{"id":"W4379016319","doi":"10.1101/2023.05.29.23290694","title":"Colocalization of expression transcripts with COVID-19 outcomes is rare across cell states, cell types and organs","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Jewish General Hospital; Public Health Agency; McGill University; Génome Québec; Fondation de l'Hôpital général juif; Compute Canada; National Institutes of Health; Public Health Agency of Canada; Cancer Research UK","keywords":"Colocalization; Expression quantitative trait loci; Biology; Genome-wide association study; Genetics; Cell type; Mendelian randomization; Gene; Gene expression; Single-nucleotide polymorphism; Cell; Genotype; Genetic variants; Cell biology","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":[0.001750306,0.0002320864,0.0005838906,0.0006799625,0.0006304471,0.001088095,0.000344364,0.0005541523,0.004451548],"category_scores_gemma":[0.003235806,0.0003569181,0.0006875873,0.0006335407,0.0008696172,0.0004658145,0.0009324765,0.0009221177,0.0009128468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000497236,"about_ca_system_score_gemma":0.0003849095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098542,"about_ca_topic_score_gemma":0.002145712,"domain_scores_codex":[0.9971812,0.0003788117,0.0002184178,0.001295517,0.0006209259,0.0003052785],"domain_scores_gemma":[0.9958072,0.001649574,0.0009124954,0.0009270569,0.0004847218,0.0002189333],"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":[0.000531156,0.0000436031,0.08500833,0.0004832016,0.0002478203,0.0004671547,0.0002347358,0.0006609716,0.8977768,0.001350187,0.001161722,0.01203422],"study_design_scores_gemma":[0.00008942329,0.0005203308,0.6752279,0.0001412091,0.0004690883,0.002773741,0.0006896058,0.004815871,0.2929697,0.003291033,0.01891681,0.00009527035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389739,0.002399006,0.04121386,0.0004742728,0.0002103808,0.0001097512,0.009591572,0.0008483807,0.006178791],"genre_scores_gemma":[0.98954,0.0002317485,0.005536013,0.0003291242,0.00002253551,0.0001065039,0.002799734,0.0002501239,0.001184254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004451548,"threshold_uncertainty_score":0.01489192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256518008038317,"score_gpt":0.3008583033863705,"score_spread":0.2752065025825389,"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."}}