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R2
R2
  • Introduction
  • Data download
  • Data releases
  • How to cite
  • Pheweb Browser
    • Getting started
    • Phenotype list
    • GWAS overview
    • Locus zoom
    • Variant view
    • Gene view / LoF burden
  • Methods
    • Participating biobanks/cohorts
    • Genotypes
      • Genotype data
      • Genotype imputation
      • SISu reference panel
      • Software used
    • Endpoints
    • GWAS
      • Quality control
      • Association tests
      • Workflows
    • Loss of function burden
    • Contact
    • Github
    • FinnGen
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  1. Methods

GWAS

PreviousEndpointsNextQuality control

Last updated 5 years ago

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We used the SAIGE software for running the R2 GWAS.

SAIGE is a mixed model logistic regression R/C++ package, able to account for related samples.

We analyzed:

  • ​1,122 endpoints

  • 96,499 samples

  • 17,054,975 variants

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