PhenoAgeAccel GWAS summary statistics

The association between accelerated PhenoAge with each SNP was examined using an efficient Bayesian linear mixed effects model (BOLT-LMM software version 2.2) for the outcome of PhenoAge with additive allelic effect of the candidate SNP, and other fixed effects: chronological age (to make the case of accelerated biological age), sex, genotyping array type, and assessment center, plus random polygenic and environment effects. By default, the LD scores included in the BOLT-LMM for European-ancestry samples were used to calibrate the BOLT-LMM statistic. <br>N=107,460<br><b><br></b><b>SNP</b>: rs number or ID string<b>CHR</b>: chromosome<b>BP</b>: physical (base pair) position<b>GENPOS</b>: genetic position either from bim file or interpolated from genetic map<b>ALLELE1</b>: first allele in bim file (usually the minor allele), used as the effect allele<b>ALLELE0</b>: second allele in bim file, used as the reference allele<b>A1FREQ</b>: frequency of first allele<b>F_MISS</b>: fraction of individuals with missing genotype at this SNP<b>BETA</b>: effect size from BOLT-LMM approximation to infinitesimal mixed model<b>SE</b>: standard error of effect size<b>P_BOLT_LMM_INF</b>: infinitesimal mixed model association test p-value<b>P_BOLT_LMM</b>: non-infinitesimal mixed model association test p-value

本研究采用高效贝叶斯线性混合效应模型（BOLT-LMM软件版本2.2），以表型年龄（PhenoAge）加速为结局变量，以候选单核苷酸多态性（Single Nucleotide Polymorphism, SNP）的加性等位基因效应为核心，纳入其他固定效应：实足年龄（用于构建生物年龄加速研究场景）、性别、基因分型阵列类型及评估中心，同时加入随机多基因与环境效应，分析表型年龄加速与每个单核苷酸多态性之间的关联。<br>默认情况下，本研究使用欧洲血统样本配套的BOLT-LMM连锁不平衡（Linkage Disequilibrium, LD）计分文件对BOLT-LMM统计量进行校准。<br>N=107,460<br><br><b>SNP</b>：单核苷酸多态性编号（rs号）或标识符字符串<br><b>CHR</b>：染色体编号<br><b>BP</b>：物理位置（碱基对坐标）<br><b>GENPOS</b>：遗传位置，可来自bim文件或通过遗传图谱插值得到<br><b>ALLELE1</b>：bim文件中的首个等位基因（通常为次要等位基因），作为效应等位基因<br><b>ALLELE0</b>：bim文件中的第二个等位基因，作为参考等位基因<br><b>A1FREQ</b>：首个等位基因的等位基因频率<br><b>F_MISS</b>：该位点基因型缺失的个体占比<br><b>BETA</b>：BOLT-LMM近似无限混合模型得到的效应量<br><b>SE</b>：效应量的标准误<br><b>P_BOLT_LMM_INF</b>：无限混合模型关联检验的P值<br><b>P_BOLT_LMM</b>：非无限混合模型关联检验的P值