{"id":"W2920809832","doi":"10.1111/nph.15777","title":"Multitrait genome‐wide association analysis of <i>Populus trichocarpa</i> identifies key polymorphisms controlling morphological and physiological traits","year":2019,"lang":"en","type":"article","venue":"New Phytologist","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biological and Environmental Research; National Institute of Food and Agriculture; UT-Battelle; Oak Ridge National Laboratory; Joint Genome Institute; Battelle; Center for Bioenergy Innovation; Office of Science; U.S. Department of Agriculture; U.S. Department of Energy","keywords":"Biology; Genome-wide association study; Single-nucleotide polymorphism; Populus trichocarpa; Genetic association; Genetics; Genetic architecture; Heritability; Quantitative trait locus; Candidate gene; Association mapping; Gene; Phenotype; Trait; SNP; Missing heritability problem; Genome; Genotype","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002239126,0.0002241069,0.0005807353,0.00009064943,0.00006076531,0.00002556394,0.0002442764,0.0003566274,0.0001021104],"category_scores_gemma":[0.0003346134,0.0001886425,0.0002593492,0.0002782557,0.0001369508,0.000006230132,0.00009728495,0.0001503905,0.00001190054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002144553,"about_ca_system_score_gemma":0.00004653552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007230899,"about_ca_topic_score_gemma":0.00004435582,"domain_scores_codex":[0.9983912,0.0001253835,0.0004123308,0.0005453387,0.0001977043,0.0003280155],"domain_scores_gemma":[0.9991212,0.0001174596,0.0003057914,0.0002609875,0.00008207477,0.0001124412],"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":[0.000378245,0.0002114723,0.3053806,0.00002344875,0.001514208,0.0000026798,0.0001466315,0.007352903,0.6809142,0.0009437509,0.00136096,0.001770909],"study_design_scores_gemma":[0.001343786,0.0005043806,0.9864457,0.000004518793,0.0004407245,0.000003158379,0.00006185559,0.0001246932,0.008863366,0.000612019,0.001349611,0.0002462193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920685,0.001665023,0.004601761,0.0001788766,0.0001622825,0.0002655356,0.00008819864,0.00002148363,0.000948363],"genre_scores_gemma":[0.9928753,0.0001021035,0.004969036,0.0004879988,0.0001348649,0.00001117063,0.0001773076,0.00001231602,0.001229915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6810651,"threshold_uncertainty_score":0.7692617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518677322968136,"score_gpt":0.2420913752311988,"score_spread":0.2269046020015174,"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."}}