{"id":"W2707240043","doi":"10.1016/j.bone.2017.06.016","title":"Genetic sharing with coronary artery disease identifies potential novel loci for bone mineral density","year":2017,"lang":"en","type":"article","venue":"Bone","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of General Medical Sciences; National Institute of Mental Health; Fogarty International Center; National Institute on Aging; Canadian Foundation for Dietetic Research","keywords":"Genome-wide association study; Pleiotropy; Single-nucleotide polymorphism; Heritability; Biology; Genetic association; Quantitative trait locus; KEGG; Genetics; Genetic variation; Candidate gene; Missing heritability problem; Coronary artery disease; Gene; Computational biology; Phenotype; Internal medicine; Medicine; Genotype; Gene expression; Gene ontology","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":[0.0007750663,0.0006906926,0.0005583288,0.001970818,0.0008925293,0.0008483661,0.0009982479,0.0009905079,0.007258945],"category_scores_gemma":[0.002416189,0.0003444039,0.0008127224,0.001871993,0.0007699956,0.0003429459,0.0009525856,0.0006810017,0.0003896577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002081461,"about_ca_system_score_gemma":0.000313502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001816167,"about_ca_topic_score_gemma":0.001571397,"domain_scores_codex":[0.998857,0.0004076029,0.00009754244,0.000259373,0.0001807296,0.0001977392],"domain_scores_gemma":[0.9981549,0.000655779,0.0004972536,0.0002018745,0.000119942,0.0003702128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002339301,0.0004809931,0.8721742,0.00007438695,0.001211312,0.009218014,0.0009239418,0.0005628019,0.0954982,0.003391951,0.0004689737,0.01365576],"study_design_scores_gemma":[0.0001745252,0.0004431757,0.9703274,0.00003554897,0.0007534202,0.01531863,0.0006443823,0.002433517,0.004755377,0.003947969,0.001117799,0.00004817764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974929,0.0001751827,0.0009799413,0.000159449,0.00001570827,0.000007021716,0.0001085538,0.000009740992,0.001051495],"genre_scores_gemma":[0.9986566,0.00006797411,0.0006034109,0.00003358531,0.00003692197,0.000004895344,0.00009705691,0.000008842776,0.0004906714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007258945,"threshold_uncertainty_score":0.02428359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705938815589317,"score_gpt":0.3160093455417866,"score_spread":0.2789499573858934,"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."}}