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. <strong>The dataset accompanies the paper (please cite if using the dataset):</strong> 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 &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 (<strong>allages</strong>) as well as in groups of younger than 65 years (<strong>under65</strong>) and 65+ years old (<strong>65plus</strong>) as detailed in the paper. Accordingly, 6 files are deposited here, corresponding to each group. <strong>Column headers:</strong> 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本数据集包含来自英国生物库（UK Biobank，https://www.ukbiobank.ac.uk/）的欧洲血统人群慢性背痛（chronic back pain, cBP）按年龄和性别分层的全基因组关联研究（genome-wide association study, GWAS）的汇总级统计数据。本研究依托英国生物库批准的项目#18219开展。<strong>本数据集配套如下学术论文（若使用本数据集请引用该文献）：</strong>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. 《慢性背痛的年龄与性别分层遗传分析》，发表于《Pain》2020年，DOI: 10.1097/j.pain.0000000000002100。本研究中慢性背痛的表型被定义为持续3个月及以上的背部疼痛。研究采用线性混合效应加性模型，对年龄、基因分型芯片类型以及英国生物库提供的10个遗传主成分（genetic PCs）进行校正。本数据集应用了如下质量控制筛选标准：次要等位基因频率（minor allele frequency, MAF）>0.001，基因分型与个体检出率>0.98%，填充质量得分（imputation quality score, INFO）>0.7。全基因组关联分析分别在男性、女性的全样本（<strong>allages</strong>），以及65岁以下（<strong>under65</strong>）、65岁及以上（<strong>65plus</strong>）的亚组中开展，具体细节详见论文。据此，本数据集共包含6个对应上述分组的文件。<strong>列名说明：</strong>SNP：单核苷酸多态性（Single Nucleotide Polymorphism, SNP）位点；SNP rsID：SNP的rs标识符；CHR：染色体编号；BP：基因组位置（采用GRCh37参考基因组版本）；EA：效应等位基因（编码为"1"）；OTHER：非效应等位基因（编码为"0"）；A1FREQ：效应等位基因频率；INFO：填充质量得分；BETA：效应量（对应效应等位基因）；SE：效应量的标准误；PVAL：关联分析的P值。