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Table 1 Power based on analysis of genes at chromosome 3 in simulated datasets.

From: Gene analysis for longitudinal family data using random-effects models

Gene

Number of variants

% Variance of largest functional variant

Power of eb1

Power of s2

Power of combined3

PDCD6I

466

0.00040

0.0

7.0

2.5

DNASE1L3

115

0.00014

2.0

4.5

1.5

PTPLB

493

0.00002

3.5

8.5

5.5

PAK2

409

0.00005

3.5

0.6

4.0

FBLN2

687

0.00008

0.5

3.0

0.5

FLNB

956

0.00085

11.0

5.0

7.0

VPS8

1042

0.00008

3.0

12.0

5.0

RYBP

347

0.00041

6.0

21.0

15.5

ZBTB38

590

0.00031

51.0

4.0

34.5

GPR160 2

44

0.00020

3.0

19.5

12.0

SERP1

18

0.00002

0.0

5.0

1.5

SUMF1

747

0.00010

2.0

1.0

1.0

NMNAT3

559

0.00011

5.0

5.5

6.5

ARF4

161

0.00004

1.5

3.5

2.0

MAP4

894

0.01222

99.0

30.5

97.0

MLH1

310

0.00007

2.5

2.0

1.5

ARHGEF3

2223

0.00007

2.0

5.0

3.0

PPP2R3A

1081

0.00025

0.5

1.0

1.0

MUC13

203

0.00007

5.0

0.5

3.0

RAD18

693

0.00003

3.0

3.5

3.5

SEMA3F

134

0.00004

12.0

7.5

6.5

BTD

291

0.00011

1.0

2.5

1.0

ABTB1

48

0.00053

3.5

1.1

6.5

B4GALT4

217

0.00004

2.0

4.5

3.0

  1. The values represent the percentages of significant results at 5% level. Imputed data sets were used.
  2. 1 Empirical Bayes estimate H01 = 0.
  3. 2 Number of rare variants H02 = 0.
  4. 3 H01 = 0 and γ2 = 0.