{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001065675,0.0004545139,0.0005107783,0.001282091,0.0005650172,0.0007239211,0.0004867149,0.0003173426,0.002166478],"category_scores_gemma":[0.00112459,0.0002606386,0.0008681998,0.0009998169,0.0003540085,0.0001545554,0.0005772246,0.0007081837,0.0002097429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003771217,"about_ca_system_score_gemma":0.0004382028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01141653,"about_ca_topic_score_gemma":0.03011563,"domain_scores_codex":[0.9992691,0.0001438606,0.00003650232,0.0003242937,0.0001474892,0.00007891136],"domain_scores_gemma":[0.9984177,0.0005916035,0.0004397021,0.0002391274,0.0001734332,0.0001385018],"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":[0.0007515371,0.0001443774,0.4047866,0.0001830717,0.002182371,0.0009744971,0.0003477388,0.003437541,0.5609433,0.000729786,0.0008095639,0.02470972],"study_design_scores_gemma":[0.00003371538,0.0000860236,0.9685205,0.00001307834,0.0005883133,0.000527663,0.0001006529,0.01046409,0.0176456,0.0004430048,0.001541435,0.00003587003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896181,0.0002479242,0.008071017,0.00009428926,0.00001204151,0.00001904927,0.001093845,0.0002016017,0.0006421215],"genre_scores_gemma":[0.993643,0.0001033971,0.004753044,0.00006525599,0.00001088914,0.00002377118,0.0007662929,0.00005823714,0.0005760498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01141653,"threshold_uncertainty_score":0.02270013,"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."}}