README:

Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways. (Jansen et al., Nature Genetics, 2018)

This file includes GWAS summary statistics of insomnia in UK Biobank (N=386,533 individuals)
Due to restrictions on sharing the data, the results do not include 23andMe participants
To fully recreate our meta-analytic results for insomnia:
(a) obtain insomnia GWAS summary statistics from 23andMe through application
(b) conduct a meta-analysis of our sumstats with the 23andMe GWAS summary statistics

# Header information:
Columns (not all are present for each sumstats file, see note bottom of file):
SNP: rsID of the variant
UNIQUE_ID: unique SNP ID based on chromosome, position and alleles
CHR: chromosome number
BP: base pair position reported on GRCh37
A1: effect allele
A2: non-effect allele
MAF: Minor allele frequency
OR: odds ratio related to the effect allele
SE: standard error
P: P-value
N: per-SNP sample size
INFO: info score (SNP quality measure)

# GWAS of sleep-related phenotypes:
-Morningness (UKB, N=345,552)
-Sleep duration (UKB, N=384,317)
-Ease of getting up (UKB, N=385,949)
-Daytime napping (UKB, N=386,577)
-Daytime dozing (UKB, N=386,548)
-Snoring (UKB, N=359,916)