The FinnGen22 (https://www.finngen.fi/en) study combines genotype data with longitudinal health register data of Finland, including the causes of death, inpatient, outpatient, and drug reimbursement registers. Subjects were genotyped with Illumina and Affymetrix arrays (Illumina Inc., San Diego, and Thermo Fisher Scientific, Santa Clara, CA, USA) as described (https://www.finngen.fi/en/researchers/genotyping). Genotyping and imputation with the Finnish population-specific SISu v3 reference panel were conducted, as described (https://www.protocols.io/view/genotype-imputation-workflow-v3-0-xbgfijw). SNPs were pruned for minor allele frequency (MAF) ≥0.01 and imputation info score >0.6. GWAS was performed using the Scalable and Accurate Implementation of GEneralized mixed model (SAIGE) v0.20111 with a kinship matrix as a random effect and age, sex, the first 10 principal components (PCs), and genotyping batch as fixed effects.
