{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003323159,0.000212622,0.0002320563,0.0003313365,0.000142816,0.0001900321,0.0001798609,0.0002266837,0.001937574],"category_scores_gemma":[0.0006405492,0.00008904713,0.0001918898,0.0002774101,0.0001898112,0.00008945556,0.0001634036,0.0001874316,0.0001620741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000109361,"about_ca_system_score_gemma":0.00009995061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001079845,"about_ca_topic_score_gemma":0.002332972,"domain_scores_codex":[0.9998019,0.00005705789,0.0000138828,0.00006847281,0.00003336729,0.00002533462],"domain_scores_gemma":[0.9996946,0.0001331839,0.0001004787,0.00003045141,0.00001888058,0.00002250719],"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":[0.001081256,0.00004697011,0.3622985,0.000221943,0.000547646,0.0009965241,0.0003792026,0.0008383672,0.6040494,0.000553926,0.0004102137,0.02857601],"study_design_scores_gemma":[0.00003025344,0.0002447613,0.9429607,0.00003177144,0.0001634386,0.002025054,0.0001192811,0.001397925,0.05029134,0.0009163662,0.001802311,0.00001691374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952949,0.0007551888,0.002228478,0.0001205702,0.00001092619,0.00001076412,0.0007791752,0.00003765534,0.0007624279],"genre_scores_gemma":[0.9985352,0.00009862881,0.0009974276,0.00004288244,0.000006087211,0.000005829379,0.0001292417,0.000005429859,0.0001793782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001937574,"threshold_uncertainty_score":0.006481826,"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."}}