{"id":"W4225472713","doi":"10.7554/elife.73983","title":"Barcoded bulk QTL mapping reveals highly polygenic and epistatic architecture of complex traits in yeast","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation; National Institutes of Health; National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; National Institute of General Medical Sciences; Hertz Foundation","keywords":"Epistasis; Quantitative trait locus; Genetic architecture; Biology; Genome-wide association study; Family-based QTL mapping; Genetics; Inclusive composite interval mapping; Association mapping; Locus (genetics); Heritability; Computational biology; Genetic association; Evolutionary biology; Gene mapping; Genotype; Gene; Single-nucleotide polymorphism; Chromosome","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000172813,0.00008856264,0.0001489537,0.00006442576,0.00008658769,0.000007540411,0.0001252984,0.00003333336,0.0000672385],"category_scores_gemma":[0.00002817252,0.00009119171,0.00004031538,0.00008005575,0.00004353487,8.512343e-7,0.0001568609,0.00007985852,0.00000131978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005208909,"about_ca_system_score_gemma":0.00002977938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004142949,"about_ca_topic_score_gemma":0.00001186895,"domain_scores_codex":[0.9992633,0.00007205489,0.000168267,0.0001999086,0.0001352158,0.0001612862],"domain_scores_gemma":[0.9997534,0.00001087703,0.0000636957,0.0001015086,0.00001734797,0.00005322876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006474568,0.00006130261,0.005297204,0.00006197204,0.0000318697,0.000008982858,0.0005493971,0.000422589,0.9879795,0.0001360119,0.003198997,0.002187481],"study_design_scores_gemma":[0.004794923,0.001435946,0.6622472,0.0001326875,0.00006202006,0.000242753,0.004472902,0.0007869093,0.04851896,0.000846723,0.2753392,0.001119741],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997766,0.0005841717,0.0002457443,0.0002653236,0.00003140193,0.000100376,0.0002009798,0.000005219969,0.0008007506],"genre_scores_gemma":[0.9978707,0.00005678073,0.0009962338,0.0004042439,0.00003637559,0.000005690734,0.00008024535,0.000006257231,0.0005434577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9394605,"threshold_uncertainty_score":0.371869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756441827415089,"score_gpt":0.2233182731288952,"score_spread":0.2057538548547443,"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."}}