{"id":"W4413051598","doi":"10.1016/j.omtn.2025.102636","title":"Off-target effects in CRISPR-Cas genome editing for human therapeutics: Progress and challenges","year":2025,"lang":"en","type":"article","venue":"Molecular Therapy — Nucleic Acids","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"HORIZON EUROPE Framework Programme; Consejería de Salud y Consumo, Junta de Andalucía; Junta de Andalucía; Novo Nordisk Fonden; Danmarks Frie Forskningsfond; Novo Nordisk; Deutsche Forschungsgemeinschaft; European Cooperation in Science and Technology; HORIZON EUROPE European Institute of Innovation and Technology; European Commission; Fundación Mutua Madrileña","keywords":"CRISPR; Genome editing; Computational biology; Biology; Human genome; Genome; Computer science; Genetics; Gene","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":[0.01387392,0.0008138318,0.002233973,0.00082487,0.0005152205,0.003632659,0.001657161,0.002198811,0.002266648],"category_scores_gemma":[0.007128222,0.0005472004,0.0009078307,0.00072666,0.002684735,0.003320013,0.00173163,0.004313692,0.00124543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184534,"about_ca_system_score_gemma":0.00249016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009337669,"about_ca_topic_score_gemma":0.001272252,"domain_scores_codex":[0.9942437,0.002086405,0.0005115476,0.0007675972,0.002125212,0.0002655268],"domain_scores_gemma":[0.9901742,0.007051888,0.0007107617,0.0005081004,0.00134364,0.0002115411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003226696,0.0001857883,0.001191488,0.01454792,0.0002077536,0.0007692829,0.0007664248,0.006006991,0.08731803,0.05386196,0.01747414,0.8173476],"study_design_scores_gemma":[0.00008216963,0.001198004,0.001960169,0.005419419,0.000324108,0.004045231,0.0008189254,0.006695147,0.1026412,0.0556888,0.8208858,0.0002408239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007944965,0.9006669,0.0713103,0.0112826,0.001004924,0.0001126667,0.0001624912,0.0003686773,0.007146527],"genre_scores_gemma":[0.06981602,0.8712273,0.04902851,0.004949104,0.0009491076,0.0002213884,0.0003218369,0.0001728077,0.003313956],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01387392,"threshold_uncertainty_score":0.0733732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117030939455642,"score_gpt":0.3065583232516798,"score_spread":0.2948552293061156,"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."}}