{"id":"W2899670911","doi":"10.1161/circ.133.suppl_1.mp83","title":"Abstract MP83: Exomechip Meta-analysis of 526,508 Individuals From Five Ancestries Identifies Coding Variation in <i>MC4R</i> and <i>KSR2</i> Associated with Body Mass Index","year":2016,"lang":"en","type":"article","venue":"Circulation","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Genome-wide association study; Allele; Genetics; Medicine; Body mass index; Genetic association; Missense mutation; Single-nucleotide polymorphism; Gene; Locus (genetics); Meta-analysis; Internal medicine; Biology; Genotype; Mutation","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":[0.004864836,0.001610686,0.003187713,0.002053255,0.0007291905,0.002044546,0.001262106,0.000965749,0.006200337],"category_scores_gemma":[0.007006956,0.0005823239,0.01243727,0.004498696,0.0003682976,0.0007206379,0.001379458,0.001302832,0.0005431295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003796534,"about_ca_system_score_gemma":0.0004988356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005059017,"about_ca_topic_score_gemma":0.005091669,"domain_scores_codex":[0.9958906,0.001415425,0.0005173595,0.001451723,0.0004693561,0.0002554698],"domain_scores_gemma":[0.9955314,0.002497439,0.0006519837,0.0007628662,0.0003730432,0.0001833608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.009393862,0.00004838637,0.3897062,0.005701609,0.5659072,0.001030506,0.0001567835,0.001882217,0.008330044,0.0004484252,0.005214051,0.01218066],"study_design_scores_gemma":[0.001012147,0.0004976537,0.4062448,0.0007404832,0.5787678,0.001358755,0.0001796541,0.002572115,0.002655662,0.001024309,0.004886213,0.00006037299],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8017163,0.128102,0.02008275,0.002045923,0.0006577562,0.0002323203,0.04346401,0.0007269406,0.002971991],"genre_scores_gemma":[0.9858088,0.00397934,0.002337219,0.0003560884,0.0001589309,0.0001594039,0.006101626,0.0001297193,0.0009689303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006200337,"threshold_uncertainty_score":0.02572805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0258080481272495,"score_gpt":0.2510095735108255,"score_spread":0.225201525383576,"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."}}