayes for genetic association studies

   

LD thr.: r2≥ .0.60

 

LD thr.: r2 ≥ 0.80

sim

GRR

B

SNPs/B

r2

B

SNPs/B

r2

1

1.5/3.0

43

5.0 [6.50]

0.94 [0.13]

63

3 [5.50]

0.97 [0.06]

2

1.5/3.0

36

6.5 [11.50]

0.95 [0.08]

55

4 [6.00]

0.98 [0.05]

3

1.5/3.0

58

3.5 [5.00]

0.97 [0.07]

76

3 [3.00]

0.98 [0.06]

4

2.0/4.0

24

8.5 [29.50]

0.97 [0.07]

67

4 [4.00]

0.98 [0.06]

5

2.0/4.0

34

4.5 [14.00]

0.95 [0.17]

61

3 [6.00]

0.98 [0.09]

6

2.0/4.0

39

5.0 [6.50]

0.97 [0.19]

70

4 [3.75]

0.99 [0.05]

7

3.0/6.0

22

9.0 [28.25]

0.96 [0.07]

49

5 [6.00]

0.98 [0.07]

8

3.0/6.0

45

5.0 [10.00]

0.98 [0.10]

80

3 [3.00]

0.98 [0.06]

9

3.0/6.0

34

8.5 [14.50]

0.93 [0.11]

72

3 [4.00]

0.96 [0.09]

  1. GRR, heterozygote/homozygote Genotype Relative Risk (GRR); B, number of blocks; SNPs/B, median number [Interquartile Range (IQR)] of SNPs within each block; r2, median [Interquartile Range (IQR)] pairwise r2 within each block. The described parameters are reported for blocks defined using thresholds of LD corresponding to r2 ≥ 0.6 and 0.8 respectively.