{"id":"W2974932156","doi":"10.1111/nph.16220","title":"Linkage‐linkage disequilibrium dissection of the epigenetic quantitative trait loci (epiQTLs) underlying growth and wood properties in <i>Populus</i>","year":2019,"lang":"en","type":"article","venue":"New Phytologist","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Beijing Nova Program; National Natural Science Foundation of China","keywords":"Epigenetics; Biology; Genetics; Quantitative trait locus; Linkage disequilibrium; DNA methylation; Population; Gene; Genetic architecture; Phenotype; Association mapping; Genetic linkage; Methylation; Single-nucleotide polymorphism; Evolutionary biology; Gene expression; Genotype","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003136816,0.0001998596,0.0001411614,0.0006419754,0.0001861881,0.0001870702,0.0001906397,0.0001205247,0.000955488],"category_scores_gemma":[0.0003858152,0.0001219783,0.0001629501,0.0003470586,0.0001747027,0.0000822815,0.0003095433,0.0001996353,0.0001047963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001830483,"about_ca_system_score_gemma":0.00009606723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075973,"about_ca_topic_score_gemma":0.001817554,"domain_scores_codex":[0.9998513,0.00003302994,0.000009094146,0.00005899004,0.00002555668,0.00002203698],"domain_scores_gemma":[0.9997589,0.00008072038,0.00009102168,0.00001883638,0.00001715463,0.00003330809],"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":[0.0003822682,0.00003936266,0.05374183,0.00004957576,0.0001321331,0.0002920069,0.000207137,0.0005648091,0.9330646,0.0006405016,0.00004997307,0.01083577],"study_design_scores_gemma":[0.00004263511,0.0001542214,0.9203821,0.000008487915,0.0001380192,0.000747681,0.00008721474,0.003122131,0.07336862,0.0005810212,0.001348017,0.00001980135],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974873,0.0000698382,0.001993046,0.000008085169,0.000001077405,0.000006521028,0.0001823668,0.00001566214,0.0002359905],"genre_scores_gemma":[0.9979917,0.00004144838,0.001411188,0.00001059731,0.00000239718,0.00001065217,0.0003096453,0.000008732653,0.0002137864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001075973,"threshold_uncertainty_score":0.003196418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03276359291908908,"score_gpt":0.2509666656553102,"score_spread":0.2182030727362211,"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."}}