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Table 3 Type 1 error and power of data sets of simulation 3

From: Principal-component-based multivariate regression for genetic association studies of metabolic syndrome components

Effect (b)

PCBMR

Single-Trait Association

 

GEN

ADD

DOM

REC

GEN

ADD

DOM

REC

0

4.7

5

5.6

3.9

5.0(3.2)

5.3(2.7)

5.7(3.3)

4.2(2.4)

0.5

7.6

8.8

7.5

6.4

7.4(4.1)

8.4(4.7)

7.1(4.6)

6.1(3.3)

1

18.1

22.4

22

11.2

17.8(11.2)

22.4(16.2)

21.2(14.1)

11.2(7.2)

1.5

35.3

45.2

40.1

20.3

35.8(24.8)

45.8(34.3)

40.2(28.4)

20.2(13.8)

2

60.4

70.1

66

29.2

60.2(50.3)

70.2(59.8)

66.5(54.9)

28.9(22.0)

2.5

79.2

87.4

82.5

40.8

79.1(70.1)

86.8(79.0)

82.2(75.1)

40.2(30.2)

3

91.2

95.9

93.4

50.6

91.1(85.5)

95.8(91.7)

93.3(88.6)

50.7(40.4)

3.5

97.2

99.3

97.6

62

97.6(94.9)

99.4(98.0)

97.8(96.0)

62.5(50.6)

4

99.6

99.7

99.5

75.4

99.4(98.9)

99.7(99.5)

99.5(99.0)

75.9(63.9)

  1. (See Table 1; Based on equation 3, the percentages of trait correlation contributed by tested QTL are 0%, 0.4%, 1.5%, 3.3%, 5.7%, 8.7%, 12.0%, 15.7% and 19.5% corresponding to b = 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4)