{"id":"W4386212757","doi":"10.1007/s00439-023-02590-w","title":"Colocalization of expression transcripts with COVID-19 outcomes is rare across cell states, cell types and organs","year":2023,"lang":"en","type":"article","venue":"Human Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University; McGill Genome Centre; Jewish General Hospital","funders":"Lady Davis Institute for Medical Research; Fonds de Recherche du Québec - Santé; Compute Canada; Canadian Institutes of Health Research; Jewish General Hospital; Public Health Agency; Génome Québec; Public Health Agency of Canada; McGill University; Fondation de l'Hôpital général juif; National Institutes of Health; Cancer Research UK; Foundation for the National Institutes of Health","keywords":"Colocalization; Biology; Expression quantitative trait loci; Genome-wide association study; Genetics; Cell type; Mendelian randomization; Gene; Single-nucleotide polymorphism; Cell; Genotype; Cell biology; Genetic variants","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002359004,0.0003202903,0.0007570469,0.0008205629,0.0007100222,0.001228048,0.0003757512,0.0006959355,0.003705922],"category_scores_gemma":[0.004491921,0.0004210897,0.0009143997,0.0008349841,0.001149313,0.0005675285,0.001026372,0.001084425,0.0008570665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005904976,"about_ca_system_score_gemma":0.000532614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396156,"about_ca_topic_score_gemma":0.00353798,"domain_scores_codex":[0.9964966,0.0004546204,0.000269837,0.001703593,0.0007449948,0.0003303389],"domain_scores_gemma":[0.9948419,0.002290401,0.001064902,0.001093056,0.000507059,0.0002027264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006629517,0.00006114854,0.1238685,0.0007959504,0.0003733083,0.0007056142,0.0004353419,0.0009571058,0.8491077,0.002072563,0.001333896,0.01962574],"study_design_scores_gemma":[0.0001015328,0.000637635,0.6673828,0.000177603,0.0006787868,0.003116884,0.0007527082,0.005519447,0.2949474,0.005035318,0.02152835,0.0001214088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9056981,0.003204572,0.06798682,0.000656056,0.0002924666,0.0001920386,0.01274784,0.001153853,0.008068272],"genre_scores_gemma":[0.9804175,0.0004379868,0.01181268,0.0005534576,0.00003006663,0.0002262571,0.004408968,0.0004461799,0.001666979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003705922,"threshold_uncertainty_score":0.01247573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326859788582379,"score_gpt":0.3057736204952345,"score_spread":0.2825050226094107,"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."}}