{"id":"W4297477306","doi":"10.3390/ijms231911456","title":"Single-Cell Chromatin Accessibility Data Combined with GWAS Improves Detection of Relevant Cell Types in 59 Complex Phenotypes","year":2022,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Children’s Health Research Institute; Western University","funders":"Schulich School of Medicine and Dentistry; Natural Sciences and Engineering Research Council of Canada; Compute Canada; Government of Canada; Ontario Institute for Cancer Research; Mitacs; Children's Health Research Institute","keywords":"Genome-wide association study; Phenotype; Chromatin; Computational biology; Cell; Biology; Cell type; Genetics; Single-nucleotide polymorphism; DNA; Gene; Genotype","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001285748,0.0003602912,0.00108842,0.001294887,0.0003049634,0.0008729829,0.0002912237,0.0003972671,0.001905057],"category_scores_gemma":[0.002145925,0.0004032927,0.0008565962,0.001238285,0.0002644564,0.000294136,0.0009648789,0.0005453411,0.0003990519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001615008,"about_ca_system_score_gemma":0.0002765444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00128802,"about_ca_topic_score_gemma":0.003030715,"domain_scores_codex":[0.9988242,0.0002678971,0.00008750334,0.000484056,0.0002423683,0.00009397016],"domain_scores_gemma":[0.9978921,0.001087508,0.0002745717,0.000414069,0.0001594969,0.000172249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007073651,0.0001200985,0.4474113,0.0002190673,0.0007663386,0.0004672784,0.0002061659,0.002165048,0.5162457,0.0003820094,0.0004707803,0.03083891],"study_design_scores_gemma":[0.00004949883,0.0002343138,0.9431577,0.00002181226,0.0005477457,0.0009876692,0.00009541641,0.009166251,0.04167814,0.001057866,0.002960666,0.00004282154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705721,0.0005725689,0.02428425,0.00005882388,0.00002101561,0.00003801155,0.003423564,0.0001820798,0.0008476691],"genre_scores_gemma":[0.9735188,0.0002678503,0.02127156,0.00009178888,0.00002330645,0.00006771257,0.004285899,0.00005383037,0.0004192459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001905057,"threshold_uncertainty_score":0.006799757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807522791308115,"score_gpt":0.2676874748030367,"score_spread":0.2396122468899555,"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."}}