Readme file
Manuscript: Jurgens, Choi, Morrill et al. Analysis of Rare Genetic Variation Underlying Cardiometabolic Diseases and Traits among 200,000 Individuals in the UK Biobank. (in press) Nat Genet

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file 1: UKBB_200K_exome_gene_based_analysis_binary_traits.tsv.gz
Gene-based analysis results from the binary traits

Column  Description
phenotype	phenotype name
group	group of the phenotype
gene	gene name
chr	chromosome
mpos	position of the gene
n.variants	the number of variants
n.carriers	the number of carriers
score	score from logistic mixed-effects model reflecting the directional effect
score.stat	test statistics
OR Odds ratio from the Firth logistic regression with unrelated samples for genes with FDR<0.05
p.value p.value from the regression model adjusted by the saddle point approximation

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file 2: UKBB_200K_exome_gene_based_analysis_continous_traits.tsv.gz
Gene-based analysis results from the continuous traits

Column  Description
phenotype	phenotype name
group	group of the phenotype
gene	gene name
chr	chromosome
mpos	position of the gene
n.variants	the number of variants
n.carriers	the number of carriers
score	score from linear mixed-effects model reflecting the directional effect
score.stat	test statistics
effect estimated effect size
p.value p.value from the regression model
