Table 2 Benchmarks

From: Detecting heritable phenotypes without a model using fast permutation testing for heritability and set-tests

Algorithm

GCTA

pylmm

FaST-LMM

FEATHER (Deriv. Based)

FEATHER (SAMC)

No. of perm. used p = 10−4

106

106

106

106

106

Total time used p = 10−4

>8 months

1.8 days

13 h

23 min

16 min

No. of perm. used p = 10−7

109

109

109

109

106

Total time used p = 10−7

 

>4 years

1.4 years

16 days

16 min

No. of perm. used p = 10−9

1011

1011

1011

1011

106

Total time used p = 10−9

   

>4 years

16 min

  1. The running time of permutation tests, as calculated by GCTA29, pylmm37 and FaST-LMM38 (performing full estimation for each permutation), vs. the derivative-based approach, with and without SAMC, on a single site from the KORA dataset, with 1799 individuals. Benchmarks are shown for the cases where the true p-value is 10−4, 10−7, or 10−9. The number of permutations required for the non-SAMC methods is assumed to be p/100 (see Methods). For these p-values, SAMC converged after 106 permutations (see Results). Per permutation, the derivative-based approaches have a speed up of two orders of magnitude compared to the best full estimation permutation test program. The usage of SAMC for small p-values introduces an additional speed up of up to 6 orders of magnitude. Expected computation times for several sites are multiplied by the number of examined sites