{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001131663,0.0008129868,0.001648999,0.0004400158,0.0002314626,0.0002658805,0.000780256,0.001287664,0.00013917],"category_scores_gemma":[0.0003790734,0.0008366883,0.001220275,0.0005468975,0.0001240541,0.00001176983,0.002118336,0.001293872,0.00002940737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108247,"about_ca_system_score_gemma":0.0003579701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007238792,"about_ca_topic_score_gemma":0.00002730919,"domain_scores_codex":[0.9948999,0.0005938952,0.0007464697,0.002030385,0.0006605953,0.001068711],"domain_scores_gemma":[0.9959873,0.00009569616,0.0004039556,0.002567563,0.0003950402,0.0005504289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004540651,0.0001181383,0.01534328,0.0004288827,0.06110016,0.00005144243,0.00001117683,0.0002222925,0.9216865,0.0003898802,0.0006021759,6.635785e-7],"study_design_scores_gemma":[0.001803471,0.0003673189,0.1311496,0.0001257403,0.08350968,1.974834e-7,0.0000144824,0.0009584543,0.7704077,0.00001419455,0.008718001,0.002931191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8156432,0.003740008,0.1760682,0.0007528191,0.000275283,0.001293279,0.002100531,0.0001165482,0.00001017218],"genre_scores_gemma":[0.9972539,0.00038224,0.0009543162,0.0004465923,0.0004392868,0.0002124046,0.00002072756,0.0002094792,0.00008108651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1816107,"threshold_uncertainty_score":0.9994084,"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."}}