{"id":"W4411389345","doi":"10.1101/2025.06.15.25329656","title":"Genome-wide meta-analysis identifies genetic risk factors and implicates multiple body systems in panic attacks and disorder","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrasource; Douglas Mental Health University Institute","funders":"National Health and Medical Research Council; Medical Research Council; NIHR BioResource; King's College London; Department of Health and Social Care; National Institute for Health and Care Research; Queensland Health; NHS Blood and Transplant","keywords":"Panic disorder; Meta-analysis; Panic; Genome-wide association study; Genome; Biology; Medicine; Computational biology; Genetics; Psychology; Psychiatry; Gene; Anxiety; Internal medicine; Single-nucleotide polymorphism; Genotype","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":[0.004239588,0.001378539,0.00227385,0.001546384,0.0004563516,0.001712651,0.0009068608,0.001156657,0.01364212],"category_scores_gemma":[0.01150099,0.0005645112,0.009782403,0.002860888,0.0003532688,0.0005201924,0.0009856833,0.001691892,0.0007928923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004970706,"about_ca_system_score_gemma":0.0008236529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002607713,"about_ca_topic_score_gemma":0.004129548,"domain_scores_codex":[0.9975382,0.001258764,0.0002086679,0.0006246373,0.0002500717,0.0001196637],"domain_scores_gemma":[0.9939041,0.004469485,0.0006186702,0.0005608313,0.0002381168,0.0002087764],"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":[0.0163528,0.0001349525,0.2300309,0.03891921,0.4709135,0.001417245,0.0004403897,0.005774151,0.008280801,0.003935579,0.105587,0.1182135],"study_design_scores_gemma":[0.004155816,0.001147897,0.3612556,0.006906271,0.5200515,0.001868619,0.0003348902,0.007391365,0.004042031,0.02075826,0.07187359,0.0002142306],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2589535,0.5987477,0.03004272,0.03464932,0.007527882,0.000324192,0.05845104,0.001713329,0.009590358],"genre_scores_gemma":[0.8693338,0.08730654,0.01409174,0.003918929,0.004714146,0.0005763471,0.01451962,0.0006262665,0.004912559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01364212,"threshold_uncertainty_score":0.04563749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0320183827225622,"score_gpt":0.27729323917266,"score_spread":0.2452748564500978,"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."}}