Differential association analysis between two COVID-19 hospitalization GWAS from HGI

COVID-19 hospitalization GWASs, including HGI-B1 (hospitalized vs. non-hospitalized) and HGI-B2 (hospitalized vs. general population) are compared for effect sizes of each SNP using Z-test with/without normalization.
The two GWASs were downloaded from HGI (release 4), and samples used to generate the two GWASs were with mixed ancestries. Only SNPs with MAF>0.01 and imputation score > 0.6 were kept.
The aim for the comparison is to identify potential COVID-19 risk SNPs showing ancestry-linked effects.
Please read detail of the analysis by accessing the SAS GWAS Analyzer in GitHub (https://github.com/chengzhongshan/COVID19_GWAS_Analyzer).

本研究针对两类COVID-19住院相关全基因组关联研究（Genome-Wide Association Study, GWAS）数据集——HGI-B1（住院组vs.非住院组）与HGI-B2（住院组vs.普通人群），采用Z检验（分标准化与未标准化两种情形）对比各单核苷酸多态性（Single Nucleotide Polymorphism, SNP）的效应量。上述两项GWAS均下载自HGI（第4版），其构建所用的样本均为混合血统人群；仅保留次要等位基因频率（Minor Allele Frequency, MAF）>0.01且基因型填充评分>0.6的SNP位点。本对比分析的目的是识别出具有血统关联效应的潜在COVID-19风险SNP。如需查阅分析的详细细节，请访问GitHub平台上的SAS GWAS Analyzer工具（https://github.com/chengzhongshan/COVID19_GWAS_Analyzer）。