GWAS and meta-analysis identifies 49 genetic variants underlying critical Covid-19

Full GWAS data are browsable and available for download at https://genomicc.org/data cohorts.xlsx - Tabular details of geno. typing methods, phenotypes and other characteristics of each cohort included in meta-analyses credible_sets.xlsx - Full table of credible sets of variants obtained from fine-mapping for each genome-wide significant region. gene_level.xlsx - Full results of gene-level analysis, aggregating statistical data for all variants relating to each protein-coding gene. GSMR_eQTL.tsv - Full results from GSMR analysis for RNA expression. GSMR_pQTL.tsv - Full results from GSMR analysis for protein level. twas.xlsx - Full results for colocalisation and TWAS analyses in lung, blood, monocytes and across multiple tissue types.

全套全基因组关联分析（GWAS, Genome-Wide Association Study）数据可在https://genomicc.org/data浏览并下载：
cohorts.xlsx - 收录荟萃分析纳入的所有队列的基因分型方法、表型及其他特征的表格化详细信息；
credible_sets.xlsx - 针对每个全基因组显著关联区域，经精细定位得到的变异可信集完整表格；
gene_level.xlsx - 基因水平分析的完整结果，整合了与每个蛋白质编码基因相关的所有变异的统计数据；
GSMR_eQTL.tsv - 针对RNA表达量的广义摘要数据孟德尔随机化（GSMR, Generalized Summary-data-based Mendelian Randomization）分析完整结果；
GSMR_pQTL.tsv - 针对蛋白质水平的GSMR分析完整结果；
twas.xlsx - 针对肺、血液、单核细胞及多种组织类型的共定位与转录组全关联分析（TWAS, Transcriptome-Wide Association Study）的完整分析结果。