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Table 3 The MLEs of population and quantitative genetic parameters and the standard errors of the estimates obtained by the new model and the power to detect sex-specific differences under different simulation designs. Parameter estimates by a conventional model are also given.

From: A computational model for sex-specific genetic architecture of complex traits in humans: Implications for mapping pain sensitivity

  

Sex

  

Simulation Design

Genetic Parameter

Male

Female

Power

Traditional Model

1

p

0.5025 ± 0.0360

0.7829 ± 0.0265

0.95

0.6433 ± 0.0224

 

q

0.5964 ± 0.0349

0.8732 ± 0.0193

0.95

0.7347 ± 0.0201

 

D

0.0961 ± 0.0194

0.0181 ± 0.0099

0.80

0.0779 ± 0.0120

 

a

0.6055 ± 0.2008

0.3045 ± 0.1277

0.24

0.4789 ± 0.1192

 

d

0.3061 ± 0.3371

0.6093 ± 0.1798

0.19

0.5843 ± 0.1875

2

p

0.5013 ± 0.0172

0.7980 ± 0.0141

1.00

0.6496 ± 0.0111

 

q

0.6011 ± 0.0177

0.8958 ± 0.0101

1.00

0.7484 ± 0.0100

 

D

0.0986 ± 0.0098

0.0084 ± 0.0053

1.00

0.0775 ± 0.0061

 

a

0.6050 ± 0.1114

0.3056 ± 0.0728

0.67

0.4907 ± 0.0616

 

d

0.2980 ± 0.1604

0.5986 ± 0.0933

0.42

0.5715 ± 0.0966

3

p

0.5008 ± 0.0366

0.7835 ± 0.0269

1.00

0.6421 ± 0.0221

 

q

0.5945 ± 0.0338

0.8731 ± 0.0195

1.00

0.7338 ± 0.0194

 

D

0.0965 ± 0.0178

0.0161 ± 0.0088

0.86

0.0747 ± 0.0115

 

a

0.5989 ± 0.0924

0.3012 ± 0.0505

0.85

0.4582 ± 0.0483

 

d

0.2934 ± 0.1352

0.6021 ± 0.0652

0.64

0.5355 ± 0.0715

4

p

0.5014 ± 0.0181

0.7974 ± 0.0136

1.00

0.6494 ± 0.0113

 

q

0.6000 ± 0.0171

0.8968 ± 0.0102

1.00

0.7484 ± 0.0099

 

D

0.1001 ± 0.0092

0.0077 ± 0.0048

1.00

0.0745 ± 0.0058

 

a

0.6003 ± 0.0439

0.3010 ± 0.0301

1.00

0.4684 ± 0.0251

 

d

0.3008 ± 0.0659

0.6006 ± 0.0372

0.99

0.5499 ± 0.0360