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. Author manuscript; available in PMC: 2015 Jun 8.
Published in final edited form as: Genet Epidemiol. 2015 Mar 4;39(4):227–238. doi: 10.1002/gepi.21892

Table 2. Power Comparison when Causal Variants Can Have Opposite Effects.

MAF Cutoff Causal Percentage Group by MAF Cutoff Group Only Causal Variants

Burden Madsen-Browning VT SKAT Burden Madsen-Browning VT SKAT
0.01 20% 4.6 0.4 6.0 36.7 38.9 21.1 43.4 83.2
80% 30.5 10.4 33.4 60.0 42.6 18.8 42.2 69.0

0.05 20% 11.7 1.3 15.0 35.7 55.4 22.3 58.3 88.3
80% 44.0 7.8 47.1 74.7 55.1 12.2 54.3 81.6

Simulated samples each had 5,000 individuals, organized in families with pedigree10 structure (See Figure 1). Causal variants were selected among those identified in simulated 1,000 base-pair sequences and explained 1% of trait variance. Among causal variants, 20% were randomly selected to be trait-decreasing, and the rest causal variants were trait-increasing. Power is tabulated as a percentage of simulations exceeding significance threshold. Significance level α = 2.5 × 10-6 was used in all simulations.