{"id":"W2648511035","doi":"10.1002/gepi.22051","title":"Detecting genetic association through shortest paths in a bidirected graph","year":2017,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Genentech; National Institutes of Health; Northern California Institute for Research and Education; Alzheimer's Disease Neuroimaging Initiative; GE Healthcare; DoD Alzheimer's Disease Neuroimaging Initiative; Pfizer; BioClinica; Biogen; Bristol-Myers Squibb; Meso Scale Diagnostics; Novartis Pharmaceuticals Corporation; F. Hoffmann-La Roche; Merck; Alzheimer's Drug Discovery Foundation; Takeda Pharmaceutical Company; AbbVie; National Institute on Aging; Fujirebio Europe; Alzheimer's Association; Japan Society for the Promotion of Science; Foundation for the National Institutes of Health","keywords":"Linkage disequilibrium; Single-nucleotide polymorphism; Genetic association; Genome-wide association study; SNP; Biology; Regression; Genetics; Mathematics; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001128458,0.0002420206,0.0004370112,0.00005575755,0.0002887474,0.00003230634,0.0004889871,0.0005525525,0.00002505713],"category_scores_gemma":[0.001623048,0.000240885,0.0001461721,0.00005965528,0.0001169427,0.000006553509,0.0002539581,0.0002569558,0.00003744311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005455513,"about_ca_system_score_gemma":0.00006911656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003164565,"about_ca_topic_score_gemma":0.001027927,"domain_scores_codex":[0.9976713,0.0003002693,0.0007506759,0.000487598,0.00008477369,0.0007053813],"domain_scores_gemma":[0.9981205,0.0001794035,0.0006646925,0.0008668432,0.00007568791,0.00009289193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005020401,0.00005587297,0.9037015,0.00002473363,0.0001285192,0.0000140719,0.0001720966,0.00181504,0.02707166,0.0001082878,0.002860204,0.0639978],"study_design_scores_gemma":[0.000982865,0.000289673,0.9656006,0.00003275282,0.00004126783,0.00005037744,0.00005381023,0.003255475,0.003086516,0.01317832,0.01292138,0.0005069257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972029,0.002802994,0.02115225,0.0006664173,0.0005782284,0.0003245569,0.00001471895,0.00002274525,0.002409072],"genre_scores_gemma":[0.9659124,0.001459943,0.03083035,0.0009542573,0.0004803211,0.00005502513,0.00004156896,0.0000297939,0.0002363362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06349087,"threshold_uncertainty_score":0.9823005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697238852843685,"score_gpt":0.2933464913314006,"score_spread":0.2663741028029637,"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."}}