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BioAgeAccel GWAS summary statistics

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Mendeley Data2024-01-31 更新2024-06-28 收录
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https://figshare.com/articles/BioAgeAccel_GWAS_summary_statistics/12620366
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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. N=98,446 SNP: rs number or ID stringCHR: chromosomeBP: physical (base pair) positionGENPOS: genetic position either from bim file or interpolated from genetic mapALLELE1: first allele in bim file (usually the minor allele), used as the effect alleleALLELE0: second allele in bim file, used as the reference alleleA1FREQ: frequency of first alleleF_MISS: fraction of individuals with missing genotype at this SNPBETA: effect size from BOLT-LMM approximation to infinitesimal mixed modelSE: standard error of effect sizeP_BOLT_LMM_INF: infinitesimal mixed model association test p-valueP_BOLT_LMM: 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PhenoAge为结局指标,纳入候选单核苷酸多态性(Single Nucleotide Polymorphism, SNP)的加性等位基因效应作为核心关联变量,同时校正固定效应因素:实际年龄(用于构建加速生物学年龄的分析场景)、性别、基因分型阵列类型及评估中心,并引入随机多基因效应与随机环境效应,以此检验加速PhenoAge与各SNP之间的关联。 默认采用欧洲血统样本配套的BOLT-LMM连锁不平衡(Linkage Disequilibrium, LD)得分对BOLT-LMM统计量进行校准。 本数据集共包含N=98,446个SNP,各字段含义如下: rs编号或ID字符串 CHR:染色体(chromosome) BP:物理位置(碱基对坐标) GENPOS:遗传位置,可源自bim文件或通过遗传图谱插值获得 ALLELE1:bim文件中的第一个等位基因(通常为次要等位基因),作为效应等位基因 ALLELE0:bim文件中的第二个等位基因,作为参考等位基因 A1FREQ:第一个等位基因的频率 F_MISS:该SNP基因型缺失的个体比例 BETA:BOLT-LMM近似无限混合模型得到的效应量 SE:效应量的标准误 P_BOLT_LMM_INF:无限混合模型关联检验的P值 P_BOLT_LMM:非无限混合模型关联检验的P值
创建时间:
2024-01-31
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集为生物年龄加速的全基因组关联研究(GWAS)汇总统计结果,基于98,446个样本,利用BOLT-LMM软件分析SNP与PhenoAge加速的关联。数据包含SNP标识、染色体位置、等位基因信息、效应大小和统计显著性等关键变量,适用于遗传学和衰老研究。
以上内容由遇见数据集搜集并总结生成
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