<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/EGAD00001008464</full_dataset_link><sample_count>100</sample_count><description>EGA dataset EGAD00001008464</description><repository>EGA</repository><title>COVID-19 Severity First Wave of Infection for Severe Patients in Madrid</title></additional><is_claimable>false</is_claimable><name>7f4e3f6c-4def-4ca2-a82b-83d4305134fd - samples</name><description>We recruited 98 hospitalised patients displaying severe COVID-19 symptoms from the first wave of infection. A stringent exclusion criteria based on non-genetic factors such as age, blood oxygen, radiologic findings and other typical COVID-19 signs was performed. 
Gingival or peripheral blood samples were taken for 98 individuals and whole exome sequencing performed using ExomeCapture-Seq capture KAPA HyperExome on Illumina machines.</description><dates><updated>2022-01-12 16:40:12</updated></dates><accession>EGAD00001008464</accession><cross_references><TAXONOMY>9606</TAXONOMY><OLS>MONDO_0100096</OLS><EGA>EGAC00001002480</EGA><EGA>EGAS00001005931</EGA></cross_references></HashMap>