{"id":"W4385827919","doi":"10.1093/genetics/iyad150","title":"Leveraging osteoclast genetic regulatory data to identify genes with a role in osteoarthritis","year":2023,"lang":"en","type":"article","venue":"Genetics","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Health and Medical Research Council; Medical Research Council; Government of Western Australia; Raine Medical Research Foundation; New York State Department of Health; National Institute for Health and Care Research; Australian Government","keywords":"Expression quantitative trait loci; Biology; Genome-wide association study; Genetics; Quantitative trait locus; Mendelian randomization; Locus (genetics); Candidate gene; Genetic association; Gene; Single-nucleotide polymorphism; Genotype; Genetic variants","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":[0.002357599,0.0004096172,0.0007173571,0.002080833,0.0003508976,0.0008616635,0.0004926522,0.0003230343,0.002877943],"category_scores_gemma":[0.003201404,0.0002306532,0.001200475,0.001807352,0.0004099196,0.0002817567,0.0008963019,0.0006818264,0.0004710125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003376458,"about_ca_system_score_gemma":0.0007098564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00433852,"about_ca_topic_score_gemma":0.0092492,"domain_scores_codex":[0.9985886,0.0002909568,0.0001095514,0.0006468085,0.0002469989,0.0001170132],"domain_scores_gemma":[0.9976466,0.001236075,0.0004738612,0.0003069772,0.0001503234,0.0001862065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002181266,0.0001613594,0.5256855,0.001213371,0.00226348,0.002475296,0.0004100069,0.009303709,0.3335353,0.004817759,0.003528116,0.1144248],"study_design_scores_gemma":[0.0006156107,0.0005737693,0.8928931,0.0002206393,0.002837774,0.002445405,0.0003371347,0.02995051,0.02828941,0.01427293,0.02740111,0.0001625244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215457,0.00705244,0.04815608,0.0009523722,0.0000919665,0.00008186053,0.01725534,0.000959865,0.003904448],"genre_scores_gemma":[0.9550496,0.001498356,0.03217339,0.0007221191,0.0000809999,0.00007204102,0.009297456,0.0002487771,0.0008573733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00433852,"threshold_uncertainty_score":0.01246834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03926582342567279,"score_gpt":0.2940542100433665,"score_spread":0.2547883866176937,"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."}}