{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150129,0.0007691947,0.0006646019,0.00369728,0.001017941,0.001093201,0.001326769,0.0008756772,0.002094936],"category_scores_gemma":[0.008723375,0.0005309547,0.0008948178,0.002551683,0.0009524835,0.001599951,0.00122947,0.0008499864,0.0006085061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008002711,"about_ca_system_score_gemma":0.0009732131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006204023,"about_ca_topic_score_gemma":0.008328584,"domain_scores_codex":[0.9988256,0.0003896001,0.00006502704,0.0004506236,0.0001812538,0.00008797505],"domain_scores_gemma":[0.9938567,0.004258775,0.0007136245,0.0005214799,0.000455033,0.0001943421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008607758,0.0004360667,0.1316925,0.001188993,0.0008151011,0.001775411,0.001328177,0.3901154,0.03214187,0.1164978,0.01128433,0.3118637],"study_design_scores_gemma":[0.00007685266,0.0001683114,0.01566201,0.00006440993,0.0001582586,0.0008719022,0.0003585173,0.8001183,0.00459015,0.1697184,0.008154579,0.00005832969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1728963,0.0003971147,0.8215396,0.000430324,0.00003979478,0.0001446612,0.001773156,0.0008097667,0.001969242],"genre_scores_gemma":[0.5123392,0.0005250761,0.4800549,0.0002077244,0.00004327935,0.0002962553,0.003962428,0.0001767869,0.002394367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006204023,"threshold_uncertainty_score":0.01233578,"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."}}