{"id":"W4410898822","doi":"10.1080/17501911.2025.2513215","title":"SNP-associated differential methylation in <i>ARHGEF38</i> : insights into genetic-epigenetic interactions","year":2025,"lang":"en","type":"article","venue":"Epigenomics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Mental Health; National Institute of Environmental Health Sciences; U.S. Department of Veterans Affairs","keywords":"Biology; Epigenetics; Genetics; DNA methylation; SNP; Methylation; Computational biology; Evolutionary biology; Single-nucleotide polymorphism; Gene; Genotype; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001640227,0.0002467942,0.000248504,0.0002692554,0.0001591034,0.00005657836,0.0002476314,0.0002458806,0.00002876813],"category_scores_gemma":[0.0001739821,0.0002734958,0.0001280813,0.0003470347,0.00006308321,0.00000749711,0.0001651749,0.0001901628,0.00001724568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001423118,"about_ca_system_score_gemma":0.0001595438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001889746,"about_ca_topic_score_gemma":0.002844303,"domain_scores_codex":[0.9983067,0.0001913537,0.0005444849,0.0005185842,0.0001276479,0.0003112332],"domain_scores_gemma":[0.9991562,0.00005111215,0.0001538882,0.0004393101,0.000120397,0.00007905382],"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":[0.00008045082,0.0002287767,0.01652951,0.00001867093,0.0001013115,0.000002629464,0.0003932358,0.003366682,0.9576363,0.0002978231,0.0001139067,0.02123073],"study_design_scores_gemma":[0.001551816,0.0002076535,0.2191615,0.00005310011,0.00008011532,5.477909e-7,0.0001271334,0.004042672,0.7080604,0.008781952,0.05734605,0.0005870564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9443681,0.004335793,0.04779783,0.000144985,0.000763112,0.0003299493,0.000007338863,0.00002134182,0.002231598],"genre_scores_gemma":[0.9949896,0.001923526,0.001496646,0.0001355798,0.0001642608,0.00004905703,0.0002730612,0.0000331839,0.0009350438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2495758,"threshold_uncertainty_score":0.9999717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009497621604654102,"score_gpt":0.2729720603466022,"score_spread":0.2634744387419481,"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."}}