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. 2015 Oct 28;24(5):767–773. doi: 10.1038/ejhg.2015.194

Table 1. Overview of combined test rationale and performance.

Test Tests combined Rationale Average correlationa Observed strengths Observed weaknesses Overall performanceb
CT1 L(1), L(2), L(3), L(∞) Assess robustness against non-causal variants and tradeoff with number of tests combined 0.53 Minimal Poor performance with risk-reducing variants Poor (Min(p): 38.6%) (Fisher's: 47.2%)
CT2 J(1), J(2), J(3), J(∞) Assess robustness against non-causal variants and tradeoff with number of tests combined 0.87 Handles risk-reducing variants Redundant Good (Min(p): 8.9%) (Fisher's: 7.9%)
CT3 CMC, L(1) Assess impact of combining highly correlated tests 0.92 Minimal Poor performance with risk-reducing variants; redundant Poor (Min(p): 42.7%) (Fisher's: 42.2%)
CT4 SKAT, J(2) Assess impact of combining highly correlated tests 0.99 Handles risk-reducing variants Redundant Good (Min(p): 7.4%) (Fisher's: 7.4%)
CT5 SKAT, CMC Assess a ‘standard' combination of tests 0.46 Fairly robust Lacks robustness to high proportion of non-causal variants Good (Min(p): 7.5%) (Fisher's: 8.1%)
CT6 L(1), L(2), L(3), L(∞), J(1), J(2), J(3), J(∞) Assess robustness against non-causal variants and tradeoff with number of tests combined 0.54 Fairly robust Some poorly performing tests (eg, length tests) make Fisher's perform suboptimally Good (Min(p): 5.6%) (Fisher's: 9.2%)
CT7 L(1), L(4), J(1), J(4) Assess robustness against non-causal variants and tradeoff with number of tests combined 0.50 Fairly robust Fairly good performance, though Fisher's performs a bit poorer due to length tests Very good (Min(p): 4.9%) (Fisher's: 6.5%)
CT8 SKAT-O, J(∞) Assess ability to create a more robust SKAT-O 0.77 More robust to inclusion of non-causal variants Slightly lower power than SKAT-O when few non-causal variants Very good (Min(p): 4.6%) (Fisher's: 3.0%)
a

Average pairwise correlation across all pairs of tests in the combined test. See Supplementary Figure 1 for complete matrix of pairwise correlations.

b

Percent of simulations in which method had at least 5% lower power than other methods.