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. Author manuscript; available in PMC: 2023 Mar 1.
Published in final edited form as: Epilepsia. 2022 Jan 15;63(3):723–735. doi: 10.1111/epi.17166

Table 1:

Overview of association analysis models.

Models Primary models Secondary models
Control Ultra-rare functional variants Rare functional variants Loss of Function variants
Synonymous PPh2 REVEL MTR Rare
variants +
URVs
Rare
variants −
URVs
Rare variants
+ URVs
Rare variants
− URVs
URVs only
Minor Allele Frequencies
Internal MAF <0.0005 <0.0005 <0.0005 <0.0005 <0.001 without URVs <0.001 without URVs <0.0005
DiscovEHR MAF 0 0 0 0 <0.001 <0.001 0
gnomAD r2 MAF 0 0 0 0 <0.001 <0.001 0
Classes of Variants
ClinEff Effects Synonymous Functional Functional Functional Functional Functional pLoF pLoF pLoF
Missense variants filters
PPh2 prediction - "Probably" - - "Probably" "Probably" - - -
REVEL score - - ≥ 0.5 ≥ 0.5 - - - - -
MTR score - - - ≤ 0.78 - - - - -

MAF: Minor Allele Frequency. PPh2: Polyphen 2 Human Diversity based prediction. REVEL: Rare Exome Variant Ensemble Learner. MTR: Missense Tolerance Ratio score. pLoF: predicted loss-of-function variants. pLoF variants included stop-gain & stop-loss variants, frameshift insertions & deletions, and canonical splice-site variants. Functional variants included pLoF, in-frame insertions & deletions, and missense variants (the missense variants were filtered using PPh2, REVEL, and MTR predictions as indicated). MAF from gnomAD were based on the ‘genomes’ subset. The cut-offs for REVEL & MTR scores were based on Ref.8