{"id":"W2956006383","doi":"10.1158/1538-7445.am2019-2686","title":"Abstract 2686: Associations between a polygenic risk score and risk of multiple myeloma and its precursor","year":2019,"lang":"en","type":"article","venue":"Cancer Research","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Genome-wide association study; Odds ratio; Single-nucleotide polymorphism; Medicine; Confidence interval; SNP; Logistic regression; Internal medicine; Oncology; Genetic association; Risk factor; Genotype; Genetics; Biology","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":[0.001392201,0.000628312,0.0006328687,0.001192427,0.0003923496,0.0008536018,0.0005536102,0.0004992608,0.004932092],"category_scores_gemma":[0.004194601,0.0002830108,0.00144227,0.002312915,0.0003012343,0.000366548,0.0005806753,0.0009084516,0.0003730342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002198205,"about_ca_system_score_gemma":0.0002704969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004775453,"about_ca_topic_score_gemma":0.002964879,"domain_scores_codex":[0.9986657,0.0004458505,0.0001424608,0.00042965,0.0002296435,0.0000866146],"domain_scores_gemma":[0.9969694,0.0008704403,0.001114322,0.0004432633,0.0003263497,0.0002762732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001165494,0.0000549975,0.985904,0.0000686456,0.001555152,0.0002410716,0.00004188713,0.0004393924,0.003853439,0.00020466,0.0009016937,0.005569589],"study_design_scores_gemma":[0.00004133281,0.0001197621,0.9963114,0.000008949816,0.0004934735,0.0003860553,0.00002230929,0.001560602,0.0004207419,0.0002605522,0.0003672255,0.000007606309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899632,0.000863763,0.003943705,0.0002971695,0.00005760317,0.00002282707,0.003796196,0.0001353238,0.0009202473],"genre_scores_gemma":[0.995814,0.0001271573,0.001696429,0.00005395039,0.00008842385,0.00002063247,0.001596461,0.00002902226,0.0005738448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004932092,"threshold_uncertainty_score":0.01649952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03533958533766877,"score_gpt":0.3199112044398151,"score_spread":0.2845716191021463,"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."}}