{"id":"W2160115185","doi":"10.1371/journal.pgen.1002741","title":"Stratifying Type 2 Diabetes Cases by BMI Identifies Genetic Risk Variants in LAMA1 and Enrichment for Risk Variants in Lean Compared to Obese Cases","year":2012,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":267,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Cancer Institute; National Institute on Alcohol Abuse and Alcoholism; Medical Research Council; National Center for Research Resources; National Institute of Dental and Craniofacial Research; Novartis Pharma; National Institutes of Health; Fondation de France; National Heart, Lung, and Blood Institute; Vetenskapsrådet; Sanofi; European Commission; National Human Genome Research Institute; Wellcome Trust; Agence Nationale de la Recherche; Les Laboratories Pierre Fabre; Institut National de la Santé et de la Recherche Médicale; School of Medicine, Boston University; National Institute of Diabetes and Digestive and Kidney Diseases; Lunds Universitet; National Institute on Drug Abuse; Eli Lilly and Company","keywords":"Type 2 diabetes; Overweight; Obesity; Body mass index; Diabetes mellitus; Single-nucleotide polymorphism; Internal medicine; Genome-wide association study; Biology; Risk factor; Case-control study; Genetic association; Endocrinology; Medicine; Bioinformatics; Genetics; Genotype; Gene","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":[0.002302371,0.000520307,0.000663329,0.00150408,0.0006290699,0.001111318,0.0005493535,0.0007126405,0.001628688],"category_scores_gemma":[0.007071442,0.0004456148,0.001332604,0.001172374,0.0004142656,0.000282602,0.0006033462,0.0006955353,0.0002525315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002310423,"about_ca_system_score_gemma":0.0002541559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004280476,"about_ca_topic_score_gemma":0.005649316,"domain_scores_codex":[0.998082,0.0006843306,0.0001814868,0.0006226535,0.000223139,0.0002064851],"domain_scores_gemma":[0.9972246,0.001218256,0.0006832082,0.0004467375,0.0001770322,0.0002502832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001026031,0.00004677651,0.9889423,0.00001965596,0.0005019075,0.0002464449,0.0001716402,0.0001201313,0.004964767,0.00004587085,0.0001095981,0.003804835],"study_design_scores_gemma":[0.00008059798,0.0001691283,0.996834,0.00001261558,0.0004406655,0.0005498042,0.0001775698,0.0007419059,0.0005959501,0.0001617868,0.0002235142,0.00001245582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988297,0.0003028959,0.0004581858,0.00004879684,0.000008604221,0.000008783686,0.0001221959,0.00001304481,0.0002079495],"genre_scores_gemma":[0.9990283,0.00007800246,0.0004951402,0.00003708533,0.00001117561,0.00001078965,0.0002084573,0.000007356315,0.0001236272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004280476,"threshold_uncertainty_score":0.01217622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014445139635725,"score_gpt":0.2782651669371498,"score_spread":0.2581207155407926,"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."}}