{"id":"W2802358707","doi":"10.1038/mp.2018.6","title":"Employed family-based genetic discovery combining linkage analysis and exome sequencing to identify RCL1 as a novel candidate gene for depression, with independent replication in a population-based cohort","year":2018,"lang":"en","type":"article","venue":"Molecular Psychiatry","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Replication (statistics); Genetics; Linkage (software); Exome sequencing; Exome; Computational biology; Candidate gene; Depression (economics); Biology; Gene; Genetic linkage; Mutation; Virology","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":[0.001441086,0.001087582,0.0006729189,0.001982383,0.001404909,0.001025293,0.000881258,0.00107402,0.002784123],"category_scores_gemma":[0.004605332,0.0003423463,0.001056043,0.001935859,0.0003644002,0.000400274,0.001014229,0.001103347,0.0007889324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006776565,"about_ca_system_score_gemma":0.00117656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01476556,"about_ca_topic_score_gemma":0.02083606,"domain_scores_codex":[0.9990137,0.0001656919,0.00005356858,0.000519954,0.0001600254,0.00008705942],"domain_scores_gemma":[0.9989059,0.0004374907,0.0001565032,0.0002061206,0.0001781683,0.0001158383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00267952,0.0007855474,0.8094743,0.0002942891,0.003421779,0.01165001,0.001864185,0.003394578,0.07121003,0.001818386,0.005841196,0.08756619],"study_design_scores_gemma":[0.001033359,0.001421473,0.8916164,0.000150854,0.005055839,0.02019893,0.0009605741,0.01728449,0.03394893,0.005258863,0.02289194,0.0001784308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664378,0.001096536,0.01908905,0.0007125374,0.0001139141,0.0003962163,0.00910584,0.0002704595,0.00277756],"genre_scores_gemma":[0.9805396,0.0005486931,0.01234636,0.0003123798,0.000049878,0.0002799209,0.003208016,0.00007290037,0.002642307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01476556,"threshold_uncertainty_score":0.02935922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006828755574368482,"score_gpt":0.2670759943443078,"score_spread":0.2602472387699394,"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."}}