{"id":"W4391486154","doi":"10.1186/s13073-024-01294-8","title":"Biological basis of extensive pleiotropy between blood traits and cancer risk","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Departament de Salut, Generalitat de Catalunya; European Regional Development Fund; Instituto de Salud Carlos III; Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya; Centro de Investigación Biomédica en Red de Cáncer; National Cancer Institute; National Institutes of Health; Generalitat de Catalunya; Grifols; Centres de Recerca de Catalunya","keywords":"Biology; Genome-wide association study; Carcinogenesis; Quantitative trait locus; Pleiotropy; Genetics; Genetic association; Cancer; Expression quantitative trait loci; Gene; Human genetics; Computational biology; Single-nucleotide polymorphism; Phenotype; Genotype","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":[0.001439325,0.0004549155,0.0004331209,0.0009318756,0.0002855201,0.0004321228,0.0002967595,0.0003579294,0.001821578],"category_scores_gemma":[0.002230766,0.000274059,0.0005753982,0.0008385989,0.0006841019,0.0001743989,0.0005798292,0.000492455,0.0001365372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001276117,"about_ca_system_score_gemma":0.000288678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007518894,"about_ca_topic_score_gemma":0.0009505489,"domain_scores_codex":[0.9989086,0.0005196629,0.00006377631,0.0002746468,0.0001499142,0.00008325721],"domain_scores_gemma":[0.9958878,0.002532269,0.0008006025,0.0004098057,0.0001024809,0.0002670441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001379635,0.00008509732,0.9060119,0.0001070234,0.001067282,0.001174229,0.0002025701,0.002552992,0.07389398,0.0006700205,0.0001191714,0.01273608],"study_design_scores_gemma":[0.00002413889,0.0001461162,0.9929544,0.00001047042,0.0002031624,0.0007032439,0.00003962602,0.002842332,0.001695625,0.001215769,0.0001503467,0.0000147304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936708,0.0007553718,0.004632364,0.00009354768,0.000005272271,0.00001385811,0.0003130616,0.00004565903,0.000470052],"genre_scores_gemma":[0.9983491,0.0001349847,0.001246656,0.00001869463,0.000008520949,0.000008235137,0.0001348134,0.000006864153,0.00009216748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001821578,"threshold_uncertainty_score":0.00761193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221468390711602,"score_gpt":0.2895344597851206,"score_spread":0.2673876207139604,"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."}}