{"id":"W4368347467","doi":"10.1126/science.adh7699","title":"Discovery of target genes and pathways at GWAS loci by pooled single-cell CRISPR screens","year":2023,"lang":"en","type":"article","venue":"Science","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":203,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; National Human Genome Research Institute; Canadian Institutes of Health Research; York University; National Institute of General Medical Sciences; National Institute of Mental Health; American Heart Association; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Biology; Genome-wide association study; Genetics; Gene; Computational biology; Genome; CRISPR; Genomics; Quantitative trait locus; Expression quantitative trait loci; Single-nucleotide polymorphism; Genotype","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":[0.0008355412,0.0005649916,0.0008724265,0.0007899235,0.0003118056,0.000785276,0.0004874534,0.0005002927,0.001896758],"category_scores_gemma":[0.0006997152,0.0003906765,0.0006481533,0.0005818324,0.0003582194,0.0002123315,0.0007759472,0.0007131171,0.0005357144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003862029,"about_ca_system_score_gemma":0.0003554156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008416525,"about_ca_topic_score_gemma":0.002976425,"domain_scores_codex":[0.9995217,0.00005541603,0.00003695399,0.0001832415,0.0001341904,0.00006856069],"domain_scores_gemma":[0.9994648,0.0002339318,0.00008523385,0.0001031114,0.00005194201,0.00006104473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000170241,0.00002970706,0.002511848,0.00007781375,0.00009804615,0.000177294,0.00003186582,0.001125796,0.9896775,0.0006334004,0.0001428992,0.005323478],"study_design_scores_gemma":[0.0001274913,0.0005257148,0.03160816,0.00002110373,0.0004647844,0.0008752527,0.00008667362,0.01714834,0.9366722,0.002110622,0.01029331,0.00006628597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8403233,0.00137913,0.1435034,0.000217399,0.0001049361,0.0002347364,0.008916559,0.001927155,0.003393414],"genre_scores_gemma":[0.9464797,0.0008217932,0.04482275,0.0002981357,0.00002704112,0.0003254769,0.004582139,0.0003105699,0.002332419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001896758,"threshold_uncertainty_score":0.006345332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645196169677083,"score_gpt":0.2235507517951499,"score_spread":0.207098790098379,"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."}}