Summary statistics of the gene-based collapsing analyses for COVID-19 severity within the DeCOI WGS data set

These are the summary statistics of the gene-based collapsing analyses for COVID-19 severity within the DeCOI Whole-Genome Sequencing data set from the European subcohort (n=1,017).

Case - control definitions:Ex (file: DeCOI_EUR_Ex_RVAS.tsv.gz): 272 cases (required mechanical ventilation or died because of COVID-19 = WHO score 6-10); 362 controls (not hospitalized = WHO score 1-3)B1 (file: DeCOI_EUR_B1_RVAS.tsv.gz): 655 cases (at least hospitalized = WHO score 4-10); 362 controls (not hospitalized = WHO score 1-3)

Column description:CHROM: Chromosome of the respective geneID: Column of the format: [Ensemble Gene ID].[mask which was used to select variants].[upper alle frequency cut-off]ALLELE0: The reference alleleALLELE1: The alternative allele and the effect allele - here all variants which pass allele frequency and mask filters (see ID-column)A1FREQ: Total frequency of Allele 1A1FREQ_CASES: Frequency of Allele 1 in casesA1FREQ_CONTROLS: Frequency of Allele 1 in controlsN: Count of individuals that were used in the analysisN_CASES: Count of cases that were used in the analysisN_CONTROLS: Count of controls that were used in the analysisTEST: Test-mode of regenie - here an additive model was usedBETA: Estimated effect size given as betaSE: Standard error of BETALOG10P: Negative decadic logarithm of the p-value

Method:Please refer to our accompanying manuscript for a detailed description. We conducted gene-based collapsing analysis using regenie 3.2.4 in logistic regression mode (without step 1). Covariates used were sex, age, age*age, age*sex and the first 10 principal components derived from common variants.

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