We used the SAIGE software for running R5 GWAS as we did in previous releases. SAIGE is a mixed model logistic regression R/C++ package. We used code of version We made two modifications to SAIGE codebase (neither modification affects the method):

  • Null model .rda objects were trimmed to reduce RAM consumption

  • Het and alt hom counts in cases and controls are included in the output

We analyzed:

  • ​2,803 endpoints

  • 218,792 samples

  • 16,962,023 variants

We included the following covariates in the model: sex, age, 10 PCs, genotyping batch.

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