{"id":"W2760348166","doi":"10.1371/journal.pone.0185660","title":"Pleiotropy of genetic variants on obesity and smoking phenotypes: Results from the Oncoarray Project of The International Lung Cancer Consortium","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Lunenfeld-Tanenbaum Research Institute; BC Cancer Agency; Public Health Ontario; University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; Gillings School of Public Health; Dartmouth College; World Health Organization","keywords":"Single-nucleotide polymorphism; Body mass index; Obesity; Pleiotropy; SNP; Bonferroni correction; Genetics; Medicine; Biology; Lung cancer; Internal medicine; Genotype; Phenotype; Statistics; Gene","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":[0.003235808,0.0005441663,0.0005617927,0.0009725805,0.0006551953,0.000757508,0.0004941,0.0003969262,0.001428399],"category_scores_gemma":[0.006642352,0.0001984718,0.0009364679,0.001706323,0.0003654335,0.0002029391,0.001411866,0.0005234556,0.000143173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002529906,"about_ca_system_score_gemma":0.0004627948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008585202,"about_ca_topic_score_gemma":0.0121391,"domain_scores_codex":[0.9975914,0.001214379,0.0001259187,0.0006149587,0.0003083288,0.0001449499],"domain_scores_gemma":[0.9961433,0.001811806,0.0009377084,0.0005186029,0.0002197962,0.0003688233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008931839,0.00002676854,0.9905323,0.00003477002,0.0009080848,0.0002493848,0.0001508908,0.00053481,0.001495786,0.0001321116,0.0003249462,0.004716899],"study_design_scores_gemma":[0.00006625021,0.00005289777,0.9971094,0.00001182682,0.0006487267,0.0002568707,0.00007188007,0.0008343169,0.0002066103,0.0001962222,0.0005352039,0.000009789593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948672,0.0005752961,0.0018442,0.0001940046,0.0000101194,0.00002376384,0.001892966,0.00002438459,0.0005681091],"genre_scores_gemma":[0.9963124,0.0002233523,0.0009785157,0.00007542365,0.0000200516,0.00004531377,0.002124673,0.00002708483,0.00019317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008585202,"threshold_uncertainty_score":0.01711273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03975066938679533,"score_gpt":0.2844852331017609,"score_spread":0.2447345637149655,"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."}}