Multivariate GWAS for ARD

This dataset contains genome-wide summary statistics (autosomal variants) computed from a multivariate genome-wide association study of five age-related diseases (heart attack, high cholesterol, hypertension, stroke, and type 2 diabetes) using Genomic Structural Equation Modeling (https://github.com/GenomicSEM/GenomicSEM). The calculated effective sample size is 475,203. Number of variants: 4,893,454 Column names: SNP = rsID CHR = chromosome BP = base pair location MAF = minor allele frequency A1 = effect allele A2 = other allele est = effect of the SNP on the common factor se_c = standard error of the effect Z_Estimate = est/se_c Pval_Estimate = corresponding P-value of Z_Estimate Q = heterogeneity estimate of the SNP Q_df = degree of freedom for Q Q_pval = P-value associated with the Q statistics本数据集包含借助基因组结构方程模型（Genomic Structural Equation Modeling，GenomicSEM，https://github.com/GenomicSEM/GenomicSEM），对5种年龄相关疾病（心肌梗死、高胆固醇血症、高血压、脑卒中、2型糖尿病）开展多变量全基因组关联研究后计算得到的全基因组汇总统计量（常染色体变异），其计算所用有效样本量为475203。 变异位点总数：4,893,454 各列字段含义如下： SNP：单核苷酸多态性参考编号（rsID） CHR：染色体编号 BP：碱基对位置 MAF：次要等位基因频率 A1：效应等位基因 A2：其他等位基因 est：单核苷酸多态性对公共因子的效应值 se_c：效应值的标准误 Z_Estimate：效应值与标准误的比值（即est/se_c） Pval_Estimate：Z_Estimate对应的显著性P值 Q：单核苷酸多态性的异质性估计值 Q_df：Q统计量的自由度 Q_pval：Q统计量对应的显著性P值