{"id":"W2920967859","doi":"10.1002/gepi.22198","title":"A network approach to prioritizing susceptibility genes for genome‐wide association studies","year":2019,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Epistasis; Missing heritability problem; Biology; Computational biology; Genetic association; Genetics; Genome-wide association study; Biological network; Gene regulatory network; Gene; Centrality; Genome; Single-nucleotide polymorphism; Genotype; Mathematics; Gene expression; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002683745,0.0002556747,0.0006205861,0.00002785967,0.0001307721,0.00001164645,0.0002844686,0.000385879,0.000006006927],"category_scores_gemma":[0.002052524,0.0002403043,0.0001922495,0.0001067907,0.00004850435,0.00000319466,0.0002550376,0.0001242889,0.00005204766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054801,"about_ca_system_score_gemma":0.00005735349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008487908,"about_ca_topic_score_gemma":0.00003298199,"domain_scores_codex":[0.9974414,0.0002695234,0.0007419678,0.0006317745,0.00008051864,0.0008348167],"domain_scores_gemma":[0.9978359,0.0009147793,0.0003205957,0.0005830862,0.0002051404,0.0001404717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003731812,0.0001260544,0.7587761,0.0004819095,0.001047037,5.047173e-7,0.0005488771,0.1050531,0.01855355,0.001330392,0.09088325,0.02282603],"study_design_scores_gemma":[0.002900948,0.002610556,0.2480997,0.00006448695,0.0002552685,0.00002802658,0.000951398,0.01122574,0.0007244378,0.03183236,0.6993855,0.001921555],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7956401,0.01739434,0.1803304,0.001784096,0.001257539,0.002261187,0.00004136424,0.0000377818,0.001253267],"genre_scores_gemma":[0.6244259,0.001575873,0.34836,0.01956934,0.002726462,0.0004543109,0.000387658,0.00007598916,0.002424401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6085023,"threshold_uncertainty_score":0.9799324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0388964229176355,"score_gpt":0.3021281686665643,"score_spread":0.2632317457489288,"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."}}