{"id":"W2913418608","doi":"10.1002/ana.25431","title":"Shared polygenic risk and causal inferences in amyotrophic lateral sclerosis","year":2019,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; National Institutes of Health; Università degli Studi di Torino; Sigrid Juséliuksen Säätiö; Ministero della Salute; Rosetrees Trust; Academy of Medical Sciences; Parkinson's UK; National Institute of Neurological Disorders and Stroke; National Institute for Health and Care Research; Microsoft Research; EU Joint Programme – Neurodegenerative Disease Research; National Institute on Aging; Target ALS; Consortium canadien en neurodégénérescence associée au vieillissement; ALS Association; Wellcome Trust; Johns Hopkins University; Muscular Dystrophy Association; Barts Charity; Royal Society; Wellcome; Merck","keywords":"Amyotrophic lateral sclerosis; Polygenic risk score; Neuroscience; Psychology; Medicine; Physical medicine and rehabilitation; Biology; Genetics; Disease; Internal medicine; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01281108,0.000768862,0.0009618537,0.002325848,0.0006044135,0.001364476,0.0009197057,0.0006619418,0.003323077],"category_scores_gemma":[0.04851785,0.0004117407,0.001716932,0.002479601,0.001033579,0.000984617,0.002629819,0.0008498504,0.0002503395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003808326,"about_ca_system_score_gemma":0.0009440108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00298287,"about_ca_topic_score_gemma":0.00286048,"domain_scores_codex":[0.9888662,0.007083881,0.0006599646,0.00224041,0.000853077,0.0002963837],"domain_scores_gemma":[0.9714277,0.02078905,0.004388209,0.002366944,0.0005287161,0.0004992799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00172842,0.0001677411,0.8994142,0.0005745771,0.007320557,0.001631707,0.000576527,0.00705222,0.003701236,0.006564697,0.001743024,0.06952506],"study_design_scores_gemma":[0.0009462873,0.0007012608,0.792154,0.0004032869,0.00776513,0.002856926,0.0004532335,0.07280981,0.002682657,0.112902,0.006181113,0.000144178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8902408,0.004282487,0.09785236,0.00210843,0.0000820506,0.0001517347,0.002939132,0.0004598214,0.001883292],"genre_scores_gemma":[0.9789841,0.0004940521,0.0187082,0.0002428572,0.00009775312,0.00008735383,0.001140771,0.00004230457,0.0002026535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01281108,"threshold_uncertainty_score":0.0677523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08121324351362064,"score_gpt":0.3274982528989835,"score_spread":0.2462850093853629,"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."}}