{"id":"W1964011698","doi":"10.4161/epi.27981","title":"Epipolymorphisms within lipoprotein genes contribute independently to plasma lipid levels in familial hypercholesterolemia","year":2014,"lang":"en","type":"article","venue":"Epigenetics","topic":"Cholesterol and Lipid Metabolism","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Aluminium Refining, Degassing and Filtering (Canada); Cégep de Chicoutimi; Université de Montréal; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; U.S. Forest Service","keywords":"Biology; Internal medicine; Endocrinology; DNA methylation; Missing heritability problem; Methylation; Epigenetics; Lipoprotein; Triglyceride; High-density lipoprotein; Lipoprotein particle; Heritability; PCSK9; Cholesterol; Genetics; Gene; Single-nucleotide polymorphism; LDL receptor; Very low-density lipoprotein; Medicine; Genotype; Gene expression","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008163591,0.0004024445,0.0008032119,0.000335131,0.00008066654,0.00005906121,0.0003162358,0.000337709,0.00006944319],"category_scores_gemma":[0.0003462829,0.0003739153,0.0001359032,0.0003740086,0.00008998011,0.00007634306,0.0001801963,0.0005243198,0.0003633095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001024174,"about_ca_system_score_gemma":0.0001400817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003083605,"about_ca_topic_score_gemma":0.0008186094,"domain_scores_codex":[0.9970213,0.0001893054,0.0008143857,0.0006449216,0.0006313447,0.0006987835],"domain_scores_gemma":[0.9982805,0.0000961253,0.0001426587,0.0007727477,0.0001364021,0.0005716218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009226176,0.0006513834,0.1139624,0.0001765574,0.0001218707,0.00009531496,0.004091977,0.00204349,0.4373211,0.0005050606,0.0004913402,0.4396169],"study_design_scores_gemma":[0.00882116,0.0009052976,0.7105741,0.0003039676,0.0001331029,0.0001039849,0.0001597923,0.001197893,0.1776124,0.000211154,0.09929423,0.0006829709],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929574,0.0004689023,0.001904043,0.001499251,0.001456842,0.0009066661,0.00005413375,0.00009008874,0.0006626839],"genre_scores_gemma":[0.9887774,0.00007003875,0.00407496,0.002905019,0.00204561,0.00008059226,0.00002705827,0.00007957502,0.001939748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5966116,"threshold_uncertainty_score":0.9998713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182740927808127,"score_gpt":0.2645245973133742,"score_spread":0.2426971880352929,"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."}}