{"id":"W2989830298","doi":"10.1038/s41598-019-54514-2","title":"Predicting novel genomic regions linked to genetic disorders using GWAS and chromosome conformation data – a case study of schizophrenia","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Genome-wide association study; Single-nucleotide polymorphism; Genetics; Biology; Gene; Computational biology; Human genome; Genetic association; Genome; Phenotype; Genetic architecture; Candidate gene; Genotype","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007285769,0.0002994681,0.0002983183,0.001674453,0.0004879306,0.0003527389,0.0002872115,0.0004925625,0.001117929],"category_scores_gemma":[0.002781441,0.0002040389,0.0006221413,0.001384253,0.0003169541,0.0002132534,0.0004155146,0.0003059355,0.000142141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000245347,"about_ca_system_score_gemma":0.0004107074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007666251,"about_ca_topic_score_gemma":0.01693811,"domain_scores_codex":[0.9996415,0.0001090514,0.00003798323,0.0001240579,0.00004919213,0.0000381263],"domain_scores_gemma":[0.9987304,0.0006768859,0.0002732193,0.0001363986,0.00007263554,0.0001105434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005062429,0.0001361472,0.9400873,0.00009934659,0.0003505289,0.01153777,0.0004593355,0.006811772,0.02264415,0.0005154929,0.0005647736,0.01628707],"study_design_scores_gemma":[0.000138659,0.0003008811,0.8941853,0.000055196,0.0006731115,0.01974348,0.001301382,0.07048849,0.007457387,0.003025222,0.002561358,0.00006956718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970632,0.0001065162,0.002188975,0.00007756578,0.000001894747,0.0000132287,0.0004301528,0.00001522643,0.0001032135],"genre_scores_gemma":[0.9934778,0.0001472269,0.005369885,0.000017952,0.000004326043,0.00001229789,0.0008578508,0.000007516973,0.000105061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007666251,"threshold_uncertainty_score":0.01524329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154618286085385,"score_gpt":0.2896040034915877,"score_spread":0.2580578206307338,"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."}}