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Table 1 Power and L-Powera as a function of the SNP density per M, window size in cM, window posterior probability of association (WPPA) and method (BayesC and BayesD)

From: Application of a Bayesian dominance model improves power in quantitative trait genome-wide association analysis

SNP density (k/M)

WS

WPPA

BayesC

BayesD

Power

L-powera

Power

L-powera

0.5

0.25

0.85

0.261 (0.129)

0.441 (0.199)

0.282 (0.132)

0.475 (0.205)

  

0.95

0.201 (0.107)

0.347 (0.169)

0.217 (0.110)

0.362 (0.154)

  

0.99

0.144 (0.102)

0.249 (0.166)

0.175 (0.101)

0.300 (0.170)

 

0.5

0.85

0.267 (0.138)

0.445 (0.193)

0.280 (0.120)

0.480 (0.205)

  

0.95

0.205 (0.107)

0.349 (0.174)

0.230 (0.103)

0.388 (0.158)

  

0.99

0.151 (0.094)

0.260 (0.151)

0.192 (0.099)

0.336 (0.182)

 

1

0.85

0.279 (0.142)

0.467 (0.204)

0.298 (0.135)

0.500 (0.193)

  

0.95

0.214 (0.114)

0.352 (0.156)

0.241 (0.102)

0.410 (0.161)

  

0.99

0.167 (0.092)

0.285 (0.146)

0.199 (0.095)

0.343 (0.165)

1

0.25

0.85

0.265 (0.119)

0.452 (0.184)

0.290 (0.112)

0.500 (0.186)

  

0.95

0.210 (0.114)

0.365 (0.194)

0.241 (0.101)

0.415 (0.173)

  

0.99

0.193 (0.112)

0.337 (0.196)

0.180 (0.091)

0.315 (0.157)

 

0.5

0.85

0.291 (0.121)

0.495 (0.190)

0.321 (0.123)

0.551 (0.204)

  

0.95

0.228 (0.116)

0.394 (0.199)

0.265 (0.108)

0.454 (0.180)

  

0.99

0.192 (0.106)

0.334 (0.174)

0.198 (0.088)

0.344 (0.151)

 

1

0.85

0.316 (0.128)

0.538 (0.208)

0.341 (0.139)

0.580 (0.213)

  

0.95

0.259 (0.116)

0.438 (0.171)

0.291 (0.125)

0.497 (0.204)

  

0.99

0.216 (0.119)

0.369 (0.183)

0.227 (0.096)

0.388 (0.145)

2

0.25

0.85

0.285 (0.126)

0.481 (0.176)

0.299 (0.126)

0.501 (0.169)

  

0.95

0.247 (0.115)

0.423 (0.172)

0.245 (0.107)

0.419 (0.155)

  

0.99

0.216 (0.109)

0.367 (0.159)

0.214 (0.106)

0.325 (0.169)

 

0.5

0.85

0.332 (0.118)

0.561 (0.169)

0.343 (0.129)

0.571 (0.168)

  

0.95

0.276 (0.118)

0.469 (0.182)

0.284 (0.115)

0.476 (0.152)

  

0.99

0.234 (0.119)

0.395 (0.172)

0.221 (0.114)

0.376 (0.176)

 

1

0.85

0.348 (0.130)

0.586 (0.181)

0.371 (0.141)

0.618 (0.182)

  

0.95

0.312 (0.132)

0.522 (0.179)

0.318 (0.117)

0.532 (0.147)

  

0.99

0.245 (0.123)

0.406 (0.178)

0.248 (0.121)

0.420 (0.172)

7

0.25

0.85

0.307 (0.120)

0.518 (0.185)

0.301 (0.093)

0.505 (0.164)

  

0.95

0.273 (0.097)

0.467 (0.156)

0.263 (0.092)

0.449 (0.166)

  

0.99

0.259 (0.090)

0.435 (0.146)

0.256 (0.075)

0.393 (0.146)

 

0.5

0.85

0.356 (0.107)

0.602 (0.172)

0.369 (0.099)

0.615 (0.168)

  

0.95

0.309 (0.102)

0.518 (0.161)

0.312 (0.093)

0.531 (0.142)

  

0.99

0.270 (0.089)

0.459 (0.165)

0.273 (0.089)

0.460 (0.135)

 

1

0.85

0.378 (0.118)

0.636 (0.152)

0.394 (0.106)

0.657 (0.137)

  

0.95

0.329 (0.116)

0.551 (0.156)

0.339 (0.103)

0.567 (0.152)

  

0.99

0.281 (0.109)

0.465 (0.151)

0.279 (0.095)

0.472 (0.155)

  1. Standard deviations are in parenthesis
  2. aL-Power denotes the power to detect a causal gene that explains more than 2.5% of the simulated genetic variance
  3. WS window size