{"id":"W2790767130","doi":"10.1101/281162","title":"An eQTL landscape of kidney tissue in human nephrotic syndrome","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Renal Diseases and Glomerulopathies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health; University of North Carolina at Chapel Hill; Curtin University of Technology; Rare Diseases Clinical Research Network; Cedars-Sinai Medical Center; Temple University; Children's Mercy Hospital; Emory University; Case Western Reserve University; National Institute of Diabetes and Digestive and Kidney Diseases; Johns Hopkins University; Wake Forest University; University of California, Los Angeles; University of Michigan; York University; University of Miami; Halpin Foundation; University of Washington; University of Pennsylvania; Nephcure Foundation","keywords":"Expression quantitative trait loci; Genome-wide association study; Biology; Transcriptome; Quantitative trait locus; Gene; Computational biology; Genetics; Gene expression; Single-nucleotide polymorphism; Genotype","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007062087,0.0001204981,0.0002921511,0.0009339646,0.0002710442,0.0005278675,0.000228669,0.0002553607,0.001919561],"category_scores_gemma":[0.002107322,0.0001451053,0.0004201939,0.0007844054,0.0003850365,0.0002304678,0.0004503722,0.0003100513,0.0001193215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119632,"about_ca_system_score_gemma":0.0001873237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003524483,"about_ca_topic_score_gemma":0.005160908,"domain_scores_codex":[0.9994159,0.0001123414,0.00004141126,0.0002766627,0.00009282075,0.00006088123],"domain_scores_gemma":[0.9987956,0.000720651,0.0002052372,0.0001042306,0.0001212055,0.00005302226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006562013,0.00002071255,0.7799049,0.000136223,0.0005783726,0.0005942824,0.000483877,0.004153399,0.1941593,0.001515401,0.0004637627,0.01733353],"study_design_scores_gemma":[0.00001854498,0.00007928293,0.9799572,0.00001306483,0.0001441056,0.0008187418,0.0001521288,0.008730155,0.007440637,0.001891985,0.0007311259,0.00002303352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951403,0.0002895444,0.003193493,0.00006818448,0.00000209004,0.000003531878,0.0009950927,0.00002888672,0.0002787941],"genre_scores_gemma":[0.9983608,0.00004339268,0.0008024586,0.00005178933,0.000002115516,0.00000399353,0.000604024,0.0000115388,0.0001198741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003524483,"threshold_uncertainty_score":0.007007957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189483819932498,"score_gpt":0.2560906422813311,"score_spread":0.2441958040820061,"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."}}