Table 2.
Description | Methods | Advantage | Disadvantage | Software Packagesa | |
---|---|---|---|---|---|
Burden tests | collapse rare variants into genetic scores | ARIEL test,50 CAST,51 CMC method,52 MZ test,53 WSS54 | are powerful when a large proportion of variants are causal and effects are in the same direction | lose power in the presence of both trait-increasing and trait-decreasing variants or a small fraction of causal variants | EPACTS, GRANVIL, PLINK/SEQ, Rvtests, SCORE-Seq, SKAT, VAT |
Adaptive burden tests | use data-adaptive weights or thresholds | aSum,55 Step-up,56 EREC test,57 VT,58 KBAC method,59 RBT60 | are more robust than burden tests using fixed weights or thresholds; some tests can improve result interpretation | are often computationally intensive; VT requires the same assumptions as burden tests | EPACTS, KBAC, PLINK/SEQ, Rvtests, SCORE-Seq, VAT |
Variance-component tests | test variance of genetic effects | SKAT,61 SSU test,62 C-alpha test63 | are powerful in the presence of both trait-increasing and trait-decreasing variants or a small fraction of causal variants | are less powerful than burden tests when most variants are causal and effects are in the same direction | EPACTS, PLINK/SEQ, SCORE-Seq, SKAT, VAT |
Combined tests | combine burden and variance-component tests | SKAT-O,64 Fisher method,65 MiST66 | are more robust with respect to the percentage of causal variants and the presence of both trait-increasing and trait-decreasing variants | can be slightly less powerful than burden or variance-component tests if their assumptions are largely held; some methods (e.g., the Fisher method) are computationally intensive | EPACTS, PLINK/SEQ, MiST, SKAT |
EC test | exponentially combines score statistics | EC test67 | is powerful when a very small proportion of variants are causal | is computationally intensive; is less powerful when a moderate or large proportion of variants are causal | no software is available yet |
Abbreviations are as follows: ARIEL, accumulation of rare variants integrated and extended locus-specific; aSum, data-adaptive sum test; CAST, cohort allelic sums test; CMC, combined multivariate and collapsing; EC, exponential combination; EPACTS, efficient and parallelizable association container toolbox; EREC, estimated regression coefficient; GRANVIL, gene- or region-based analysis of variants of intermediate and low frequency; KBAC, kernel-based adaptive cluster; MiST, mixed-effects score test for continuous outcomes; MZ, Morris and Zeggini; RBT, replication-based test; Rvtests, rare-variant tests; SKAT, sequence kernel association test; SSU, sum of squared score; VAT, variant association tools; VT, variable threshold; and WSS, weighted-sum statistic.
More information is given in Table 3.