{"id":"W2946184487","doi":"10.1101/638544","title":"Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Centre for Reproductive Medicine; University of British Columbia; Canadian Institute for Advanced Research","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Aging; National Institutes of Health; Università degli Studi di Trento; National Institute of Mental Health; Arizona Biomedical Research Commission; Translational Genomics Research Institute; Rush University; Michael J. Fox Foundation for Parkinson's Research; Arizona Department of Health Services; CurePSP; University of Pennsylvania; Mayo Foundation for Medical Education and Research; F. Hoffmann-La Roche; Illinois Department of Public Health; University of Pittsburgh; Mayo Clinic","keywords":"Expression quantitative trait loci; Colocalization; Biology; Meta-analysis; Neuroscience; Computational biology; Gene; Single-nucleotide polymorphism; Genetics; Genotype; Medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01128415,0.001221768,0.00209207,0.002411708,0.0006288161,0.002720879,0.001222589,0.001033292,0.006903728],"category_scores_gemma":[0.02103,0.0005390992,0.01024754,0.003498717,0.0007169348,0.00075513,0.001562541,0.001518897,0.0005068697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006538436,"about_ca_system_score_gemma":0.0008356348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006094427,"about_ca_topic_score_gemma":0.007428085,"domain_scores_codex":[0.9941267,0.002756528,0.0004103489,0.001958797,0.0004917812,0.0002558316],"domain_scores_gemma":[0.9858417,0.009782867,0.0007590019,0.002960084,0.0004242505,0.0002321409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.007851359,0.0000946705,0.3977167,0.005156782,0.4462074,0.001769345,0.0004072365,0.0205121,0.03765813,0.005846721,0.01152787,0.06525164],"study_design_scores_gemma":[0.002168249,0.000829201,0.473423,0.001136535,0.4163254,0.001470351,0.0004554266,0.03418257,0.01615332,0.03228606,0.02136513,0.0002047775],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6862074,0.07531848,0.1867145,0.006713138,0.00104475,0.0002007629,0.03489983,0.003077871,0.005823144],"genre_scores_gemma":[0.9810687,0.00313794,0.009828168,0.0006798563,0.000117063,0.0001213262,0.00394263,0.0003863128,0.0007179174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01128415,"threshold_uncertainty_score":0.05967695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02924994064887575,"score_gpt":0.2709162680344673,"score_spread":0.2416663273855915,"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."}}