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. Author manuscript; available in PMC: 2016 Oct 27.
Published in final edited form as: Epidemiology. 2015 Jan;26(1):51–58. doi: 10.1097/EDE.0000000000000195

Table 4.

Estimated genetic effect and AUC from 1,000 simulations for various models and study designs

Model simulated Cohort, no interaction Cohort, interaction case-control, no interaction case-control, interaction
Model testeda Est (SD) AUC (SD) Est (SD) AUC (SD) Est (SD) AUC (SD) Est (SD) AUC (SD)
G 0.127 (0.012) 0.591 (0.009) 0.121 (0.012) 0.588 (0.009) 0.129 (0.020) 0.592 (0.013) 0.124 (0.020) 0.589 (0.013)
G+A 0.127 (0.012) 0.609 (0.008) 0.121 (0.012) 0.604 (0.009) NA NA NA NA
G+A+I NA NA 0.164 (0.020) 0.601 (0.009) NA NA 0.171 (0.034) 0.576 (0.012)
Tert1 0.127 (0.025) 0.591 (0.017) 0.165 (0.024) 0.610 (0.016) 0.133 (0.043) 0.592 (0.027) 0.173 (0.039) 0.611 (0.025)
Tert2 0.126 (0.023) 0.591 (0.015) 0.125 (0.020) 0.592 (0.015) 0.130 (0.034) 0.592 (0.023) 0.133 (0.036) 0.594 (0.023)
Tert3 0.127 (0.020) 0.591 (0.013) 0.089 (0.014) 0.561 (0.014) 0.131 (0.029) 0.592 (0.019) 0.091 (0.014) 0.561 (0.020)

Abbreviation: Est, average of estimated genetic effect of the 15 SNPs.

a

For all models, estimates are derived in a first sample using a fix set of parameters, AUC are then derived in a second sample generated using the same set of parameters but using the estimates obtained from the first sample. In model G, only the SNP effects are estimated; in model G+ A, effect of the SNPs and age are estimated jointly; in model G +A +I, SNP, age and SNP by age interaction are estimated; in model Tertn, SNP effects are estimated within each age tertile.