{"id":"W2791822589","doi":"10.1038/s41431-017-0050-x","title":"Genome-wide search for higher order epistasis as modifiers of treatment effects on bone mineral density in childhood cancer survivors","year":2018,"lang":"en","type":"article","venue":"European Journal of Human Genetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Institutes of Health; Alberta Machine Intelligence Institute; American Lebanese Syrian Associated Charities; National Cancer Institute; Rally Foundation","keywords":"Epistasis; Single-nucleotide polymorphism; Biology; SNP; Enhancer; Genetics; Genome-wide association study; Bonferroni correction; Quantitative trait locus; Computational biology; Gene; Transcription factor; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004945629,0.0001728024,0.0002513559,0.0001263224,0.0000737198,0.00001652898,0.0001641913,0.00005251852,0.00001769259],"category_scores_gemma":[0.00004488921,0.0001502532,0.0001287554,0.00009000264,0.00009645824,0.000002545764,0.00004437302,0.00008138712,0.000003181824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005575441,"about_ca_system_score_gemma":0.00009497358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000321995,"about_ca_topic_score_gemma":0.000135874,"domain_scores_codex":[0.9986672,0.000297815,0.0004349007,0.0002119212,0.0001611546,0.0002270164],"domain_scores_gemma":[0.9990254,0.00003458799,0.0002480345,0.0002401882,0.0003452651,0.0001065092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000292485,0.0002580222,0.0290698,0.00003445136,0.0001926276,0.00002635107,0.0005833631,0.00249163,0.9574741,0.00001602947,0.00006472666,0.009496453],"study_design_scores_gemma":[0.001803879,0.007860076,0.2903066,0.00003488703,0.00005909957,0.000003136931,0.0000216155,0.00001290107,0.6958694,0.0000578703,0.003808028,0.0001624582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962119,0.002114627,0.0004962293,0.00006304876,0.0002095711,0.0002209537,0.00001258862,0.000001849738,0.0006692297],"genre_scores_gemma":[0.9971473,0.0006993443,0.0009596547,0.00007547819,0.0006903441,0.000002564592,0.0000209601,0.0000448306,0.0003595705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2616047,"threshold_uncertainty_score":0.6127149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150763329675161,"score_gpt":0.2913172990787249,"score_spread":0.2698096657819733,"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."}}