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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