{"id":"W4384407583","doi":"10.1038/s42003-023-05113-5","title":"Regional genetic correlations highlight relationships between neurodegenerative disease loci and the immune system","year":2023,"lang":"en","type":"article","venue":"Communications Biology","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Institute of Neurological Disorders and Stroke; Medical Research Council; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; Institut de Valorisation des Données; National Institutes of Health; UK Research and Innovation","keywords":"Immune system; Biology; Disease; Genome-wide association study; Neurodegeneration; Expression quantitative trait loci; Genetics; Gene; Single-nucleotide polymorphism; Medicine; Genotype","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004965769,0.0001850223,0.0002224462,0.0002305966,0.002174767,0.00008645017,0.0008780873,0.00009032761,0.00001475919],"category_scores_gemma":[0.001072027,0.0001421323,0.00008685928,0.0008568476,0.0009591295,0.0001294197,0.0004920519,0.0004406404,0.0004291285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002902129,"about_ca_system_score_gemma":0.00007310394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005867598,"about_ca_topic_score_gemma":0.000008097582,"domain_scores_codex":[0.9956437,0.002995007,0.0005370027,0.0004326168,0.0001510621,0.0002405646],"domain_scores_gemma":[0.9948449,0.003061871,0.0002399762,0.001620899,0.00008881102,0.0001435423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000242292,0.00001460625,0.001226038,0.000006988351,0.000006846459,0.000002339891,0.0002843614,0.0002569417,0.01964311,0.9776749,0.0005430413,0.0003165984],"study_design_scores_gemma":[0.007981053,0.0002321496,0.2265524,0.0001024064,0.0004745205,0.0002214257,0.00109258,0.4647863,0.06897242,0.08283713,0.1450235,0.001724137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7400022,0.003618838,0.02506631,0.2150137,0.001434432,0.004419351,0.0005325386,0.003211362,0.00670126],"genre_scores_gemma":[0.9964103,0.001140008,0.0004657352,0.0004285692,0.0001027045,0.0002861535,0.0002371514,0.00002724417,0.0009021214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8948378,"threshold_uncertainty_score":0.9991243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1224364473231414,"score_gpt":0.3011952124214501,"score_spread":0.1787587650983087,"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."}}