Genome-wide association summary statistics for sex- and age-specific analysis of chronic back pain

The dataset comprises summary-level statistics for age- and sex-specific genome-wide association study of chronic back pain (cBP) in individuals of European descent from UK Biobank (https://www.ukbiobank.ac.uk/). The study was carried out under UK Biobank approved project #18219. 

The dataset accompanies the paper (please cite if using the dataset):

Freidin, Maxim B.; Tsepilov, Yakov A.; Stanaway, Ian B.; Meng, Weihua; Hayward, Caroline; Smith, Blair H.; Khoury, Samar; Parisien, Marc; Bortsov, Andrey; Diatchenko, Luda; Børte, Sigrid; Winsvold, Bendik S.; Brumpton, Ben M.; Zwart, John-Anker; HUNT All-In Pain; Aulchenko, Yurii S.; Suri, Pradeep; Williams, Frances M.K. Sex- and age-specific genetic analysis of chronic back pain. Pain. 2020. doi:10.1097/j.pain.0000000000002100.

The phenotype of cBP was defined as back pain for 3+ months. Linear mixed-effects additive model was fitted adjusting for age, genotyping array type, and 10 genetic PCs provided by UK Biobank. The following filters were applied: minor allele frequency >0.001, genotyping and individual call rates >0.98%, imputation quality score (INFO) >0.7. GWAS were carried out in males and females separately in the whole sample (allages) as well as in groups of younger than 65 years (under65) and 65+ years old (65plus) as detailed in the paper. Accordingly, 6 files are deposited here, corresponding to each group. 

Column headers:

SNP, SNP rsID 

CHR, chromosome

BP, genomic position (GRCh37 build)

EA, effect allele (coded as "1")

OTHER, other allele (coded as "0")

A1FREQ, frequency of effect allele

INFO, imputation quality

BETA, effect size (for effect allele)

SE, standard error of effect size

PVAL, p-value for association