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

<p>The dataset comprises summary-level statistics for age- and sex-specific&nbsp;genome-wide association study of chronic back pain (cBP) in individuals of European descent from UK Biobank (<a href="https://www.ukbiobank.ac.uk/">https://www.ukbiobank.ac.uk/</a>).&nbsp;The study was carried out under UK Biobank approved project #18219.&nbsp;</p> <p><strong>The dataset accompanies the paper (please cite if using the dataset):</strong></p> <p><a href="https://pubmed.ncbi.nlm.nih.gov/33021770/">Freidin, Maxim B.; Tsepilov, Yakov A.; Stanaway, Ian B.; Meng, Weihua; Hayward, Caroline; Smith, Blair H.; Khoury, Samar; Parisien, Marc; Bortsov, Andrey; Diatchenko, Luda; B&oslash;rte, Sigrid; Winsvold, Bendik S.; Brumpton, Ben M.; Zwart, John-Anker; HUNT All-In Pain; Aulchenko, Yurii S.; Suri, Pradeep; Williams, Frances M.K.&nbsp;Sex- and age-specific genetic analysis of&nbsp;chronic back pain. Pain. 2020. doi:10.1097/j.pain.0000000000002100.</a></p> <p>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 &gt;0.001, genotyping and individual call rates &gt;0.98%, imputation quality score (INFO) &gt;0.7. GWAS were carried out in males and females separately in the whole sample&nbsp;(<strong>allages</strong>) as well as in groups of younger than 65 years (<strong>under65</strong>) and 65+&nbsp;years old (<strong>65plus</strong>) as detailed in the paper. Accordingly, 6 files are deposited here, corresponding to each group.&nbsp;</p> <p><strong>Column headers:</strong></p> <p>SNP, SNP rsID&nbsp;</p> <p>CHR, chromosome</p> <p>BP, genomic position (GRCh37 build)</p> <p>EA, effect allele (coded as &quot;1&quot;)</p> <p>OTHER, other allele (coded as &quot;0&quot;)</p> <p>A1FREQ, frequency of effect allele</p> <p>INFO, imputation quality</p> <p>BETA, effect size (for effect allele)</p> <p>SE, standard error of effect size</p> <p>PVAL, p-value for association</p>