BioAgeAccel 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. 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

搜集汇总

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。