BioAgeAccel GWAS summary statistics
收藏Figshare2020-07-08 更新2026-04-08 收录
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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. <br>N=98,446<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
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2020-07-08



