<HashMap><database>EGA</database><scores/><additional><omics_type>Genomics</omics_type><dataset_type>N/A</dataset_type><submitter_keywords>COVID-19</submitter_keywords><submitter_keywords>SARS-CoV-2</submitter_keywords><submitter_keywords>2019 novel coronavirus infection</submitter_keywords><submitter_keywords>2019-nCoV infection</submitter_keywords><submitter_keywords>severe acute respiratory syndrome coronavirus 2</submitter_keywords><submitter_keywords>coronavirus disease 2019</submitter_keywords><submitter_keywords>SARS-coronavirus 2</submitter_keywords><full_dataset_link>https://ega-archive.org/datasets/EGAD00001010176</full_dataset_link><sample_count>611</sample_count><description>EGA dataset EGAD00001010176</description><repository>EGA</repository><title>Genetic determinants of monocyte splicing are enriched for disease susceptibility loci including for COVID-19</title></additional><is_claimable>false</is_claimable><name>5ed85774-9ef8-48b7-a822-9dfd983518f9 - samples</name><description>These data correspond to samples used in the following papers: 
1. GWAS and meta-analysis identifies 49 genetic variants underlying critical Covid-19
2. Genetic determinants of monocyte splicing are enriched for disease susceptibility loci including for COVID-19.
3. Identification of Genetic Determinants of Transcriptional Response to Metformin in Primary Human Monocytes.
They are the raw RNA sequencing files as used in all downstream analysis.</description><dates><updated>2023-04-13 09:19:48</updated></dates><accession>EGAD00001010176</accession><cross_references><TAXONOMY>9606</TAXONOMY><OLS>MONDO_0100096</OLS><EGA>EGAC00001003164</EGA><EGA>EGAS00001007111</EGA></cross_references></HashMap>