{"id":"W3208273675","doi":"10.1101/2021.10.19.462578","title":"Uncovering the Genetic Architecture of Broad Antisocial Behavior through a Genome-Wide Association Study Meta-analysis","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Université Laval","funders":"","keywords":"Genetic architecture; Heritability; Genome-wide association study; SNP; Genetics; Aggression; Psychopathy; Pleiotropy; Antisocial personality disorder; Meta-analysis; Trait; Biology; Missing heritability problem; Genotype; Genetic correlation; Genetic association; Quantitative trait locus; Psychology; Genetic variation; Single-nucleotide polymorphism; Developmental psychology; Gene; Poison control; Medicine; Injury prevention; Internal medicine; Phenotype; Personality","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":[0.009617734,0.001978822,0.004861464,0.003744492,0.0009366735,0.003028781,0.001488644,0.001473175,0.001870708],"category_scores_gemma":[0.01105943,0.001268638,0.01833831,0.005705199,0.0006446866,0.0008524225,0.001531038,0.001987886,0.0002103896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006411686,"about_ca_system_score_gemma":0.001236096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008809336,"about_ca_topic_score_gemma":0.01120332,"domain_scores_codex":[0.9926847,0.003769071,0.0007693536,0.001929191,0.0005007239,0.0003469998],"domain_scores_gemma":[0.9922628,0.004679426,0.0008430742,0.001429686,0.0004958035,0.0002891348],"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":[0.003410819,0.0000580564,0.2886067,0.003425423,0.6866837,0.0006486649,0.0001798904,0.001952922,0.003401049,0.0003722208,0.0009951955,0.01026535],"study_design_scores_gemma":[0.000690486,0.0004450182,0.1804093,0.0005776698,0.8087916,0.0005072732,0.0001691181,0.004388946,0.0007946331,0.001334587,0.001840754,0.0000506161],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6727189,0.2901681,0.02592363,0.001978065,0.0007709857,0.0002783107,0.005322552,0.0007714458,0.002067931],"genre_scores_gemma":[0.9822555,0.01096238,0.004330767,0.0003464199,0.0001428173,0.0001642259,0.001403199,0.00009006326,0.0003046987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009617734,"threshold_uncertainty_score":0.05086404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150729200109073,"score_gpt":0.2352974942062672,"score_spread":0.2137902022051765,"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."}}