{"id":"W4411582560","doi":"10.1016/j.rpth.2025.102955","title":"Genome-wide association and linkage analysis of histidine-rich glycoprotein identifies common variants associated with plasma histidine-rich glycoprotein concentrations","year":2025,"lang":"en","type":"article","venue":"Research and Practice in Thrombosis and Haemostasis","topic":"Coagulation, Bradykinin, Polyphosphates, and Angioedema","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Linkage (software); Genetics; Glycoprotein; Biology; Genetic association; Genome-wide association study; Genome; Computational biology; Genetic linkage; Association (psychology); Gene; Genotype; Single-nucleotide polymorphism; Psychology","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":[0.001073173,0.0005581287,0.0004465848,0.001500864,0.000502028,0.0006216274,0.0005152436,0.0009804566,0.002532489],"category_scores_gemma":[0.002108364,0.0002780946,0.0007570217,0.002189715,0.0005702774,0.0002037574,0.0005574285,0.0006933893,0.000185807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001922687,"about_ca_system_score_gemma":0.0002692655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003179265,"about_ca_topic_score_gemma":0.001902924,"domain_scores_codex":[0.9987465,0.0004876196,0.0001030562,0.0003801638,0.0001682434,0.0001143198],"domain_scores_gemma":[0.9986045,0.0006413331,0.0004187291,0.0001174383,0.00008303517,0.0001350572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002299154,0.0002055948,0.9484897,0.00008565245,0.002054397,0.00326737,0.0003862375,0.0008967466,0.03133689,0.0006394704,0.000532602,0.009806271],"study_design_scores_gemma":[0.00008306735,0.0002037383,0.9933721,0.0000120792,0.000496164,0.002625653,0.0001100882,0.001093059,0.001234899,0.0002984449,0.0004566457,0.00001398274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976985,0.0003965362,0.001168552,0.00008538194,0.000009903868,0.0000106193,0.0002578265,0.00001421363,0.0003584283],"genre_scores_gemma":[0.9987093,0.0001344833,0.0007636741,0.00002473393,0.00001246746,0.00000871385,0.0001759245,0.000006080034,0.0001645915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003179265,"threshold_uncertainty_score":0.008472025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0697634759371745,"score_gpt":0.3809246798363361,"score_spread":0.3111612038991616,"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."}}