{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001668083,0.000141161,0.000195585,0.00003475128,0.0001671293,0.00001271047,0.0001166142,0.0001697228,0.00003091419],"category_scores_gemma":[0.00002979791,0.0001201879,0.00003869699,0.0001156478,0.0001153012,0.000001759396,0.00007334534,0.00004876998,0.000004670171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001144407,"about_ca_system_score_gemma":0.00006888097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003185634,"about_ca_topic_score_gemma":0.000117834,"domain_scores_codex":[0.9990466,0.0000774175,0.0002412346,0.000287718,0.0001047456,0.0002422389],"domain_scores_gemma":[0.9993991,0.00002844684,0.0001315919,0.0002449908,0.00008724252,0.0001086148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003310804,0.00007430158,0.5399962,0.0001609388,0.00003600623,0.000002718355,0.002619967,0.004096029,0.4380683,0.00000754747,0.01477802,0.0001268092],"study_design_scores_gemma":[0.00325258,0.001328123,0.3338129,0.0000213912,0.0001070877,0.00000534679,0.003443769,0.0009863006,0.6074966,0.0005210334,0.04840466,0.0006202763],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950911,0.0006501205,0.003543904,0.0001917093,0.00004027494,0.0001750793,0.0001622833,0.00001854776,0.0001270114],"genre_scores_gemma":[0.9955018,0.0009226627,0.0008119374,0.0005752092,0.00002666479,0.00001282912,0.0004715212,0.00002621845,0.001651194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2061833,"threshold_uncertainty_score":0.4901121,"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."}}