{"id":"W2160972508","doi":"10.1093/bioinformatics/bts411","title":"From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs","year":2012,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; National Institute on Aging; Genentech; National Institutes of Health; Canadian Institutes of Health Research; University of California, Los Angeles; Servier; Eisai; Northern California Institute for Research and Education; University of California, San Diego; Pfizer; Biogen; BioClinica; Amorfix Life Sciences; Dana Foundation; Bayer HealthCare; Meso Scale Diagnostics; National Center for Research Resources; F. Hoffmann-La Roche; Medpace; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; Novartis Pharmaceuticals Corporation; Synarc; Foundation for the National Institutes of Health; National Science Foundation","keywords":"Single-nucleotide polymorphism; SNP; Genetic association; Genotype; Computational biology; Biology; Imaging genetics; Phenotype; Genetics; Genome-wide association study; Longitudinal study; Neuroimaging; Medicine; Pathology; Neuroscience; Gene","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":[0.0006118443,0.0001761559,0.0002508044,0.00007069796,0.00009632282,0.00001697958,0.0002279543,0.00013683,0.00004073399],"category_scores_gemma":[0.0005468234,0.0001682726,0.00006313208,0.0001579165,0.00001283504,0.00001685872,0.0001630272,0.00006935839,0.0001176937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006169618,"about_ca_system_score_gemma":0.00006717441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002023389,"about_ca_topic_score_gemma":0.0001237179,"domain_scores_codex":[0.9985207,0.0001209631,0.0005234433,0.0001903976,0.0002356122,0.0004088867],"domain_scores_gemma":[0.9985961,0.00004858914,0.0002799407,0.0004959754,0.0001701303,0.0004092063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003485403,0.0007132876,0.9722939,0.00001366875,0.0004576624,3.79898e-7,0.003761345,0.001327364,0.001936435,0.00003268909,0.01273427,0.006380454],"study_design_scores_gemma":[0.0004573194,0.0007318488,0.991367,0.000006970184,0.0002180256,2.133476e-7,0.001804105,0.0005238834,0.0002737213,0.00003953795,0.004324397,0.0002529899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950129,0.0002138861,0.003223581,0.000183904,0.0003856292,0.0005395011,0.0001173616,0.0000148448,0.0003084389],"genre_scores_gemma":[0.981706,0.00001467485,0.01706098,0.0004300021,0.0003981511,0.00003443269,0.0002498918,0.00001937454,0.00008647551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01907309,"threshold_uncertainty_score":0.6861959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276035959394955,"score_gpt":0.2850777229348396,"score_spread":0.26231736334089,"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."}}