{"id":"W4220732247","doi":"10.1101/2022.03.07.22271833","title":"GWAS and meta-analysis identifies multiple new genetic mechanisms underlying severe Covid-19","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Global Health Research","funders":"Medical Research Council; Intensive Care Society; National Institute for Health and Care Research; UK Research and Innovation; Biotechnology and Biological Sciences Research Council; Public Health England; Department of Health and Social Care; Research Councils UK; LifeArc; Wellcome Trust","keywords":"Genome-wide association study; Disease; Biology; Genotyping; Phenotype; Coronavirus disease 2019 (COVID-19); Bioinformatics; Medicine; Computational biology; Genetics; Genotype; Single-nucleotide polymorphism; Gene; Internal medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003327825,0.001324331,0.002090573,0.001592043,0.0004895271,0.002298476,0.0007334631,0.001162995,0.007758106],"category_scores_gemma":[0.007069252,0.0005249217,0.007996308,0.002922752,0.0004088627,0.0005297791,0.001020081,0.00153568,0.0004823416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003665191,"about_ca_system_score_gemma":0.0005931423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002630733,"about_ca_topic_score_gemma":0.004157484,"domain_scores_codex":[0.9975806,0.0008995271,0.0002612436,0.0007664607,0.0002796228,0.0002124702],"domain_scores_gemma":[0.9956468,0.002560883,0.0005499041,0.0008278366,0.0001741771,0.0002404207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.008909736,0.00008483627,0.6325033,0.004206833,0.2788603,0.002399798,0.0002391588,0.00390935,0.008178867,0.002886764,0.01509344,0.04272769],"study_design_scores_gemma":[0.001420144,0.0006063593,0.6997058,0.001138974,0.2519796,0.002610507,0.0003356207,0.008055354,0.002819512,0.01109797,0.02011036,0.0001197634],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7518793,0.1809697,0.02569881,0.009137842,0.001629274,0.0001478393,0.02181349,0.0009391488,0.007784531],"genre_scores_gemma":[0.9815733,0.009298432,0.003139574,0.0006522566,0.0004616107,0.00006057617,0.003700492,0.0001684136,0.0009452931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007758106,"threshold_uncertainty_score":0.02595347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2195049976220798,"score_gpt":0.4090099507387743,"score_spread":0.1895049531166944,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}