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Table 2 Power of the different methods depending on the number of components in the ‘High LD Simulations’ (dilution effect)

From: Wavelet Screening: a novel approach to analyzing GWAS data

Size

Model

Method

Significance

1

2

3

4

5

6–10

11–15

16–20

> 20

1000

MD

WS

\(1\times 10^{-5}\)

0.9

1.1

0.7

0.9

0.6

0.8

0.6

0.9

0.9

1000

RD

WS

\(1\times 10^{-5}\)

1.2

0.9

0.2

0.7

0.8

0.5

0.6

0.4

0.8

1000

NA

SKAT

\(1\times 10^{-5}\)

0.0

0.0

0.0

0.0

0.0

0.1

1.4

4.6

19.8

1000

NA

GWAS

\(5\times 10^{-8}\)

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

5000

MD

WS

\(1\times 10^{-5}\)

17.3

18.3

19.1

20.6

24.0

20.9

19.4

19.3

20.2

5000

RD

WS

\(1\times 10^{-5}\)

7.3

10.5

8.8

7.1

9.4

8.5

9.2

8.0

9.3

5000

NA

SKAT

\(1\times 10^{-5}\)

0.0

0.2

1.4

3.0

5.9

26.7

69.5

95.4

99.9

5000

NA

GWAS

\(5\times 10^{-8}\)

45.5

25.8

16

3.1

2.7

2.8

1.1

0.6

0.4

10,000

MD

WS

\(1\times 10^{-5}\)

54.8

70.9.

86.8

90.1

92.2

95.4

93.6

94.1

96.5

10,000

RD

WS

\(1\times 10^{-5}\)

57.3

49.8

54.6

53.8

56.1

54.4

50.7

50.6

52.1

1000

NA

SKAT

\(1\times 10^{-5}\)

0.0

1.1

6.5

15.6

24.9

64.5

96.5

100.0

100.00

10,000

NA

GWAS

\(5\times 10^{-8}\)

100

81.8

75.0

68.8

30.6

28.1

15.5

9.6

3.2

  1. MD, mono-directional model; RD, random directional model; NA, not applicable