{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003459044,0.0001153059,0.0002880983,0.00005077908,0.00004096659,0.000002558829,0.0000803021,0.0001567872,0.00009370023],"category_scores_gemma":[0.0003007208,0.00007995559,0.00004907295,0.00009680297,0.0002056129,8.924447e-7,0.00005799703,0.00009457774,0.000002746715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006570465,"about_ca_system_score_gemma":0.00003761727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001378836,"about_ca_topic_score_gemma":0.00001451989,"domain_scores_codex":[0.9990948,0.00009493183,0.0002571105,0.0003030369,0.00006346972,0.000186612],"domain_scores_gemma":[0.9995936,0.00008387712,0.000077456,0.00009979284,0.00006810591,0.00007721569],"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":[0.00002402526,0.00002474914,0.2506969,0.00006323715,0.0006639251,0.000007466775,0.0003734129,0.00002961575,0.7036735,0.0001283211,0.002305514,0.04200931],"study_design_scores_gemma":[0.0004858733,0.0008160624,0.9688066,0.00003265672,0.0002619854,0.00001165884,0.0001420867,0.00002690162,0.003169693,0.0004623314,0.02565465,0.0001295518],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599395,0.03710319,0.001062897,0.001342539,0.00008411804,0.0001038289,0.0001494033,0.00000943582,0.0002051272],"genre_scores_gemma":[0.9845212,0.01361984,0.0006140784,0.0001820514,0.0007426132,0.00001516043,0.0000817957,0.00001066648,0.0002126763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7181097,"threshold_uncertainty_score":0.3260494,"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."}}