{"id":"W2103079513","doi":"10.1371/journal.pone.0140179","title":"META-GSA: Combining Findings from Gene-Set Analyses across Several Genome-Wide Association Studies","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Cancer Institute; National Human Genome Research Institute; Bundesamt für Strahlenschutz; Canadian Cancer Society Research Institute; National Institutes of Health; Institut National Du Cancer; Deutsche Forschungsgemeinschaft; Deutsche Krebshilfe; Johns Hopkins University; University of Texas MD Anderson Cancer Center; Cancer Care Ontario; Deutscher Akademischer Austauschdienst; Synchrotron Light Research Institute; Cancer Prevention and Research Institute of Texas; European Regional Development Fund; World Health Organization","keywords":"Genetic association; Genome-wide association study; Computational biology; Genetics; Meta-analysis; Biology; Weighting; Set (abstract data type); Gene; Concordance; Statistics; Computer science; Mathematics; Single-nucleotide polymorphism; Medicine; Genotype","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08931575,0.004665437,0.007823321,0.01439672,0.001520273,0.005224359,0.00554289,0.002761303,0.00723006],"category_scores_gemma":[0.1011721,0.002021153,0.02796783,0.01128326,0.001519119,0.003107289,0.004483134,0.002799606,0.0006560411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665637,"about_ca_system_score_gemma":0.002862225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003488483,"about_ca_topic_score_gemma":0.004028558,"domain_scores_codex":[0.930408,0.05949093,0.002359499,0.004741922,0.002599603,0.0004001073],"domain_scores_gemma":[0.872099,0.1065946,0.004878574,0.01328459,0.002199717,0.0009435686],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005965707,0.0003001943,0.1468374,0.009808796,0.5025992,0.001598818,0.0007926273,0.1627633,0.00576382,0.008410625,0.01019211,0.1449674],"study_design_scores_gemma":[0.003313539,0.003464212,0.06832959,0.002996788,0.3084238,0.00273663,0.0005843441,0.4563185,0.008720468,0.1206771,0.02351082,0.0009241991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1084118,0.03262819,0.8313827,0.003919921,0.001469951,0.001932691,0.009098841,0.009281365,0.00187448],"genre_scores_gemma":[0.5246435,0.004003724,0.4627123,0.000901317,0.0006071972,0.00182286,0.003645964,0.001148447,0.0005146852],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9106842,"threshold_uncertainty_score":0.4723525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2821527517032793,"score_gpt":0.3645861574772797,"score_spread":0.08243340577400038,"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."}}